BEGIN:VCALENDAR
VERSION:2.0
X-WR-CALNAME:kccncind2026
X-WR-CALDESC:Event Calendar
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//Sched.com KubeCon + CloudNativeCon India 2026//EN
X-WR-TIMEZONE:UTC
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260617T040000Z
DTEND:20260617T133000Z
SUMMARY:[SOLD OUT] Distributed SQL Summit hosted by YugabyteDB | SEPARATE REGISTRATION REQUIRED
DESCRIPTION:Experience Distributed SQL Summit Mumbai. Bringing top industry voices\, real-world insights\, live demos\, exclusive swag\, great food\, raffles\, and high-impact exclusive networking\, all in one flagship India event.\n\nPlease note that this is an off-site Sponsor-hosted Co-located event.\n\n\nFor more information on the event and to register:https://events.ringcentral.com/events/distributed-sql-summit-mumbai-2026/registration &nbsp\;\nFor questions regarding this event\, please contact: events@yugabyte.com
CATEGORIES:SPONSOR-HOSTED CO-LOCATED EVENT
LOCATION:Trident Hotel BKC\, Golconda Ballroom\, C 56\, G Block BKC\, Bandra Kurla Complex\, Bandra East\, Mumbai\, Maharashtra 400098\, India
SEQUENCE:0
UID:26b12b8f6ce0c414f774ba2aa100802a
URL:http://kccncind2026.sched.com/event/26b12b8f6ce0c414f774ba2aa100802a
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260617T070000Z
DTEND:20260617T120000Z
SUMMARY:[SOLD OUT] VMware vSphere Kubernetes Service (VKS) Community Day: Building AI-Ready Platforms\, the Cloud Native Way Hosted by VMware by Broadcom | SEPARATE REGISTRATION REQUIRED
DESCRIPTION:The future of AI-ready\, cloud-native platforms is being built now — and this is where the community comes together to shape it.\nJoin Broadcom technical experts\, customers\, partners\, and platform engineers from the community for an exclusive half-day event focused on:\nLatest advancements in VMware vSphere Kubernetes Service (VKS) in VMware Cloud Foundation (VCF) that uniquely enable platform teams to be successful.Enabling faster and more resilient paths to get code from development to production.Efficiently managing your GPU estate for AI workloads.Leveraging a secure infrastructure foundation to build internal development platforms (IDPs) for modern and AI workloads\nFrom the VCF 9.1 release with latest VKS updates to live demos\, customer-led sessions\, and conversations with maintainers — this event brings together technology\, real-world experience\, and community collaboration in one place.\n\nPlease note that this is an off-site Sponsor-hosted Co-located event.\n\nFor more information on the event and to register:&nbsp\;https://go-vmware.broadcom.com/vks-community-day-mumbai&nbsp\;\nFor questions regarding this event\, please contact:&nbsp\;sonal.chawla@broadcom.com
CATEGORIES:SPONSOR-HOSTED CO-LOCATED EVENT
LOCATION:Harbor Hall\, Novotel Mumbai International Airport\, CTS 1359\, next to Airport Metro Station\, Bori Colony\, Marol\, Andheri East\, Maharashtra 400059
SEQUENCE:0
UID:cdfafc3bff75a7f0b8fcd61a8658b61b
URL:http://kccncind2026.sched.com/event/cdfafc3bff75a7f0b8fcd61a8658b61b
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260617T100000Z
DTEND:20260617T140000Z
SUMMARY:Registration + Badge Pick-Up
DESCRIPTION:\n
CATEGORIES:REGISTRATION
LOCATION:Lotus Foyer (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:a2155cb8997ccbc5ed056ea0068ff9c2
URL:http://kccncind2026.sched.com/event/a2155cb8997ccbc5ed056ea0068ff9c2
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T020000Z
DTEND:20260618T143000Z
SUMMARY:Cloakroom
DESCRIPTION:\n
CATEGORIES:REGISTRATION
LOCATION:Lotus Foyer (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:3af84256dd44957519a2140d0f7965ce
URL:http://kccncind2026.sched.com/event/3af84256dd44957519a2140d0f7965ce
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T023000Z
DTEND:20260618T130000Z
SUMMARY:Registration + Badge Pick-Up
DESCRIPTION:\n
CATEGORIES:REGISTRATION
LOCATION:Lotus Foyer (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:48cea909981f4ebaa3ce5081546295f8
URL:http://kccncind2026.sched.com/event/48cea909981f4ebaa3ce5081546295f8
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T041500Z
DTEND:20260618T045000Z
SUMMARY:Keynote: Welcome + Opening Remarks - Jonathan Bryce\, Executive Director\, Cloud and Infrastructure & Chris Aniszczyk\, CTO\, Cloud and Infrastructure\, Linux Foundation
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:73b974ebca2663d98cb94102ccf998a3
URL:http://kccncind2026.sched.com/event/73b974ebca2663d98cb94102ccf998a3
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T045200Z
DTEND:20260618T045700Z
SUMMARY:Keynote: Sovereign AI at Population Scale. How Sarvam Runs 100 Million+ Conversations Across India's Languages on a CNCF Stack - Avi Kothari\, Senior Infrastructure Engineer & Vinayak Gavariya\, Lead Developer Relations Engineer\, Sarvam
DESCRIPTION:India speaks in 22 languages. Sarvam ensures AI speaks back in every one of those languages\, whether in Marathi to a farmer confirming her crops\, in Tamil to a citizen accessing a government scheme\, or in Hindi to a customer resolving a loan query. Delivering that across millions of API calls and voice conversations daily\, at sub-second latency\, and while remaining auditable\, is as much an infrastructure challenge as an AI one.\n\nIn this keynote\, we explore how Sarvam uses CNCF technologies to power its conversational AI agent platform and how that platform drove a national crop-verification program that reached 17 million farmers across 4 states in a single 24-day campaign\, with a roadmap to 8 crore farmers for the next season. The stack includes Linkerd for a zero-trust service mesh\, Strimzi-managed Kafka for event streaming\, Argo CD and Helm for GitOps-based delivery across roughly 20 components\, Prometheus and Thanos for unified multi-cluster observability\, and CloudNativePG as the database of record.
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:f01dc15c2b5a361a29206d2ae506e13c
URL:http://kccncind2026.sched.com/event/f01dc15c2b5a361a29206d2ae506e13c
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T045900Z
DTEND:20260618T050400Z
SUMMARY:Keynote: From Afterthought to Practice: How Flipkart Built a Multi-tenant Chaos Platform on LitmusChaos - Aditya Sridasyam\, Software Development Engineer\, Flipkart & Uma Mukkara\, Head of Resilience Testing\, Harness
DESCRIPTION:Flipkart\, one of India's leading digital commerce entities\, runs hundreds of tightly coupled microservices that must withstand the massive traffic surges of Big Billion Days and festive sales. To stop treating outages as an afterthought\, Flipkart's Central Reliability Engineering team built a centralized chaos engineering platform on top of Litmus Chaos. To make it work at their scale\, they customized Litmus in four meaningful ways: a hybrid multi-tenancy architecture that splits the difference between cluster-wide and namespace-wide installs\, a DaemonSet-based high-availability model for chaos injection\, a first-class Script Runner fault for dynamic target selection and context chaining\, and a hybrid VM chaos extension for workloads that don't run on Kubernetes. This talk shares what they built\, why\, and what they contributed back upstream.
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:44adf8a4fc52606027556b81a4f1f900
URL:http://kccncind2026.sched.com/event/44adf8a4fc52606027556b81a4f1f900
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T050600Z
DTEND:20260618T051600Z
SUMMARY:Keynote: Plug in and Scale: Serving LLM Models on Kubernetes Made Simple - Shrinidhi Venkataraman\, AI Platform Engineer\, AstraZeneca & Nithin R\, AI Platform Engineer\, AstraZeneca
DESCRIPTION:Our session introduces a cloud-native\, in-house platform for modular LLM inference at enterprise scale. Built on Kubernetes\, the architecture unifies open-source and vendor models via OpenAI-compatible APIs and supports distributed serving with popular inference runtimes like vLLM\, SGLang\, and Triton.\n\nPowered by NVIDIA Dynamo\, the system optimizes GPU fleets through intelligent scheduling\, KV-aware routing\, prefix caching\, and NIXL-based GPU-to-GPU data transfer\, further optimized by allocating fractions of a GPU using KAI-Scheduler. The platform delivers streaming\, speculative decoding\, quantization\, and autoscaling to zero via KEDA.\n\nWe ensure comprehensive observability with Prometheus\, Grafana\, and ELK\, all governed by GitOps principles using ArgoCD and secured with enterprise-grade practices. For end-user consumption\, the platform integrates with Open WebUI via standard APIs. We’ll cover the architecture\, key components\, and cloudability-driven cost governance strategies that empower data science teams while accelerating safe\, sustainable AI innovation across AstraZeneca.\nOur session introduces a cloud-native\, in-house platform for modular LLM inference at enterprise scale. Built on Kubernetes\, the architecture unifies open-source and vendor models via OpenAI-compatible APIs and supports distributed serving with popular inference runtimes like vLLM\, SGLang\, and Triton.\n\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:629e5edc3eb97b715c947e02ec2314fc
URL:http://kccncind2026.sched.com/event/629e5edc3eb97b715c947e02ec2314fc
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T051800Z
DTEND:20260618T052800Z
SUMMARY:Keynote: From Platforms to AI Factories. Has Kubernetes Solved It? - Saiyam Pathak\, Principal Developer Advocate\, vCluster
DESCRIPTION:Two years ago\, every platform team was building developer platforms. Today the same teams\, and the AI Cloud providers selling to them\, face a harder question. How do you safely share GPU infrastructure across multiple AI teams without stepping on each other?\n\nKubernetes is already the production platform for AI inference. Containers\, autoscaling\, multi-tenancy\, RBAC are all solved. The remaining problem is GPUs themselves. Today Kubernetes asks for them in whole numbers. One pod\, one GPU\, even when the workload uses 10% of it.\n\nThis keynote walks through how the CNCF ecosystem\, and Kubernetes itself\, has answered. HAMi virtualizes one physical GPU into multiple slices today\, each with its own memory budget. DRA evolves the platform's resource model so Kubernetes finally understands GPUs as rich devices instead of opaque numbers.\n\nThen\, we move to a live demo. There will be a MacBook on stage\, connected directly to an NVIDIA DGX Spark. A single Blackwell GPU will run two open source LLMs for two teams\, generating answers simultaneously. There are no slides and no recordings.\n\nThat's the AI factory. And yes\, Kubernetes has solved it\, with a little help from its friends.
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:11f9863b8f6d7e24a140fbff8a32ae96
URL:http://kccncind2026.sched.com/event/11f9863b8f6d7e24a140fbff8a32ae96
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T053000Z
DTEND:20260618T053300Z
SUMMARY:Keynote: Engineering Population-Scale AI & AI Infrastructure with Cloud Native Technologies at NPCI - Tittu Varghese\, In-charge\, AI Infrastructure Engineering\, National Payments Corporation of India (NPCI)
DESCRIPTION:National Payments Corporation of India (NPCI) processes more than 24 billion monthly transactions and 700 million daily payments on one of the world’s largest real-time payment systems\, all powered by open source\, cloud native infrastructure. In this keynote\, NPCI will share how they built their AI infrastructure using Kubernetes\, Kubeflow\, Prometheus\, vLLM\, OpenStack\, NVIDIA AI platforms and many more open-source components to deliver real-time fraud detection in under sub second latency at national scale. The session will explore the architecture behind their payment rail including GPU-accelerated AI inference\, distributed cloud infrastructure\, and cloud-native tooling powering fraud and AI infrastructure\, and financial AI models. Get a look inside their reference architecture and how cloud-native technologies are becoming critical infrastructure for AI at scale with sovereignty.\n\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:9954dc5f90ebfd6bfad81a3f761fe8b0
URL:http://kccncind2026.sched.com/event/9954dc5f90ebfd6bfad81a3f761fe8b0
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T053500Z
DTEND:20260618T053800Z
SUMMARY:Keynote: Cloud Native at Bharat Scale\, How Rapido Scaled to 7+ Million Rides - Srivatsa Katta\, CTO & Adarsh K Kumar\, Principal Product Engineer\, Rapido
DESCRIPTION:India moves on Rapido. The country's largest taxi platform serves over 4 million rides daily\, matching riders to drivers in real time across 150+ microservices at 200K requests per second.\n\nNone of this would exist without the CNCF ecosystem. In this keynote\, we walk through how Kubernetes\, Istio\, Prometheus\, Thanos\, Cert Manager\, and External DNS work together to power a platform where every second of latency means a rider waiting in the heat.\n\nThis is the story of what cloud native makes possible when the stakes involve millions of livelihoods\, not just uptime metrics.\n\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:6ecd0b8e5fa747cffad233043a79360e
URL:http://kccncind2026.sched.com/event/6ecd0b8e5fa747cffad233043a79360e
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T054000Z
DTEND:20260618T054300Z
SUMMARY:Keynote: How JioHotstar Streams Cricket to 72 Million Fans in Real Time with Kubernetes and OpenTelemetry - Pradeep Bishnoi\, Senior Director of Engineering\, JioStar
DESCRIPTION:When tens of millions of fans tune in for live cricket\, every millisecond matters. In this keynote\, engineers from JioHotstar will take audiences behind the scenes of one of the world’s largest streaming platforms across globally distributed\, cloud-native infrastructure.\n\nThe session will explore how JioHotstar uses Kubernetes\, Amazon EKS\, OpenTelemetry\, Karpenter\, Envoy Gateway\, and other CNCF technologies to scale to 50–60 million concurrent users during live sporting events while maintaining reliability\, observability\, and performance at massive scale. Attendees will see how nearly all core services from personalization and payments to subscriptions and content delivery run in a highly containerized environment spanning dozens of clusters across multiple continents.\n\nThe keynote will also preview JioHotstar's next phase of AI-driven operations\, including conversational Kubernetes troubleshooting\, intelligent SRE automation\, and AI-powered user experiences. Through real-world architecture diagrams and live-event scale insights\, this session highlights how cloud native infrastructure keeps digital entertainment moving for millions every match day.
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:b5554331c533b2cfcfeafe25505efbd0
URL:http://kccncind2026.sched.com/event/b5554331c533b2cfcfeafe25505efbd0
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T054500Z
DTEND:20260618T060000Z
SUMMARY:Keynote: Closing Remarks
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:3f2011543cbe6ed73c976984c8e462cc
URL:http://kccncind2026.sched.com/event/3f2011543cbe6ed73c976984c8e462cc
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T060000Z
DTEND:20260618T063000Z
SUMMARY:Coffee Break ☕
DESCRIPTION:\nSliced fresh Fruits (VE\, GF)\nWatermelon\, grapes\, kiwi\, dragon fruit\, papaya\n\nKanda Poha with mint chutney (VE\, GF)\nFlattered rice cooked with onions\, turmeric\, and curry leaves\n(Contains Mustard)\n\nIdli with coconut chutney (VE\, GF)\nSteamed rice cakes served with traditional coconut dip\n(Contains Mustard)\n\nLentil curry sambar with drumsticks (VE\, GF)\n(Contains Mustard)\n\nBerry Danish (No Nuts)\n(Contains Milk\, Wheat)\n\nBadam halwa \n(Contains Milk\, Wheat\, Nuts (Pistachio\, Almond))\n\n\n
CATEGORIES:BREAKS
LOCATION:Jasmine 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:f39c868d61990b72fbece538a8e2e8a6
URL:http://kccncind2026.sched.com/event/f39c868d61990b72fbece538a8e2e8a6
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T060000Z
DTEND:20260618T093000Z
SUMMARY:Project Pavilion
DESCRIPTION:The following projects will be available in the Project Pavilion 11:30-3:00p today! \n\nLooking for a certain project? Review the directory.\n\nT-1:&nbsp\;Cloud Native Community Groups & Kubernetes Community Days\nT-2: Technical Community Group: MergeForward\nT-3: Vitess\nT-4: KubeArmor\nT-5: KubeVela\nT-6: k0s\nT-7: etcd\nT-8: OpenChoreo\nT-9: ovn-kubernetes\nT-10: PipeCD\nT-11: Kyverno\nT-12: Harbor\nT-13: krkn\nT-14: CNCF Project Team\n\n
CATEGORIES:PROJECT OPPORTUNITIES
LOCATION:Jasmine 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:c5ba0cf8edac136fcb8e54c2a6dd9c66
URL:http://kccncind2026.sched.com/event/c5ba0cf8edac136fcb8e54c2a6dd9c66
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T060000Z
DTEND:20260618T140000Z
SUMMARY:Solutions Showcase
DESCRIPTION:Visit our sponsors in the Solutions Showcase to try the latest demos\, watch live presentations\, talk to experts\, check out job opportunities\, and score some swag.In order to facilitate networking and business relationships at the event\, you may choose to visit a third party’s booth or to access sponsored content. You are never required to visit third-party booths or to access sponsored content. When visiting a booth or participating in sponsored activities\, the third party will receive some of your registration data. This data includes your first name\, last name\, title\, company\, address\, email\, standard demographics questions (i.e. job function\, industry)\, and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content\, you are explicitly consenting to receipt and use of such data by the third-party recipients\, which will be subject to their own privacy policies.
CATEGORIES:SOLUTIONS SHOWCASE
LOCATION:Jasmine 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:69ae1c7ed39cfda07d5c4a71cfcf67ca
URL:http://kccncind2026.sched.com/event/69ae1c7ed39cfda07d5c4a71cfcf67ca
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T061500Z
DTEND:20260618T073000Z
SUMMARY:Peer Group Mentoring
DESCRIPTION:Peer Group Mentoring allows participants to meet with experienced open source veterans across many CNCF projects. Mentees are paired with 2 – 10 other people in a pod-like setting to explore technical\, community\, career\, and certification questions together.\nIf you're interested in attending as a Mentee\, seats are only guaranteed to those on the sign up sheet.\n\nIf you're interested in being a Mentor\, please sign up by May 25. \n\nCheck-in: 11:30 AM - 11:40 AM\nSession: 11:45 AM - 1:00 PM
CATEGORIES:EXPERIENCES
LOCATION:206 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:01e2838e64e22097abf520b613db98ba
URL:http://kccncind2026.sched.com/event/01e2838e64e22097abf520b613db98ba
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T061500Z
DTEND:20260618T063000Z
SUMMARY:Learning Lounge: Learn to Protect Your Software from Supply Chain Attack - Ram Iyengar\, Cloud Foundry Foundation
DESCRIPTION:Tip Talk
CATEGORIES:SOLUTIONS SHOWCASE
LOCATION:Jasmine 1 (Level 3) | Booth G3\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:8311f40e5aa762a59698e8d92092c213
URL:http://kccncind2026.sched.com/event/8311f40e5aa762a59698e8d92092c213
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T063000Z
DTEND:20260618T070000Z
SUMMARY:KubeEdge DeepDive: Extending Kubernetes To the Edge With Real-World Industry Use Case - Ronak Raj\, Independent
DESCRIPTION:Following its graduation within the CNCF\, KubeEdge has solidified its position as the premier platform for extending Kubernetes to the edge. In this session\, project maintainers will explore KubeEdge's evolution\, offering a deep dive into the core architecture that enables efficient management of edge workloads. \n \n Attendees will gain insights from real-world deployments across diverse sectors\, including Smart Cities\, Industrial IoT (IIoT)\, Edge AI\, Robotics\, and Retail. Beyond success stories\, the talk will cover critical technical updates\, including the newly introduced Certified KubeEdge conformance test\, recent technological advancements\, and the latest updates on community governance.
CATEGORIES:MAINTAINER TRACK
LOCATION:204 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:4bcc0afcf501be569ff8ad4043c5c209
URL:http://kccncind2026.sched.com/event/4bcc0afcf501be569ff8ad4043c5c209
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T063000Z
DTEND:20260618T070000Z
SUMMARY:What Did My Agent Do? Observability and Accountability for AI Agents - Ishan Jain\, Grafana Labs
DESCRIPTION:Generative AI systems and AI agents behave very differently from traditional software. Their non-deterministic nature and ability to act across multiple steps make debugging and accountability harder\, which increases the need for better observability. Beyond latency and error rates\, teams need insight into prompts\, responses\, and agent actions to understand what an agent did and why. In this session\, I will show how to instrument AI agents using OpenTelemetry and the GenAI Semantic Conventions\, with OpenLIT as the native SDK. Through a live demo\, I will demonstrate how to capture agent interactions alongside performance telemetry using Prometheus and Jaeger\, while keeping sensitive data separate to reduce risk and cost. I will also show how telemetry can support ongoing evaluations\, helping teams reason about agent behavior over time without logging everything. This talk is for engineers building AI agents who want to improve trust and accountability without oversharing data.
CATEGORIES:OBSERVABILITY
LOCATION:Lotus 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:3d158d5dfdfdc21563b8f8de867ef94d
URL:http://kccncind2026.sched.com/event/3d158d5dfdfdc21563b8f8de867ef94d
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T063000Z
DTEND:20260618T063500Z
SUMMARY:Project Lightning Talk: Opening/Intro - Sagar Utekar\, CNCF Ambassador
DESCRIPTION:\n
CATEGORIES:PROJECT OPPORTUNITIES
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:9d69b1cd89aed03b95dfe606d47f8652
URL:http://kccncind2026.sched.com/event/9d69b1cd89aed03b95dfe606d47f8652
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T063000Z
DTEND:20260618T070000Z
SUMMARY:Commit-Then-Disclose: Cryptographic SBOM Auditing Without IP Leakage - Sharvil Bhatt\, Reliance Industries limited & Swastik Gour\, Improving
DESCRIPTION:SBOM regulations (NTIA\, EU CRA\,CISA) create conflicting requirements: auditors demand transparency while vendors require confidentiality. We present a two-layer Merkle commitment architecture separating public change detection from private component disclosure. Layer 1 builds standard Merkle trees producing public roots for tamper detection—anyone monitors changes without seeing components. Layer 2 commits internal hashes with 256-bit random nonces\, yielding private commitment roots shared only with auditors for cryptographic hiding. Selective disclosure reveals only changed components via decommitment tuples with O(log n) proofs. Auditors verify commitments reconstruct to trusted roots. Re-randomization refreshes nonces without altering data. Tested: 100 auditors\, 100K components\, 50K proofs\, zero false accepts. Performance: 2.6M disclosures/second\, 0.01ms proof generation\, 625-byte paths. Policy-based filtering achieves 72% disclosure reduction.
CATEGORIES:SECURITY
LOCATION:205 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:7cf2dad2a69381d6ad5c10d72d012a79
URL:http://kccncind2026.sched.com/event/7cf2dad2a69381d6ad5c10d72d012a79
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T063700Z
DTEND:20260618T064200Z
SUMMARY:Project Lightning Talk: Harbor Project Update: Gitless GitOps\, Satellite at the Edge - Prasanth Baskar\, Community Lead
DESCRIPTION:
CATEGORIES:PROJECT OPPORTUNITIES
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:40af15c0566b4c6325fc86eb774586df
URL:http://kccncind2026.sched.com/event/40af15c0566b4c6325fc86eb774586df
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T064400Z
DTEND:20260618T064900Z
SUMMARY:Project Lightning Talk: The Kyverno Five! Policy Types for the Full Resource Lifecycle - Neha Jaju\, Maintainer
DESCRIPTION:\n
CATEGORIES:PROJECT OPPORTUNITIES
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:3cdf214e227886cfe1c7d02e763c86ea
URL:http://kccncind2026.sched.com/event/3cdf214e227886cfe1c7d02e763c86ea
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T065100Z
DTEND:20260618T065600Z
SUMMARY:Project Lightning Talk: GitOps Without Boundaries: Deploy to Infrastructure and Workloads with PipeCD! - Eeshaan Shreyas Sawant\, Maintainer
DESCRIPTION:\n
CATEGORIES:PROJECT OPPORTUNITIES
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:db4b5ee1de9002cae5384393a6ab8730
URL:http://kccncind2026.sched.com/event/db4b5ee1de9002cae5384393a6ab8730
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T065800Z
DTEND:20260618T070300Z
SUMMARY:Project Lightning Talk: Container Builds at Scale with Buildpacks - Vidhi Shah\, Maintainer
DESCRIPTION:
CATEGORIES:PROJECT OPPORTUNITIES
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:806541a6a0acac13db0feb523a14275e
URL:http://kccncind2026.sched.com/event/806541a6a0acac13db0feb523a14275e
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T070500Z
DTEND:20260618T071000Z
SUMMARY:Project Lightning Talk: Argo CD at Scale: 5 Features You Should Not Miss! - Nitish Kumar\, Maintainer
DESCRIPTION:
CATEGORIES:PROJECT OPPORTUNITIES
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:90f80ae8f631ced40e6c15893b49e8b2
URL:http://kccncind2026.sched.com/event/90f80ae8f631ced40e6c15893b49e8b2
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T071000Z
DTEND:20260618T074000Z
SUMMARY:Beyond VLLM: Distributed LLM Inferencing With Llm-d on Kubernetes - Ravindra Patil\, Red Hat
DESCRIPTION:As (LLMs) continue to grow in size and demand\, single-node inferencing quickly becomes a bottleneck for performance\, scalability\, and cost. While vLLM has become popular for efficient LLM serving on a single node\, it does not fully address the challenges of distributed inferencing across multiple GPUs and nodes in Kubernetes environments. This talk introduces llm-d\, a emerging cloud-native project designed to enable distributed LLM inferencing on Kubernetes. We will cover why vLLM gained popularity and the limitations when scaling beyond a single node. We will explore how llm-d goes a step further by enabling multi-node\, multi-GPU inferencing with cloud-native primitives. Attendees will learn how llm-d fits into modern Kubernetes platforms\, how it improves scalability and resource utilization. The session focuses on practical architecture\, design trade-offs\, and real-world use cases rather than theory with a demo on how llm-d distributes load.
CATEGORIES:AI + ML
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:266eb642c05394e4d11fe561c8f5db6c
URL:http://kccncind2026.sched.com/event/266eb642c05394e4d11fe561c8f5db6c
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T071000Z
DTEND:20260618T074000Z
SUMMARY:Re-Architecting Monoliths Into Kubernetes Microservices at Million-User Scale: Hard Lessons - Aditya Sharma\, Lumenore
DESCRIPTION:Legacy platforms often begin as tightly coupled monoliths running on virtual machines. While workable at small scale\, this model breaks down under real production traffic\, operational growth\, and security demands. This talk presents a real-world case study of re-architecting a BI and AI analytics platform from a VM-based monolith into Kubernetes-native microservices serving millions of users. It covers a 13 years journey from on-prem bare metal and vertical scaling failures to containerization and a production-grade Kubernetes platform across cloud and on-prem environments. The session focuses on practical challenges such as resource contention\, downtime-driven scaling\, observability gaps\, security audit failures\, configuration drift\, and manual operations\, and explains how these drove decisions around service decomposition\, GitOps\, defense-in-depth security\, and service mesh adoption.
CATEGORIES:CLOUD NATIVE EXPERIENCE
LOCATION:Lotus 3 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:01673889806b8b6a676c590a058f92ed
URL:http://kccncind2026.sched.com/event/01673889806b8b6a676c590a058f92ed
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T071000Z
DTEND:20260618T074000Z
SUMMARY:In-toto Attestations for What Really Happens in Your Build Pipeline\, With Witness - Vyom Yadav\, Canonical & Rahul Vishwakarma\, Highlevel
DESCRIPTION:State-sponsored supply chain attacks\, like the Shai Hulud worm\, highlight the urgent need for automated\, cryptographically verifiable attestations generated at the moment the supply chain executes\, capturing execution details that directly improve the accuracy of secure SDLC documents like SBOMs. \n \n Witness\, an in-toto subproject\, is one such tool that records various aspects of a system during supply chain execution. Unlike static lock files generated by toolchains\, which often miss components and lack cryptographically verifiable metadata\, Witness captures a complete and verifiable picture of what was actually executed. New observability features now enable Witness to enrich SBOMs with accurate\, runtime-derived data\, while also establishing a network baseline for supply chain execution.
CATEGORIES:MAINTAINER TRACK
LOCATION:204 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:47b8454782e0e777672e531185da8b18
URL:http://kccncind2026.sched.com/event/47b8454782e0e777672e531185da8b18
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T071000Z
DTEND:20260618T074000Z
SUMMARY:When Kafka Goes Cloud Native: Observability That Actually Works! - Roopadharsini K & Mary Vinothini\, Fidelity Investments
DESCRIPTION:In the fast-paced world of cloud-native infrastructure\, monitoring Kubernetes Kafka clusters shouldn’t feel like a puzzle or a last-minute audit surprise. In financial organisations\, Kafka on Kubernetes powers critical needs\, from regulatory compliance to real-time client updates. But legacy monitoring couldn’t keep up\, and relying on sleep-deprived SREs wasn’t an option. We overcame this challenge by building custom dashboards in a unified observability platform using OpenTelemetry for vendor-agnostic collection\, deployed natively on Kubernetes\, and integrating Grafana and OpenSearch for real-time visibility and faster troubleshooting. Attendees will learn how to meet compliance needs\, speed up incident response\, and design reliable Kafka observability at enterprise scale and also walk away with a practical blueprint for modernizing monitoring and adopting open-source practices in Kubernetes.
CATEGORIES:OBSERVABILITY
LOCATION:Lotus 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:2141f9445373e295807cc3ff5ade5e93
URL:http://kccncind2026.sched.com/event/2141f9445373e295807cc3ff5ade5e93
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T071000Z
DTEND:20260618T074000Z
SUMMARY:Root Without Risk: A Decade-Long Quest for True Container Isolation - Sumir Broota\, Broota Enterprise
DESCRIPTION:Kubernetes has long struggled with safe container isolation where `root` in a pod meant `root` on the node. This session shows how KEP‑127 and user namespaces finally make root inside a container harmless. Real scenario: Your container needs CAP_SYS_ADMIN for FUSE mounts. An exploit succeeds. Without user namespaces: attacker = root on node\, full cluster access. With user namespaces: attacker = UID 65536 - relatively powerless. This talk chronicles the 9+ year journey mapping your pods "root" to an unprivileged nobody on the host. Why it took 9 years: - Early attempts (2016) failed-no kernel support - v1.25-1.28: Three alpha rewrites - v1.27: idmap mounts breakthrough - v1.30: off-by-default Beta after CRI overhauls - v1.33: Default beta-production-ready - v1.34: Observability (metrics added) What you'll learn: ✓ Live code walkthrough: kubelet → CRI → runc UID remapping ✓ Demos: container breakout attempts CVE-2024-21626 AKA Leaky Vessel patched ✓ Practical deployment patterns
CATEGORIES:SECURITY
LOCATION:205 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:603240a4cacca0b0daf7f5eca8122aa4
URL:http://kccncind2026.sched.com/event/603240a4cacca0b0daf7f5eca8122aa4
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T071200Z
DTEND:20260618T071700Z
SUMMARY:Project Lightning Talk: Vitess in Production: Powering Applications at Massive Scale - Harshit Gangal\, Maintainer
DESCRIPTION:
CATEGORIES:PROJECT OPPORTUNITIES
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:b89d5103d6e3c71574eea84099b0c296
URL:http://kccncind2026.sched.com/event/b89d5103d6e3c71574eea84099b0c296
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T071900Z
DTEND:20260618T072400Z
SUMMARY:Project Lightning Talk: ModelPack: Bringing the OCI Standard to AI/ML - Andrew Block\, Maintainer
DESCRIPTION:\n
CATEGORIES:PROJECT OPPORTUNITIES
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:290494f86e3b8779cbdc149c02c4039b
URL:http://kccncind2026.sched.com/event/290494f86e3b8779cbdc149c02c4039b
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T072600Z
DTEND:20260618T072800Z
SUMMARY:Project Lightning Talk: Closing - Sagar Utekar\, CNCF Ambassador
DESCRIPTION:\n
CATEGORIES:PROJECT OPPORTUNITIES
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:ced943ee92db3ffc80ff06172e2d446d
URL:http://kccncind2026.sched.com/event/ced943ee92db3ffc80ff06172e2d446d
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T074000Z
DTEND:20260618T090000Z
SUMMARY:Lunch 🍛
DESCRIPTION:Salads\nZattar-spiced Fattoush\nCrisp iceberg\, tomato\, cucumber\, marinated olives\, lemon dressing\, pita cracknels\n(Contains Wheat\, Milk\, Sesame)\n\nPineapple Sundal\, sliced red onions\, tomatoes\, sweet & sour dressing (VE)\n(Contains Celery)\n \nTomato and marinated buffalo mozzarella with pesto \n(Contains Milk\, Nut (Pine nut))\n\nDahi Bhalla (GF)\n(Contains Milk)\n\nMain Course\nMalabar fish curry with chili\, tamarind\, and coconut milk \n(Contains Fish\, Mustard\, Milk\, Sulphite)\n\nPaneer butter masala (GF)\nCottage cheese cooked with rich tomato gravy with Indian spices\n(Contains Milk\, Nut (Cashew))\n \nMoong masoor ki dal (VE\, GF)\nYellow and red lentils tempered with garlic and cumin\n\nSteamed fragrant basmati rice (VE\, GF)\n\nKung pao chicken \nSzechuan-style diced chicken with cashew nuts\, peppers\, red onion and dry red chilli\n(Contains Soy\, Wheat\, Celery\, Egg\, Fish\, Mollusc\, Nut (Cashew))\n\nWok-fried vegetables (VE\, GF)\n Stir-fried with gluten-free soy\, scallions and roasted garlic\n(Contains Celery)\n\nGarlic noodles (VE)\nSpicy noodles tossed with garlic\, onions\, peppers \n(Contains Wheat\, Soy\, Celery)\n\nAccompaniments\nAssorted Indian bread \n(Contains Wheat\, Milk)\n\nAnar Raita (GF)\n(Contains Milk)\n\nPapad\, pickle and chutney (GF)\n(Contains Mustard\, Milk)\n\n Dessert \nBurnt espresso tiramisu bowls \n(Contains Milk\, Wheat\, Soy)\n \nThe New Black Forest\, Cherry confit (Sugar-free) \n(Contains Wheat\, Milk\, Soy)\n \nKesari Rasmalai \n(Contains Milk\, Wheat\, Nuts (Pistachio\, Almond))\n \nSeviyan Payasam \n(Contains Milk\, Wheat\, Nuts (Pistachio\, Almond))
CATEGORIES:BREAKS
LOCATION:Jasmine 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:495bbe3094ce8cdde9beedc568e0c0f9
URL:http://kccncind2026.sched.com/event/495bbe3094ce8cdde9beedc568e0c0f9
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T080000Z
DTEND:20260618T083000Z
SUMMARY:Gold Sponsor In-Booth Demos
DESCRIPTION:Sponsor: Clickhouse\nDemo: DemoHouse & ClickStack\nBooth Number: G10\n\nSponsor: Intuit\nBooth Number: G11\n\nIn order to facilitate networking and business relationships at the event\, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities\, the third party will receive some of your registration data. This data includes your first name\, last name\, title\, company\, address\, email\, standard demographics questions (i.e. job function\, industry)\, and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content\, you are explicitly consenting to receipt and use of such data by the third-party recipients\, which will be subject to their own privacy policies.
CATEGORIES:SPONSORED DEMOS
LOCATION:Jasmine 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:37aab3b5e223baccd761d7f45a70555c
URL:http://kccncind2026.sched.com/event/37aab3b5e223baccd761d7f45a70555c
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T084500Z
DTEND:20260618T093000Z
SUMMARY:The Ultimate Kubestronaut Trivia Challenge! Hosted by Fazlur Rahman Khan
DESCRIPTION:Description:&nbsp\;Are you ready to put your stellar Kubernetes expertise to the test? Welcome to the exclusive Kubestronaut Trivia Challenge at KubeCon India! This isn't just any quiz\; it’s a high-energy\, fast-paced technical showdown designed&nbsp\;exclusively for&nbsp\;Kubestronauts.\nExpect questions that will challenge your deep understanding of the CNCF ecosystem\, community lore\, and everything it takes to achieve the 5-certification status.\nIMPORTANT ACCESS REQUIREMENTS:&nbsp\;This session is strictly reserved for the Kubestronauts. To gain entry and participate\, you&nbsp\;must&nbsp\;be wearing your official&nbsp\;Kubestronaut Jacket&nbsp\;or your&nbsp\;Golden Kubestronaut Beanie.&nbsp\;\nCome to show off your knowledge\, connect with your peers\, and above all\, have an amazing time together. Let’s celebrate the community\, share some laughs\, and see who takes home the ultimate bragging rights.&nbsp\;\n\n
CATEGORIES:
LOCATION:203 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:02069bffee4dcc9203a2defb90e44322
URL:http://kccncind2026.sched.com/event/02069bffee4dcc9203a2defb90e44322
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T090000Z
DTEND:20260618T093000Z
SUMMARY:Beyond the Primary CR: The Design Choice of What and What Not To Watch in Kubernetes Operators - Guna Kambalimath & Kishen V\, IBM
DESCRIPTION:Watching resources is fundamental to how K8s Operators reconcile state of the CR which is the primary resource\, on the other hand\, there are secondary resources created and managed by the controller to support the primary resource! \n \n But does every secondary resource need to be watched? \n \n In this session\, we explore the design choices behind deciding what to watch and what not to watch considering real world examples. We'll dive into pros and cons of different approaches considering key factors - performance\, scalability\, RBAC boundaries\, robustness of the operator. We'll understand how selective watching can reduce noise and improve the controller efficiency\, By the end of the session\, attendees will know how to choose the right approach for developing smarter\, streamlined Kubernetes Operators backed by real-world use cases.
CATEGORIES:APPLICATION DEVELOPMENT
LOCATION:Lotus 3 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:47b077a060040fd473d54f5036ae86cd
URL:http://kccncind2026.sched.com/event/47b077a060040fd473d54f5036ae86cd
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T090000Z
DTEND:20260618T093000Z
SUMMARY:Introduction To Metal³ — Kubernetes-Native Bare Metal Provisioning - Sunnatillo Samadov\, Ericsson
DESCRIPTION:This talk introduces Metal³\, an open-source project that makes it easy to manage physical servers using Kubernetes. Metal³ enables teams to provision\, manage\, and recover bare metal machines in a cloud-native way\, using familiar Kubernetes workflows. We will explore what Metal³ is\, its core capabilities\, common use cases\, and how it supports recovery and day-2 operations. The session is suitable for attendees of all experience levels. Metal³ was accepted as a CNCF Incubating project by the Cloud Native Computing Foundation in August 2025
CATEGORIES:MAINTAINER TRACK
LOCATION:204 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:58bb53298d18dfce7f21de98d120b0d8
URL:http://kccncind2026.sched.com/event/58bb53298d18dfce7f21de98d120b0d8
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T090000Z
DTEND:20260618T093000Z
SUMMARY:Who Watches the Watchers? From Closed Observability To Open Control at Scale - Aditi Gupta\, JioHotstar; Madhu Patel\, Adobe; Sandeep Kanabar\, Gen
DESCRIPTION:Observability is your safety net - but at scale\, it often fails first. As our Kubernetes platform grew\, rising traffic produced more telemetry\, overwhelming our stack and leaving us blind during incidents. High-cardinality metrics exhausted memory\, and ingestion brownouts became recurring nightmares. We didn't have too much data\; we had too little control. \n In this talk\, we dissect the concrete failure modes and show how we rebuilt observability by treating telemetry pipelines as first-class distributed systems with OpenTelemetry\, Prometheus\, Loki\, and Tempo. \n \n We will walk through production fixes: \n \n - Active Traffic Shaping: OTel Collectors for batching and tail sampling. \n - Defusing Cardinality Bombs: Prometheus recording rules to stabilise memory. \n - Back pressure & Limits: Surviving 10x traffic spikes. \n \n This isn't a tool comparison. It's a blueprint for building observability you can reason about under stress\, so your monitoring doesn't become the “next outage” you're explaining.
CATEGORIES:OBSERVABILITY
LOCATION:Lotus 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:d664b03e924280ce95de0d66a42fe2fd
URL:http://kccncind2026.sched.com/event/d664b03e924280ce95de0d66a42fe2fd
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T090000Z
DTEND:20260618T093000Z
SUMMARY:Kubernetes Plane Aerodynamics: Breaking the Architectural Sound Barrier - Vasu Chandrasekhara\, NeoNephos & Stefan Schimanski\, NVIDIA
DESCRIPTION:We first trace the evolution of the "aerodynamics" of the K8s data\, control\, and work planes. As we dissect the architectural building blocks and controller archetypes of K8s\, we discover the kubelet controller pattern as an universal design principle\, with which we easily explain the unfolding of K8s Inception with Hosted Control Planes (HCP)\, where any control plane becomes a recursive workload in K8s itself. \n \n Armed with these concepts we come to the ultimate\, supersonic plane: KCP\, the pure data and API plane. \n Learn how to mentally decouple K8s from its underlying infrastructure and move toward a truly scalable\, declarative API-first future. The next evolution in cloud-native. With KCP\, and by treating KRM as a universal interface\, we will show how you can benefit from the same pattern used to manage a single pod\, to engineer global-scale platforms. \n \n At each architecture evolution step\, we accompany a demo and use case: from single clusters\, vClusters\, clusters with HCP\, and KCP.
CATEGORIES:PLATFORM ENGINEERING
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:c0a071987fb4329179df49e3b5d1de67
URL:http://kccncind2026.sched.com/event/c0a071987fb4329179df49e3b5d1de67
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T090000Z
DTEND:20260618T093000Z
SUMMARY:Unity in Diversity: Architecting “Shared-First” Kubernetes Platforms for Life-Critical Workloads - Manoj K R\, Siddiq Tanveer M A\, Rishi Nikhilesh Damerla\, & Geethika Chappidi\, Motorola Solutions
DESCRIPTION:In life-critical systems such as 911 dispatch\, emergency call handling\, and public safety platforms\, the traditional “one cluster per application” model creates operational silos that limit resilience\, scalability\, and cost efficiency. This session describes how we challenged that model by building a Shared First Kubernetes platform that allows many sensitive services to coexist without compromising isolation or availability \n We operate 25+ production Kubernetes clusters across multiple clouds. Each shared cluster runs 50–60 independent products and supports 2\,000–4\,000 microservices processing real-time emergency workloads where downtime can impact human lives. \n The talk covers zero-touch workload isolation using a custom Kubernetes Admission Controller\, per-tenant NGINX Ingress Controllers\, automated DNS and certificate management and safe upgrade practices. We conclude by showing 50–60% infrastructure cost savings while improving reliability for mission-critical public safety systems.
CATEGORIES:PLATFORM ENGINEERING
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:0559ab21d48c841eb2aa8be75df2a718
URL:http://kccncind2026.sched.com/event/0559ab21d48c841eb2aa8be75df2a718
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T090000Z
DTEND:20260618T110000Z
SUMMARY:Maintainer Meet-Up
DESCRIPTION:The Maintainer Meet-Up is for CNCF Maintainers to share best practices\, dive into contributing processes\, and solve common problems across projects.
CATEGORIES:PROJECT OPPORTUNITIES
LOCATION:206 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:06333f0c545fdabb4ca8a1d14299875a
URL:http://kccncind2026.sched.com/event/06333f0c545fdabb4ca8a1d14299875a
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T090000Z
DTEND:20260618T092000Z
SUMMARY:Sponsored Demo: Scaling EdTech at Hyperspeed: How PhysicsWallah Reduced Kubernetes Costs Without Slowing Down - Avinash Gupta\, Physicswallah & Gaurang Singh\, Cast AI
DESCRIPTION:PhysicsWallah serves 10 million learners across India\, running live classes 24/7 on Amazon EKS. As the platform scaled\, Karpenter hit its limits. Spot interruptions were hard to handle gracefully\, manual rightsizing consumed SRE bandwidth\, and nodes were chronically over-provisioned for traffic spikes that came and went unpredictably.\nIn this talk\, Avinash (Engineering Lead\, PW) and Gaurang Singh (Field CTO APAC\, CAST AI) walk through how PW adopted CAST AI to automate Kubernetes cost optimization without risking a single live class. Starting with a read-only POC\, the team validated 48.67% cost savings before touching production. They then rolled out workload rightsizing (WOOP) and node autoscaling incrementally\, cutting CPU requests by 35% in production.\nThe session covers the adoption playbook\, lessons on configuring Pod Disruption Budgets before enabling rightsizing\, and why multi-family spot pools outperform manual over-provisioning for spiky edtech workloads.\n\n**In order to facilitate networking and business relationships at the event\, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities\, the third party will receive some of your registration data. This data includes your first name\, last name\, title\, company\, address\, email\, standard demographics questions (i.e. job function\, industry)\, and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content\, you are explicitly consenting to receipt and use of such data by the third-party recipients\, which will be subject to their own privacy policies.**
CATEGORIES:SPONSORED DEMOS
LOCATION:205 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:78aa45797407e10e52c328972a8c51de
URL:http://kccncind2026.sched.com/event/78aa45797407e10e52c328972a8c51de
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T093000Z
DTEND:20260618T140000Z
SUMMARY:Project Pavilion
DESCRIPTION:The following projects will be available in the Project Pavilion 3:30-7:30p today! \n\nLooking for a certain project? Review the directory.\n\nT-1:&nbsp\;Cloud Native Community Groups & Kubernetes Community Days\nT-2: Technical Community Group: MergeForward\nT-3: Rook\nT-4: Buildpacks\nT-5: Keycloak\nT-6: KServe\nT-7: Kubeflow\nT-8: Tekton\nT-9: Submariner\nT-10: Hami\nT-11: Kyverno\nT-12: Harbor\nT-13: krkn\nT-14: CNCF Project Team\n\n
CATEGORIES:PROJECT OPPORTUNITIES
LOCATION:Jasmine 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:dba1127eb751227b0f124b3b1d12ad6c
URL:http://kccncind2026.sched.com/event/dba1127eb751227b0f124b3b1d12ad6c
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T093000Z
DTEND:20260618T094500Z
SUMMARY:Learning Lounge: Certify Your Curiosity: How to Keep Learning in the Cloud Native World - Fazlur Rahman Khan\, Linux Foundation Education
DESCRIPTION:Tip Talk
CATEGORIES:SOLUTIONS SHOWCASE
LOCATION:Jasmine 1 (Level 3) | Booth G3\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:154fe3ae8e6a496636a3418c13c205aa
URL:http://kccncind2026.sched.com/event/154fe3ae8e6a496636a3418c13c205aa
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T093000Z
DTEND:20260618T095000Z
SUMMARY:Sponsored Demo: From Local App to Cluster in Minutes with Headlamp and OSS - Sanket Bakshi\, Microsoft
DESCRIPTION:Getting an existing app onto Kubernetes often breaks down at the last mile: writing Dockerfiles\, generating manifests\, and figuring out how everything fits together across environments.\n \nThis demo shows a working path from a developer laptop to a production cluster using open-source tools. We start in VS Code with the Containerization Assist MCP server\, which generates Dockerfiles and Kubernetes manifests and iterates based on real build feedback. Then we move into Headlamp\, the CNCF Kubernetes UI\, to inspect a local cluster\, validate the deployment\, and promote the same workload to AKS without switching tools.\n \nYou’ll see a single flow from local app to local cluster to AKS in minutes\, how containerization artifacts get created and refined\, and how Headlamp provides a consistent view across environments. The focus is on a practical\, repeatable path that stays aligned with open-source tooling while working seamlessly with managed Kubernetes.\n\n**In order to facilitate networking and business relationships at the event\, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities\, the third party will receive some of your registration data. This data includes your first name\, last name\, title\, company\, address\, email\, standard demographics questions (i.e. job function\, industry)\, and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content\, you are explicitly consenting to receipt and use of such data by the third-party recipients\, which will be subject to their own privacy policies.**\n
CATEGORIES:SPONSORED DEMOS
LOCATION:205 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:003073a4f2597bf676c213fc96d1c121
URL:http://kccncind2026.sched.com/event/003073a4f2597bf676c213fc96d1c121
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T094000Z
DTEND:20260618T101000Z
SUMMARY:Building and Orchestrating Real Production-ready Agentic AI Systems - Kevin Dubois & Daniel Oh\, IBM
DESCRIPTION:Developing AI applications today isn’t just about experimental single-model interactions. Organizations are rapidly adopting AI and to do that\, the requirements for enterprise software become increasingly more complex. Advanced Agentic AI systems address this need\, where multiple specialized agents work together\, each capable of independent reasoning. \n \n The real challenge for architects lies in orchestrating these agents to collaborate effectively towards a common goal. Unfortunately though\, a "one-size-fits-all" approach to coordination just doesn't work due to the complex nature of software. In addition\, just like traditional apps\, these agentic systems need to be deployed\, managed and observed in cloud environments. \n \n In this session we'll explore the spectrum of Agentic AI patterns\; real world implementations with Java\; how to deploy these Agentic Systems to Kubernetes\, and what other considerations there are to get these applications running in production. \n \n
CATEGORIES:APPLICATION DEVELOPMENT
LOCATION:Lotus 3 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:974ce11e596834b4f098afe97901ec3e
URL:http://kccncind2026.sched.com/event/974ce11e596834b4f098afe97901ec3e
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T094000Z
DTEND:20260618T101000Z
SUMMARY:The Lean Observability Stack: Quick and Native Telemetry for Service Mesh - Arpitha Srivathsa Malavalli\, Google
DESCRIPTION:When timelines are tight or infrastructure is isolated\, setting up complex observability suites can be a bottleneck. However\, a service mesh like Istio\, backed by Envoy\, already provides a goldmine of data. Drawing from experience in restricted\, air-gapped environments\, we demonstrate how to turn Envoy and Istio into primary telemetry sources to build a reliable pipeline using Prometheus\, Grafana\, and OpenTelemetry (OTel). We will break down essential Istio and Envoy metrics—such as request totals\, bytes\, and duration—and demystify their rich labels. Attendees will learn to leverage these metrics for "Golden Signal" dashboards\, SLOs\, and meaningful alerts\, without manual per-service configuration. We also cover setting up OTel-based pipelines for Envoy access logs. Finally\, we address "day 2" operations: using Prometheus relabeling to reduce cardinality\, managing log verbosity via the Istio Telemetry API\, and determining when to use synthetic probers over standard metrics.
CATEGORIES:OBSERVABILITY
LOCATION:Lotus 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:e6da29629f88361a08f8bf33d85e3b5d
URL:http://kccncind2026.sched.com/event/e6da29629f88361a08f8bf33d85e3b5d
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T094000Z
DTEND:20260618T101000Z
SUMMARY:Rab Ne Bana Di Jodi - Why Platforms & AI Need Each Other - Atulpriya Sharma\, Improving
DESCRIPTION:A match made in heaven\, or one hell of a couple? Platform teams spent 2 years perfecting golden paths for cloud-native infrastructure. 5 engineers managing 100 services. \n \n Last week\, a new AI agent generated the same config in 30 seconds. This week they're managing 5 LLM models across 200 services. The future seems one-sided. This couple needs counselling. \n \n This is escalating abstraction: Platforms reduce k8s chaos. AI automates those paths at breakneck speed. But AI-generated configs violate platform policies. Platforms enforce governance via admission controllers. Governance needs observability. Observability reveals the gap: no model lifecycle management\, no agent audit trails\, no cost control APIs. \n \n This talk traces real interdependencies: deprecating models\, managing sprawl\, isolating agents\, controlling budgets. You'll learn what exists - CNCF AI Conformance\, tools\, working groups & the critical gaps. \n \n Right now\, there's no greater agony than rationalising AI without platforms.
CATEGORIES:PLATFORM ENGINEERING
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:4697e6eed559b980fe6e6d2c46051edb
URL:http://kccncind2026.sched.com/event/4697e6eed559b980fe6e6d2c46051edb
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T094000Z
DTEND:20260618T101000Z
SUMMARY:Zero-GPU Autopilot: Orchestrating Kagent and Kgateway for Private\, Self-Healing Clusters - Ashok M\, DigitalOcean & Dillibabu Sampath\, Wells Fargo
DESCRIPTION:Modern Kubernetes environments have outpaced human operational capacity. While observability data is abundant\, the Mean Time to Remediation (MTTR) remains high due to manual intervention. This session introduces a paradigm shift: an autonomous operations model that is entirely private\, secure\, and requires zero GPUs. We demonstrate how to use Kagent\, a CNCF sandbox reasoning framework\, coupled with vLLM optimized for CPU-only inference to create a Sovereign SRE. By integrating Kgateway\, we enforce policy driven traffic management that allows the agent to safely reroute traffic\, isolate failing pods\, and execute rollbacks based on real-time health intelligence. Attendees will walk away with a blueprint for a self-healing platform that uses local\, file-based RAG to follow organizational rules without any data leaving the VPC or a single dollar spent on external AI APIs.
CATEGORIES:PLATFORM ENGINEERING
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:f80775a2996342f7c264b81895947ada
URL:http://kccncind2026.sched.com/event/f80775a2996342f7c264b81895947ada
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T100000Z
DTEND:20260618T102000Z
SUMMARY:Sponsored Demo: Cloud Native AI: Model Management with Harbor & Velero - Dhruv Tyagi\, Broadcom
DESCRIPTION:As AI scales on Kubernetes\, platform teams face a massive hurdle: managing multi-gigabyte AI models. Baking LLMs directly into container images breaks CI/CD pipelines\, bloats storage\, and couples the model lifecycle to the inference server code. \nIn this session\, discover how to bring operational maturity to AI workflows. First\, we will explore Harbor’s evolution as an AI model registry supporting the Cloud Native AI (CNAI) spec. You will see a live demo of packaging and pushing quantized models into Harbor as standard OCI artifacts\, leveraging layer deduplication and rich metadata. \n \nThen\, we will tackle Day-2 operational resilience for these deployments. We will demonstrate how to reliably back up and restore your AI namespace: including inference services\, configurations\, and model cache PVCs ensuring your workloads survive unexpected disasters. \n \nJoin us to learn a practical\, open-source blueprint for confidently distributing and protecting production AI workloads on Kubernetes.\n\n**In order to facilitate networking and business relationships at the event\, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities\, the third party will receive some of your registration data. This data includes your first name\, last name\, title\, company\, address\, email\, standard demographics questions (i.e. job function\, industry)\, and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content\, you are explicitly consenting to receipt and use of such data by the third-party recipients\, which will be subject to their own privacy policies.**\n
CATEGORIES:SPONSORED DEMOS
LOCATION:205 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:4e63f3d6502ec7a1497409a8cccf891b
URL:http://kccncind2026.sched.com/event/4e63f3d6502ec7a1497409a8cccf891b
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T101000Z
DTEND:20260618T104000Z
SUMMARY:Coffee Break ☕
DESCRIPTION:Coffee\, tea\, water\n\nCookies\n(Contains Milk\, Wheat\, Soy\, Sesame\, Nuts (Cashews\, Almonds))
CATEGORIES:BREAKS
LOCATION:Jasmine 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:9b61c701678407b9be1df4ff36f66361
URL:http://kccncind2026.sched.com/event/9b61c701678407b9be1df4ff36f66361
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T101500Z
DTEND:20260618T104500Z
SUMMARY:Gold Sponsor In-Booth Demos
DESCRIPTION:Sponsor: Neevcloud\nDemo: Dedicated Inferencing: "Reserved Compute for Real-Time Voice AI"\nBooth Number: G5\,G6\n\nSponsor: Vultr\nDemo: Agentic AI for Customer Service Runs on Vultr Cloud GPU and Kubernetes Engine\nBooth Number: G7\n\nIn order to facilitate networking and business relationships at the event\, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities\, the third party will receive some of your registration data. This data includes your first name\, last name\, title\, company\, address\, email\, standard demographics questions (i.e. job function\, industry)\, and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content\, you are explicitly consenting to receipt and use of such data by the third-party recipients\, which will be subject to their own privacy policies.
CATEGORIES:SPONSORED DEMOS
LOCATION:Jasmine 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:ea735c7b0f217ac1e337d9a4aea0e042
URL:http://kccncind2026.sched.com/event/ea735c7b0f217ac1e337d9a4aea0e042
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T103000Z
DTEND:20260618T104500Z
SUMMARY:Learning Lounge: KubeQuest: The Cloud Native Quiz Challenge - Fazlur Rahman Khan\, Linux Foundation Education
DESCRIPTION:Tip Talk
CATEGORIES:SOLUTIONS SHOWCASE
LOCATION:Jasmine 1 (Level 3) | Booth G3\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:4b698fc4fd404ad3b1ba5e9024d29c01
URL:http://kccncind2026.sched.com/event/4b698fc4fd404ad3b1ba5e9024d29c01
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T103000Z
DTEND:20260618T105000Z
SUMMARY:Sponsored Demo: The True Cost of Building at Machine Speed - Dan Lorenc\, Chainguard
DESCRIPTION:AI is fundamentally reshaping software development. Engineering teams are already shipping 10-50x more code through agentic workflows\, but the security infrastructure built for human-paced development can't scale with them. This talk examines the hidden costs and compounding risks that emerge when organizations embrace AI velocity without rethinking their software supply chain. As the attack surface expands during every sprint and exploitation timelines compress from weeks to hours\, a new class of threats is emerging: AI-powered malware targeting CI/CD pipelines\, physically impossible attack rates\, and zero-days that legacy scanning tools were never designed to catch. Drawing on real-world examples\, Dan Lorenc outlines what a secure-by-default foundation looks like in the agentic era\, where vulnerabilities are eliminated before they reach your environment.&nbsp\;\n\n**In order to facilitate networking and business relationships at the event\, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities\, the third party will receive some of your registration data. This data includes your first name\, last name\, title\, company\, address\, email\, standard demographics questions (i.e. job function\, industry)\, and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content\, you are explicitly consenting to receipt and use of such data by the third-party recipients\, which will be subject to their own privacy policies.**\n
CATEGORIES:SPONSORED DEMOS
LOCATION:205 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:745dbf4255d5645a6b3d29621b1b5e73
URL:http://kccncind2026.sched.com/event/745dbf4255d5645a6b3d29621b1b5e73
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T104000Z
DTEND:20260618T111000Z
SUMMARY:K8s Complexity Tamed: One Interface To Rule Them All With CNCF Incubating Project KubeVela - Jerrin Francis & Gowtham S\, Guidewire Software India
DESCRIPTION:Platform fragmentation is a silent productivity killer in Kubernetes. As our platform grew\, so did its complexity—forcing developers to master observability\, authentication\, cost control\, and more just to deploy a simple service. In this session\, we’ll show how we turned a fragmented ecosystem into a unified experience using KubeVela and the Open Application Model. You’ll see how we: \n \n Adopted KubeVela as a universal platform interface \n \n Developed a componentized model so developers declare needs\, not implementation \n \n Created reusable traits that auto-inject observability\, compliance\, and best practices \n \n Reduced cognitive load and boosted application quality \n \n The outcome? Developers build and ship faster\, SREs sleep better\, governance runs itself\, and teams spend less time wrestling with YAML and more time delivering value.
CATEGORIES:APPLICATION DEVELOPMENT
LOCATION:Lotus 3 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:46e17abec6b38f6c474fd9c088089c57
URL:http://kccncind2026.sched.com/event/46e17abec6b38f6c474fd9c088089c57
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T104000Z
DTEND:20260618T114000Z
SUMMARY:Getting Started with CNCF Mentorship: A Guide for Future Mentees
DESCRIPTION:Thinking about contributing to a CNCF project but not sure where to start? Mentorship is one of the most direct paths in. In this session\, Nate W. will walk through the mentorship programs the CNCF supports\, with a focus on LFX Mentorship: what it offers\, who it's for\, and how it has helped contributors grow into active community members and maintainers. You'll learn what mentorship really means in the cloud native community\, hear a few success stories from past cohorts\, and get a practical\, step-by-step look at how to find a project\, prepare a strong application\, and apply. Come with questions. Leave with a plan to take your first step.
CATEGORIES:EXPERIENCES
LOCATION:203 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:e2444933f5af8a98b06b0b94a965a1db
URL:http://kccncind2026.sched.com/event/e2444933f5af8a98b06b0b94a965a1db
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T104000Z
DTEND:20260618T111000Z
SUMMARY:Longhorn: What's New & What's Next for Cloud Native Persistent Storage - Divya Mohan\, SUSE
DESCRIPTION:Longhorn equips clusters with lightweight\, cloud native capabilities\, including incremental snapshots\, disaster recovery\, and RWX support—free from vendor dependencies. In this session\, Divya Mohan explores this year's project updates and provides structured insights into the roadmap. The session also aims to outline actionable paths for new contributors by highlighting contribution opportunities within the project.
CATEGORIES:MAINTAINER TRACK
LOCATION:204 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:65486a30c243a383c74bdd64f449d8a4
URL:http://kccncind2026.sched.com/event/65486a30c243a383c74bdd64f449d8a4
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T104000Z
DTEND:20260618T111000Z
SUMMARY:The Invisible Tax: How Data Format Conversions Drive up Telemetry Pipeline Costs - Cijo Thomas\, Microsoft
DESCRIPTION:Telemetry travels long pipelines before reaching observability backends. While enrichment\, filtering\, and sampling provide clear diagnostic value\, much of the compute cost comes from repeatedly converting telemetry between different data formats. Telemetry flows through SDK representations\, wire protocols\, collector-internal formats\, and backend ingestion schemas. Each boundary introduces marshaling\, unmarshaling\, and copying. These transformations add no new information\, yet consume CPU and memory and scale linearly with data volume—creating a hidden “transform tax” that compounds at scale. This talk presents measurements from instrumented OpenTelemetry SDK and Collector pipelines\, quantifying compute spent on pure format conversion versus value-generating processing. Attendees will learn where conversion costs arise and explore strategies to reduce waste\, including fewer representation hops\, zero-copy techniques\, and emerging approaches such as Apache Arrow-based layouts.
CATEGORIES:OBSERVABILITY
LOCATION:Lotus 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:b634b40d33df9d6346b9325bfc83f684
URL:http://kccncind2026.sched.com/event/b634b40d33df9d6346b9325bfc83f684
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T104000Z
DTEND:20260618T111000Z
SUMMARY:Kubernetes Ate the Budget: How We Made Cost a Platform Responsibility - Bhavani Indukuri & Aman Chandna\, DigitalOcean
DESCRIPTION:Kubernetes makes scaling workloads easy\, but as clusters span regions and clouds\, understanding and trusting costs becomes difficult. Limited cost transparency in platform challenges customer trust\, making cost visibility a platform responsibility with accuracy\, transparency\, and trust as first-class requirements. In this talk\, we share how we centralised our platform’s k8s cost metrics using OpenCost\, VictoriaMetrics\, and Grafana to deliver consistent\, customer-facing visibility across multi-region\, multi-cloud clusters. We will walk through the architecture\, show how raw metrics are converted into application-level cost data\, and how sharing billing-level cost data improved transparency\, trust\, with 99.9% accuracy. The session also covers production lessons\, trade-offs\, and operational challenges while scaling centralised cost visibility and customer trust across the platform.
CATEGORIES:PLATFORM ENGINEERING
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:aec34b9bc8b58beab841ad8cf030d63f
URL:http://kccncind2026.sched.com/event/aec34b9bc8b58beab841ad8cf030d63f
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T110000Z
DTEND:20260618T112000Z
SUMMARY:Sponsored Demo: Cut the Bill\, Not the Brains. AI Coding Agents That Ship More and Cost Less - Matas Kaminskas\, Cast AI
DESCRIPTION:Your AI coding bill is going to surprise you. Not because the models stopped working - because they're working too well\, and you're running everything through the most expensive ones by default.\n\nThere's a 12× per-token cost gap between frontier and OSS models. On real coding benchmarks\, the gap in output quality is almost nothing. The difference is the harness - the layer most teams never touch.\n\nThis talk is about that layer: how automatic task routing cuts spend without touching quality\, why the harness matters more than the model you pick\, and what the infrastructure underneath actually looks like (vLLM\, prefix caching\, Kubernetes-native GPU orchestration).\n\nBased on Kimchi\, the open-source coding agent we built after our own Anthropic bill went vertical. Practical\, benchmarked\, runs today.\n\n**In order to facilitate networking and business relationships at the event\, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities\, the third party will receive some of your registration data. This data includes your first name\, last name\, title\, company\, address\, email\, standard demographics questions (i.e. job function\, industry)\, and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content\, you are explicitly consenting to receipt and use of such data by the third-party recipients\, which will be subject to their own privacy policies.**
CATEGORIES:SPONSORED DEMOS
LOCATION:205 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:78b122010f6dd9b65c3c869dcc916e36
URL:http://kccncind2026.sched.com/event/78b122010f6dd9b65c3c869dcc916e36
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T112000Z
DTEND:20260618T115000Z
SUMMARY:The 900-Second Ghost: Debugging Half-Open TCP - Dhruv Jain\, Gojek (GoTo Group)
DESCRIPTION:What happens when a production incident lasts 15 minutes\, yet monitoring systems report everything as “green”? At hyperscale\, supporting on-demand services in Southeast Asia’s most populous countries\, a team encountered a silent and elusive failure mode: half-open TCP connections. In this deep-dive session\, the speaker conducts a packet-level autopsy of a real-world incident that impacted millions of messages. The talk examines the critical differences between FIN and RST packets\, demonstrating how the absence of a single 40-byte segment resulted in 900 seconds of effective downtime. Attendees will learn why relying on default Linux kernel tcp_keepalive settings is unsafe for high-availability systems. The session also explores the Zero Window phenomenon and how TCP backpressure can cause message timestamp drift. This is a story of persistence\, spanning detailed packet captures and collaboration with a major cloud provider’s networking team to fix load balancer FIN-delivery behavior.
CATEGORIES:APPLICATION DEVELOPMENT
LOCATION:Lotus 3 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:e2ce83a5e1dc97cfdff6b9f8a40dcd81
URL:http://kccncind2026.sched.com/event/e2ce83a5e1dc97cfdff6b9f8a40dcd81
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T112000Z
DTEND:20260618T115000Z
SUMMARY:No More Secrets With Keycloak's Federated Client Authentication - Rishabh Singh\, Red Hat
DESCRIPTION:Keycloak has from day one supported identity brokering\, allowing users to authenticate via an external OpenID Connect or SAML 2.0 identity provider. With its latest version\, you can use Kubernetes Service Account tokens and other federated client authentication to authenticate OpenID Connect clients. \n \n Depending on the environment the clients is running in this can eliminate the need for managing secrets for clients altogether. \n \n A number of cloud vendors for example support injecting tokens automatically for workloads\, Kubernetes have support for service accounts\, and last but not least there is SPIFFE that can be leveraged in most environments. \n \n Join this talk to learn about the concepts\, see a live demo\, and hear what's next on our road map.
CATEGORIES:MAINTAINER TRACK
LOCATION:204 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:b92a88f0c3cdd0b08571f53dfb31745d
URL:http://kccncind2026.sched.com/event/b92a88f0c3cdd0b08571f53dfb31745d
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T112000Z
DTEND:20260618T115000Z
SUMMARY:Observability 2.0: Shifting Left From Reactive Monitoring To GenAI-Powered Insights - Kokilavani Kathiresan & RK Gupta\, Intuit; Sivakumar Krishnamurthy\, Cloudera; Suresh Kumar Khemka\, Atlassian India LLP
DESCRIPTION:In this panel\, engineering leaders from Intuit\, Atlassian\, and Cloudera discuss how they transitioned from fragmented monitoring to a unified\, OTel-based observability strategy across 1000+ microservices\, built on CNCF standards like OpenTelemetry and Argo. \n \n Key discussion points include: \n - Standardization at Scale: How to drive OpenTelemetry adoption across thousands of microservices without slowing down feature delivery. \n - The Cost of Insight: How to move beyond the "collect everything" mentality. We’ll discuss the architectural shift from mindless ingestion to intelligent sampling \n - AIOps & The Future: Moving beyond dashboards to predictive incident response and AI-augmented root cause analysis. \n - 'Signal' vs. 'Noise':How are teams leveraging AI to separate true signals from the noise of thousands of clusters? \n \n Join us for a candid conversation on the technical hurdles\, cultural shifts\, and architectural "oops" moments encountered while scaling observability for millions of customers.
CATEGORIES:OBSERVABILITY
LOCATION:Lotus 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:ff1a0ac29c5a7645aa55110e31cb03d7
URL:http://kccncind2026.sched.com/event/ff1a0ac29c5a7645aa55110e31cb03d7
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T112000Z
DTEND:20260618T115000Z
SUMMARY:From API Events To Production in Minutes: Backstage as the Front Door To Multi-Tenant Provisioning - Aditya Soni & Atul Bhardwaj\, Sailpoint
DESCRIPTION:A common challenge for SaaS platforms on K8s is handling the full tenant lifecycle\, onboarding\, upgrades\, and teardown\, without manual provisioning or tenant-per-cluster architectures. As tenant counts rise\, manual workflows slow customer time-to-value and create operational toil. \n \n This session shows how we built an event-driven tenant lifecycle engine using Backstage as the self-service entry point and Argo Workflows\, argo-events\, NATS\, and GitOps as the automation backbone. It handles onboarding\, provisioning\, feature enablement\, scaling\, migrations\, and teardown without human intervention. The platform reduced onboarding from hours to minutes and supported ~10\,000 tenant-specific deployments across clusters while avoiding cluster-per-tenant explosion. \n \n Attendees will learn how Backstage can drive self-service provisioning flows while Argo Workflows and GitOps execute lifecycle operations reliably\, with patterns that reduce toil and improve reliability and SLO compliance.
CATEGORIES:PLATFORM ENGINEERING
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:c678e70402b9aec970496c647ac19f92
URL:http://kccncind2026.sched.com/event/c678e70402b9aec970496c647ac19f92
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T112000Z
DTEND:20260618T112500Z
SUMMARY:⚡ Lightning Talk: 5 Tactics To Forging a Hardened Software Chain - Pronomita Dey\, Intuit
DESCRIPTION:In the fast-paced world of Cloud Native\, the transition from "code commit" to "production pod" is often a fragmented journey. As platform engineering matures\, the responsibility for security has shifted from being a final gatekeeper to a continuous thread woven into the software lifecycle. Gone is the era where a simple image scan was enough. Today’s threats require a multi-layered defence-in-depth strategy that treats security as an automated\, immutable property of the platform. This talk provides a tactical blueprint for engineers looking to secure their platforms from the supply chain to runtime.
CATEGORIES:⚡ LIGHTNING TALKS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:b838244c8976adfd388adb30222c62a8
URL:http://kccncind2026.sched.com/event/b838244c8976adfd388adb30222c62a8
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T112700Z
DTEND:20260618T113200Z
SUMMARY:⚡ Lightning Talk: Your Prompt Is a Cross-Border Data Transfer - Sudhanshu Prajapati\, Improving
DESCRIPTION:Your release pipeline fails\, and you ask an AI agent to debug it. You paste logs\, grant doc access\, and it fixes the bug. But where did that prompt actually go? \n \n Every time you interact with AI\, you create a complex data flow. A single request can pull from a vector db (RAG)\, trigger external tool calls via MCP\, & leave sensitive trails in app logs. Now\, the most sensitive data in any org is no longer in databases. It's in prompts\, logs\, & agentic calls. \n \n In 2025\, half of employees have leaked sensitive company data into public AI tools. When these prompts cross borders\, sovereignty is lost. \n \n In this talk\, I'll demo how to generate an “AI Receipt”\, a per-request trace using open source tools (OTel). Tracing the full data path - prompt ingestion\, retrieval\, & tool calls\, see exactly where sovereignty breaks\, turning sovereignty from a claim into verifiable proof of where data flows. \n \n Join me to create your AI Receipt - so next time you prompt\, you know exactly where it goes.
CATEGORIES:⚡ LIGHTNING TALKS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:daf34ab0e0c552c9e8b5fdbdf53b17e0
URL:http://kccncind2026.sched.com/event/daf34ab0e0c552c9e8b5fdbdf53b17e0
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T113000Z
DTEND:20260618T123000Z
SUMMARY:Women's Community Gathering
DESCRIPTION:Women’s Gatherings are strategic community spaces designed to foster inspiration\, empowerment\, knowledge sharing\, and leadership visibility. They create intentional opportunities to amplify the voices of individuals who identify as women and non-binary\, celebrate achievements\, and strengthen representation across the ecosystem.The objective of this session is to establish a dedicated community gathering for Women in Cloud Native at KubeCon + CloudNativeCon enabling meaningful networking\, peer mentorship\, collaboration\, and sustained engagement. We aim to drive inclusion\, increase participation\, and support the long-term growth of women leaders within the cloud native community.
CATEGORIES:EXPERIENCES
LOCATION:206 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:c8105dab2676455b47842d5475978904
URL:http://kccncind2026.sched.com/event/c8105dab2676455b47842d5475978904
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T113400Z
DTEND:20260618T113900Z
SUMMARY:⚡ Lightning Talk: One Header\, Portable Proof: PEAC Receipts for K8s APIs - Jithin Raj\, Originary
DESCRIPTION:What if every API response included a tiny signed receipt that anyone could verify offline? I'll show how one response header turns your gateway into an evidence-issuing proxy. No new infra\, no vendor lock-in -- just portable proof of what happened.
CATEGORIES:⚡ LIGHTNING TALKS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:d3c9b3c6266707b4588fdab08c4e92c5
URL:http://kccncind2026.sched.com/event/d3c9b3c6266707b4588fdab08c4e92c5
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T114100Z
DTEND:20260618T114600Z
SUMMARY:⚡ Lightning Talk: Pruning the Kernel CVEs With Code Reachability Analysis - Ashish Bijlani\, Ossillate Inc
DESCRIPTION:The Linux kernel is now a CVE Numbering Authority\, a change that has driven an unprecedented increase in reported kernel vulnerabilities. In Kubernetes environments\, this shift has amplified compliance requirements that mandate per-CVE tracking\, remediation\, or justification. This talk presents a methodology for kernel CVE pruning via static code reachability analysis. We map CVEs to vulnerable kernel functions and evaluate whether those functions are reachable under a specific kernel configuration and execution environment. The analysis incorporates build-time configuration (Kconfig)\, loadable modules\, and inter-procedural call graphs to approximate practical exploitability. We present an open-source tool that automates this analysis and evaluate it with representative workloads. Our results show that many kernel CVEs are in unreachable code\, yielding a high reduction in reported exposure. We also discuss limitations and implications for compliance-driven vulnerability management.
CATEGORIES:⚡ LIGHTNING TALKS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:1ad00beae20061f769c7268745ab315c
URL:http://kccncind2026.sched.com/event/1ad00beae20061f769c7268745ab315c
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T114800Z
DTEND:20260618T115300Z
SUMMARY:⚡ Lightning Talk: Secure GitOps for Regulated Workloads: Argo CD Meets Confidential Containers - Jitendra Singh\, Microsoft
DESCRIPTION:GitOps has revolutionized the way we manage cloud-native infrastructure but what happens when your workloads need to be confidential\, attested\, and cryptographically verifiable? This session explores a new frontier in GitOps: deploying and managing confidential container workloads with Argo CD\, Sigstore\, and Confidential Computing hardware (e.g.\, Intel TDX\, AMD SEV\, IBM Secure Execution). You’ll learn how to enforce cryptographic integrity\, verify runtime isolation\, and prevent unauthorized workloads using policy-driven rollouts and attestation checks. We’ll showcase how to: • Automate confidential workload verification in Argo CD pipelines • Use Sigstore/Cosign for keyless signing and provenance attestation • Gate deployments based on SLSA levels or TEE runtime evidence • Visualize runtime trust using OpenTelemetry and Prometheus
CATEGORIES:⚡ LIGHTNING TALKS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:6a1e94aff15f59df8d55ac5be8361a63
URL:http://kccncind2026.sched.com/event/6a1e94aff15f59df8d55ac5be8361a63
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T115500Z
DTEND:20260618T120000Z
SUMMARY:⚡ Lightning Talk: Stepping Aside To Step Up: Designing Maintainer Succession for India’s Cloud Native Future - Nikhita Raghunath\, Broadcom
DESCRIPTION:As a Kubernetes maintainer and ex-CNCF TOC Vice Chair\, I’ve been involved in leadership decisions at both ends: stepping into roles and intentionally stepping away from them. In recent years\, Indian contributors have stepped up into maintainer & governance roles. This is a huge win. But the next challenge is quieter and far more uncomfortable: how do today’s maintainers step aside to make room for the next generation of leaders? Too often\, maintainer succession happens only in crisis - after burnout or sudden departures. Projects stall\, contributor momentum drops & leadership remains concentrated in too few hands. In this lightning talk\, I’ll break down what effective succession looks like in practice\, drawing from real examples from K8s and CNCF projects. I’ll cover maintainer tenure and transition patterns\, real succession stories\, emeritus maintainer models\, psychological challenge of letting go as well as succession templates\, role definitions and knowledge transfer checklists.
CATEGORIES:⚡ LIGHTNING TALKS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:b346f7763a6fdc6f3ff8e957a2d98d39
URL:http://kccncind2026.sched.com/event/b346f7763a6fdc6f3ff8e957a2d98d39
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T120000Z
DTEND:20260618T123000Z
SUMMARY:Beyond Monolithic AI: Cloud Native Patterns for Dynamic Model Selection and Semantic Routing - Vincent Caldeira & Anindita Sinha Banerjee\, Red Hat
DESCRIPTION:The era of the "one-size-fits-all" LLM is ending. We are shifting toward Compound AI Systems—complex meshes where the goal isn't just to query a model\, but to dynamically select the best model for the specific task at hand. This shift creates a massive opportunity for cloud-native architectures: how do you govern non-deterministic routing at scale? \n \n This session breaks down the infrastructure required to move from monolithic agents to multi-model orchestration. We will demonstrate how to implement Semantic Routing within an AI Gateway to act as a traffic controller\, instantly analyzing user intent to route queries to the most capable (or cost-effective) model. You will learn patterns for "supervisor" workflows\, where lightweight models handle routing and heavyweight models handle self-correction. Join us to discover how to build controlled AI systems on Kubernetes\, ensuring your agents are not just powerful\, but precise\, effectively governed\, and fundamentally safer.
CATEGORIES:AI + ML
LOCATION:Lotus 3 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:27074735f8c3544e8eb67be6e603894d
URL:http://kccncind2026.sched.com/event/27074735f8c3544e8eb67be6e603894d
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T120000Z
DTEND:20260618T123000Z
SUMMARY:Rook: Intro and Deep Dive With Ceph Storage - Deepika Upadhyay\, Clyso; Madhu Rajanna\, Rewant Soni\, Malay Parida\, IBM; Pratik Surve\, Red Hat
DESCRIPTION:The Rook project will be introduced to attendees of all levels and experience. Rook is an open source cloud-native storage operator for Kubernetes\, providing the platform\, framework\, and support for Ceph to natively integrate with Kubernetes. The panel will discuss various scenarios to show how Rook configures Ceph to provide stable block\, shared file system\, and object storage for your production data. Rook was accepted as a graduated project by the Cloud Native Computing Foundation in October 2020.
CATEGORIES:MAINTAINER TRACK
LOCATION:204 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:bbd3208b63131f49b74e96a8d8d68c36
URL:http://kccncind2026.sched.com/event/bbd3208b63131f49b74e96a8d8d68c36
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T120000Z
DTEND:20260618T123000Z
SUMMARY:Offline but Not Blind: Observability in Air-Gapped Kubernetes Environment - Manoj Sardana\, HCL Software
DESCRIPTION:In many regulated industries\, especially across India\, not every Kubernetes cluster runs in the cloud. Banks & government systems often operate air-gapped Kubernetes clusters with no internet access. In these environments\, SaaS-based observability assumptions does not hold good &Observability becomes core Kubernetes infrastructure\, not a service. This session explains why air-gapped K8s environments matter and outlines the challenges they introduce\, including constrained scaling\, offline upgrades\, local image management\, and storage-bound observability pipelines. We then walk through a real-world journey of building K8s observability in an air-gapped setup using OpenTelemetry and self-hosted LGTM stack (Loki\, Grafana\, Tempo\, Mimir). The talk covers in-cluster telemetry design\, cardinality control\, offline upgrades\, autoscaling without internet and operating observability components as first-class Kubernetes workloads\, followed by practical limitations and operational best practices.
CATEGORIES:OBSERVABILITY
LOCATION:Lotus 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:8985e6a0ff02e1fdc93c33d7c37112fe
URL:http://kccncind2026.sched.com/event/8985e6a0ff02e1fdc93c33d7c37112fe
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T120000Z
DTEND:20260618T123000Z
SUMMARY:Building a Self-Service Platform for Stateful AI Agents - Shuva Jyoti Kar\, Cisco Systems
DESCRIPTION:AI agents are moving from prototypes into production\, and platform teams are increasingly asked to provide a “paved road” for deploying them safely. But agentic workloads don’t fit neatly into traditional stateless service templates: they pull in embeddings and retrieval context\, call tools\, stream responses\, and require repeatable execution across environments—often leading to one-off deployments and operational inconsistency. \n \n This talk presents a platform engineering "path” for agentic workloads using a pattern we call self-contained data agents: a standardized\, containerized unit that packages the agent runtime\, tool contracts\, and data-adjacent execution model behind a clear service boundary. We’ll show how Knative enables a consistent developer experience—request-driven deployment\, scale-to-zero\, revision-based rollouts\, and session management—while keeping the platform portable and Kubernetes-native.
CATEGORIES:PLATFORM ENGINEERING
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:c597ee80762c6182bf90f3c28247a7e4
URL:http://kccncind2026.sched.com/event/c597ee80762c6182bf90f3c28247a7e4
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T120200Z
DTEND:20260618T120700Z
SUMMARY:⚡ Lightning Talk: Why Your Cluster-Wide Policies Are a Risk (And What To Do About It) - Dhruv Puri\, Aspora
DESCRIPTION:As Kubernetes evolves\, so must policy enforcement. ValidatingAdmissionPolicy and MutatingAdmissionPolicy set new standards using CEL for policy logic. Kyverno aligned with these patterns and introduced CEL-based policy types. However\, cluster-scoped resources created challenges: RBAC complexity\, isolation concerns\, and performance bottlenecks. Kyverno addressed this with namespace-scoped policy types - limiting blast radius\, simplifying permissions\, and improving admission latency. Dhruv Puri (Kyverno LFX Mentee) explains why namespace-scoped policies matter\, how they secure multi-tenant environments\, and how Kyverno internals can help you optimize admission performance. Attendees leave with actionable strategies for namespace-scoped policies and a deeper understanding of Kyverno's architecture.
CATEGORIES:⚡ LIGHTNING TALKS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:de598dbc31958a570cefca5ec69b8c0b
URL:http://kccncind2026.sched.com/event/de598dbc31958a570cefca5ec69b8c0b
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260618T123000Z
DTEND:20260618T140000Z
SUMMARY:Welcome Reception 🎉
DESCRIPTION:Menu\nAminabadi Murgh Tikka (GF)\n(Contains Milk)\n\nKashmiri Chicken Seekh Kebab\, mint relish (GF)\n(Contains Milk\, Egg)\n\nMutton Shikampuri Kebab (NV) \n(Contains Milk\, Nut (Cashew))\n\nNaan Thod\, Chilli tamarind potatoes (VE\, GF)\n\nHara bhara kebab \nThe famous kebab of green lentils and chana dal done on the griddle.\n(Contains Milk\, Wheat)\n\nCheese poppers with ranch dip \n(Contains Milk\, Wheat)\n\n
CATEGORIES:EXPERIENCES
LOCATION:Jasmine 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:42eed40a4cbdbfdec6caae0f91412715
URL:http://kccncind2026.sched.com/event/42eed40a4cbdbfdec6caae0f91412715
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T020000Z
DTEND:20260619T121500Z
SUMMARY:Cloakroom
DESCRIPTION:\n
CATEGORIES:REGISTRATION
LOCATION:Lotus Foyer (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:01226b76724785aee677f0ed55968f79
URL:http://kccncind2026.sched.com/event/01226b76724785aee677f0ed55968f79
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T023000Z
DTEND:20260619T113000Z
SUMMARY:Registration + Badge Pick-Up
DESCRIPTION:\n
CATEGORIES:REGISTRATION
LOCATION:Lotus Foyer (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:a0fa2ad9efcc3a073db0a5f185f550a6
URL:http://kccncind2026.sched.com/event/a0fa2ad9efcc3a073db0a5f185f550a6
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T041500Z
DTEND:20260619T043500Z
SUMMARY:Keynote: Welcome Back + Opening Remarks
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:191c7f9011470ebfde1e5a70bbc1e799
URL:http://kccncind2026.sched.com/event/191c7f9011470ebfde1e5a70bbc1e799
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T043700Z
DTEND:20260619T044000Z
SUMMARY:Keynote: From Kubernetes Learning to Community Leadership: Inspiring the Next Generation of Cloud Native Engineers - Lavanya Anbalagan\, Platform Architect\, MatrixKube Technologies
DESCRIPTION:The cloud-native ecosystem is creating new opportunities for engineers across the world. The Kubestronaut program\, built around advanced Kubernetes certifications\, showcases how structured learning and technical excellence can help engineers gain industry recognition\, deepen their expertise\, and accelerate career growth.\n\nThis keynote explores how continuous learning\, Kubernetes certifications\, open-source participation\, and hands-on platform engineering can help engineers build strong technical foundations and meaningful careers in cloud native technologies. From learning Kubernetes concepts to enabling others through mentorship and community engagement\, the journey reflects the power of practical learning and consistent upskilling.\n\nThe session also highlights how community-driven programs\, technical certifications\, and real-world experience can help aspiring engineers gain confidence\, deepen their expertise\, and actively contribute to the growing Kubernetes ecosystem. As cloud-native adoption continues to expand\, the next generation of engineers has an opportunity not only to build scalable systems but also to shape the future of the community itself.
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:2527f940fa203e18da449883e34b35b7
URL:http://kccncind2026.sched.com/event/2527f940fa203e18da449883e34b35b7
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T044200Z
DTEND:20260619T044500Z
SUMMARY:Keynote: Running 911 & Mission-Critical Workloads on Shared Kubernetes Platforms - Manoj K R\, Senior Software Engineer\, Motorola Solutions
DESCRIPTION:Manoj K R\, a Kubeastronaut and Senior Software Engineer at Motorola Solutions\, CPS\, shares how Kubernetes and CNCF technologies such as cert-manager\, KEDA\, HPA/VPA\, Cilium\, Kyverno\, and multi-tenant platform automation are being used to support 911 and other mission-critical enterprise applications on shared Kubernetes platforms across cloud environments. This keynote preview will highlight how cloud-native platform engineering enables workload isolation\, scalable traffic management\, DNS automation\, security governance\, and reliable operations for critical workloads at scale.
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:861da24a7cc50ac5277e9a847110db98
URL:http://kccncind2026.sched.com/event/861da24a7cc50ac5277e9a847110db98
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T044700Z
DTEND:20260619T045700Z
SUMMARY:Keynote: The Human Cost of Security in the AI Era - Sonali Srivastava\, Senior Developer Advocate\, Improving
DESCRIPTION:We have been coming to KubeCon for ten years and talking about supply chain security for at least five of those years. We know the attacks and the mitigations. We have the frameworks\, the SBOM attestations and the CNCF projects.\n\nSo why are the houses still burning?\n\nThat is what this talk is about. Not the tools\, you know the tools. The gap between knowing and doing. And what happens when AI arrives on both sides of that gap at the same time.\n\nEvery security vulnerability comes with a score. But no severity score captures what it costs to be the person who reads that advisory at two in the morning\, maintaining a project in the hours between their actual job and life\, for a community that depends on them.\n\nGitHub RCE\, Trivy supply chain attack\, tj-actions compromise\, the xz backdoor. CVSS rankings from High to Critical. And behind every one\, a human.\n\nEvery technological wave has done this. Humans absorb the cost.\n\nThe CNCF TAG DevEx survey of nearly 100 projects confirms top concerns of maintainers include security vulnerabilities and the burden caused by a potential flood of low-effort PRs and issues.\n\nThis talk traces the human cost across real incidents\, asks why the pattern keeps repeating\, and explores what it would take to finally break it.\n\nKey takeaways include empathy for the maintainers along with a demo of how the same AI could be used to help maintainers know whether a published CVE affects their project and to what extent.
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:a9914e187a9139624dfcf1a5f1ba6c43
URL:http://kccncind2026.sched.com/event/a9914e187a9139624dfcf1a5f1ba6c43
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T045900Z
DTEND:20260619T050900Z
SUMMARY:Keynote: Automating RBI Compliance With Unified Policy-as-Code - Jim Bugwadia\, Founder and CEO\, Nirmata & Ashwath Kumar\, Head of Security\, Razorpay
DESCRIPTION:In highly regulated fintech environments like Razorpay\, compliance with RBI and PCI DSS mandates is a license to operate. A single misconfiguration can trigger severe penalties or risk payment licenses. However\, traditional manual "audit toil" and late-stage production fixes create massive engineering friction and business risk. \n \n This session explores a multi-layered\, automated framework to map complex mandates directly into "Policy-as-Code" (PaC) controls. The speakers demonstrate how to move from periodic audit woes to "steady-state ops hygiene" using PaC across three critical layers: Proactive Controls (Shift-Left) to catch issues in CI/CD\, Preventive Controls to block non-compliant workloads\, and Detective Controls for continuous\, automated evidence gathering. \n \n You will learn how to translate abstract compliance standards into enforceable policies and immutable audit trails\, reducing technical debt and satisfying regulators without slowing down innovation.
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:c0a34fb6debd59ee042f377f5fd740f8
URL:http://kccncind2026.sched.com/event/c0a34fb6debd59ee042f377f5fd740f8
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T051100Z
DTEND:20260619T051400Z
SUMMARY:Keynote: The Vertically Integrated Bank: Scaling from NBFC to Integrated on Kubernetes - Faeka Ansari\, DevEx Platform Engineer\, Slice Financial Bank
DESCRIPTION:This talk shares slice's platform engineering journey from monolithic systems to 100s of cloud native microservices on K8s. It explores how ownership\, GitOps\, container security\, observability\, clone spaces\, custom CI runners\, and AI agent infrastructure helped build security\, compliance\, reliability\, and speed into the platform.\n\nA practical story of how owning the core\, building strong platform capabilities\, and making the Secure path the fast path can turn cloud native engineering into a competitive advantage.
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:c338f3a5af60a16b5d972b398681e2a6
URL:http://kccncind2026.sched.com/event/c338f3a5af60a16b5d972b398681e2a6
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T051600Z
DTEND:20260619T051900Z
SUMMARY:Keynote: SBI Meghdoot - Modern Sovereign Cloud Serving Millions of Customers - Rajesh Singh\, Cloud Lead\, SBI
DESCRIPTION:SBI is the largest public sector bank in India catering to more than 52 Crore customers ranging from rural to NRI Customers. Given such dynamic geography to address\, the Bank needs a robust cloud platform to not only serve high-volume digital transactions for applications like UPI but also provide flexibility to host modern container & AI apps.\nThis session focuses on how SBI has built a robust Sovereign Cloud Platform Meghdoot to cater the varied application demands\n\nLearn how this Sovereign Cloud stack supporting an enterprise Kubernetes platform provides strict compliance\, zero-trust security\, and the flexibility needed to support the daily digital transactions of millions of citizens. You can expect practical lessons on managing large enterprise workloads\, connecting legacy infrastructure with cloud-native design\, and setting a new global standard for sovereign digital banking.
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:4457822b7630ab9dee65224982335c70
URL:http://kccncind2026.sched.com/event/4457822b7630ab9dee65224982335c70
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T052100Z
DTEND:20260619T052400Z
SUMMARY:Keynote: One Deploy Plane\, Every Runtime: How Shopify Generalized Cloud Native Beyond Kubernetes - Aqeel Nazeer\, Senior Infrastructure Engineer\, Shopify
DESCRIPTION:At Shopify\, applications don't all live on Kubernetes. They live on Kubernetes\, on VMs\, and on serverless. Hundreds of services across multiple regions\, reached through a single deploy plane. At peak last Black Friday\, this fleet served 489 million requests per minute and ran across 3.18 million CPU cores.\n\nNone of this would exist without the CNCF ecosystem. A request to Shopify flows through a layered edge — CDN\, regional load balancers\, and tenant-routing proxies — before reaching a workload on Kubernetes\, VMs\, or serverless. In this keynote\, we walk through how Kubernetes\, Envoy with xDS\, custom resources and controllers\, and an observability stack built on Prometheus\, Thanos\, and OpenTelemetry compose into a single orchestrator that ships code safely across every runtime in our fleet — with phased traffic shifting\, automated rollback against live error metrics\, and an audit trail expressed in git.\n\nAttendees will leave with a mental model for using cloud-native primitives to build a deploy control plane that scales beyond Kubernetes. This is the story of what cloud native makes possible when AI is writing the code faster than humans can review it — and the deploys still have to be safe.
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:af483e9cb6fedf479f5a87008de2dd53
URL:http://kccncind2026.sched.com/event/af483e9cb6fedf479f5a87008de2dd53
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T052600Z
DTEND:20260619T054500Z
SUMMARY:Keynote: Closing Remarks
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:f44ddcc37d66d1569788df36334251bf
URL:http://kccncind2026.sched.com/event/f44ddcc37d66d1569788df36334251bf
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T054500Z
DTEND:20260619T063000Z
SUMMARY:Coffee Break ☕
DESCRIPTION:Sliced fresh Fruits (VE\, GF)\nWatermelon\, grapes\, kiwi\, dragon fruit\, papaya\n\nMedu vada (VE\, GF)\nWith coconut and tomato chutney\n(Contains Mustard)\n\nMysore Bonda (VE\, GF)\n\nSambhar \n(Contains Mustard) \n\nCoconut chutney \n(Contains Mustard)\n\nVegetable upma (VE)\nSavory semolina porridge with mixed vegetables\n(Contains Wheat\, Mustard\, Milk)\n\nCheese Chutney Sandwich\n(Contains Milk\, Wheat\, Mustard)\n\nAlmond Croissants \n(Contains Milk\, Wheat\, Nut (Almond))
CATEGORIES:BREAKS
LOCATION:Jasmine 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:db25330ac22433fc660e10569d3827d6
URL:http://kccncind2026.sched.com/event/db25330ac22433fc660e10569d3827d6
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T054500Z
DTEND:20260619T104000Z
SUMMARY:Solutions Showcase
DESCRIPTION:Visit our sponsors in the Solutions Showcase to try the latest demos\, watch live presentations\, talk to experts\, check out job opportunities\, and score some swag.In order to facilitate networking and business relationships at the event\, you may choose to visit a third party’s booth or to access sponsored content. You are never required to visit third-party booths or to access sponsored content. When visiting a booth or participating in sponsored activities\, the third party will receive some of your registration data. This data includes your first name\, last name\, title\, company\, address\, email\, standard demographics questions (i.e. job function\, industry)\, and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content\, you are explicitly consenting to receipt and use of such data by the third-party recipients\, which will be subject to their own privacy policies.
CATEGORIES:SOLUTIONS SHOWCASE
LOCATION:Jasmine 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:a887b1b5f15a75ce8233d9730527b6ab
URL:http://kccncind2026.sched.com/event/a887b1b5f15a75ce8233d9730527b6ab
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T061500Z
DTEND:20260619T063000Z
SUMMARY:Learning Lounge: One Small Step\, One Giant Leap - Learning Paths in LF Education - Ram Iyengar\, Cloud Foundry Foundation
DESCRIPTION:Tip Talk
CATEGORIES:SOLUTIONS SHOWCASE
LOCATION:Jasmine 1 (Level 3) | Booth G3\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:619631af6b53169bdd5babbb623d7338
URL:http://kccncind2026.sched.com/event/619631af6b53169bdd5babbb623d7338
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T061500Z
DTEND:20260619T064500Z
SUMMARY:Gold Sponsor In-Booth Demos
DESCRIPTION:Sponsor: Portworx by Everpure\nDemo: CSI WON’T SAVE YOU: Why 'CSI Support' is not a storage strategy and you are being setup to fail\nBooth Number: G9\n\n\nIn order to facilitate networking and business relationships at the event\, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities\, the third party will receive some of your registration data. This data includes your first name\, last name\, title\, company\, address\, email\, standard demographics questions (i.e. job function\, industry)\, and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content\, you are explicitly consenting to receipt and use of such data by the third-party recipients\, which will be subject to their own privacy policies.
CATEGORIES:SPONSORED DEMOS
LOCATION:Jasmine 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:af898c5133174c96774c36e7ce6b525a
URL:http://kccncind2026.sched.com/event/af898c5133174c96774c36e7ce6b525a
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T063000Z
DTEND:20260619T070000Z
SUMMARY:When LLMs Hit Production: Why You Need an AI Gateway - Gavrish Prabhu\, Nutanix
DESCRIPTION:The surge of Generative AI and large language models (LLMs) is introducing new operational challenges for Kubernetes platforms. Unlike traditional APIs\, GenAI traffic is highly variable\, token-driven\, and cost-sensitive\, requiring new approaches to routing\, security\, and observability. This session\, presented by the project maintainers\, examines Envoy AI Gateway\, a CNCF-hosted open source project\, and its role as a Kubernetes-native control plane for GenAI workloads.. We’ll break down an end-to-end architecture that uses Envoy AI Gateway to manage and govern traffic across multiple LLM backends both self-hosted and cloud-based while enforcing policies such as token-aware rate limiting\, authentication\, and dynamic model selection. Attendees will leave with practical insights into designing resilient\, scalable GenAI platforms on Kubernetes\, and an understanding of how AI-aware gateways fit into modern cloud-native infrastructure.
CATEGORIES:AI + ML
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:b37296b2326af2fb0a283b771408b07a
URL:http://kccncind2026.sched.com/event/b37296b2326af2fb0a283b771408b07a
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T063000Z
DTEND:20260619T070000Z
SUMMARY:Transforming the DNA: How the Indian Banking Sector Is Leading the Cloud Native Revolution - Sudheesh Sudhakaran\, Broadcom; K Sriram Kumar\, I-exceed; RanVijay Pandey\, Infosys Finacle; Komila Jain\, TCS; Rajesh Singh\, SBI
DESCRIPTION:The Indian BFSI sector is shifting to cloud-native architectures to enhance operational efficiency\, scalability\, and digital customer experiences. This panel of industry leaders\, Architects from India's largest Bank (SBI) to leading Banking software firms (Infosys Finacle\, TCS\, I-exceed)\, is here in India's financial capital\, to discuss: \n - Cloud Native adoption and growth in the BFSI sector \n Banking-specific\, unique real-world use cases\, role of Agentic AI \n - Developing and operating applications at scale\, e.g 1.7B accounts serving 1.3B people across the globe \n - Security safeguards\, governance\, and change management\, with the use of the CNCF project Flagger \n - Tackling challenges with cloud-native technologies and the feedback loop with the community and maintainers. \n \n This panel shares insights on cloud-native adoption in India's BFSI sector\, incorporating global perspectives. Be inspired by how popular technologies are architected at scale to deliver innovative banking solutions.
CATEGORIES:CLOUD NATIVE EXPERIENCE
LOCATION:Lotus 3 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:1df30d38560ade519bc17e8c3726b132
URL:http://kccncind2026.sched.com/event/1df30d38560ade519bc17e8c3726b132
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T063000Z
DTEND:20260619T070000Z
SUMMARY:A gRPC Transport for the Model Context Protocol - Pawan Bhardwaj\, Google
DESCRIPTION:We want to introduce gRPC as native transport for Model Context Protocol. As we know gRPC is already well establish in microservices\, these services are now evolving as tools for AI. Using gRPC as native transport for MCP have following advantages 1. Authentication and Authorization features of gRPC channels can be used for transport. 2. As gRPC uses protobuf\, hence we get the advantage of more throughput and less bandwidth usage. 3. gRPC already has streaming capabilities which can be used for MCP as required. 4. It would be less frictional for micro-services to have their services as MCP using gRPC transport as infra remains the same. 5. Protobuf specification creates strong API contracts between various language implementations. 6. As gRPC supports proxy-less service mesh\, MCP servers having gRPC transport can take advantage of it for various features such as load balancing\, MTLS etc.
CATEGORIES:CONNECTIVITY
LOCATION:Lotus 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:ea6c5270d9731eed9f0733a918edc4b1
URL:http://kccncind2026.sched.com/event/ea6c5270d9731eed9f0733a918edc4b1
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T063000Z
DTEND:20260619T070000Z
SUMMARY:Introducing OCI Webhook Support in Argo CD: From Polling To Real-Time - Nitish Kumar\, Akuity
DESCRIPTION:As GitOps evolves\, more teams are adopting OCI-based artifacts for Helm charts and Kubernetes manifests instead of traditional Git repositories. While Argo CD added support for OCI sources\, one major gap remained: event-driven updates. Unlike Git repositories\, OCI registries historically lacked first-class webhook integration\, forcing teams to rely on polling or manual refreshes. For organizations using GHCR\, DockerHub\, this meant slower feedback loops and reduced automation in production environments. Argo CD is adding webhook support for OCI-compliant registries. In this session\, I’ll present the design and implementation of webhook support\, including GHCR and upcoming Docker Hub integration. I’ll also demonstrate how to configure registry webhooks\, connect them to Argo CD\, and trigger real-time reconciliation securely. By the end of this talk\, you’ll understand not just how OCI webhooks work internally\, but how to configure them correctly in production and what pitfalls to avoid.
CATEGORIES:MAINTAINER TRACK
LOCATION:204 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:54cd36819f0d3f0b600f048db8e87f04
URL:http://kccncind2026.sched.com/event/54cd36819f0d3f0b600f048db8e87f04
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T063000Z
DTEND:20260619T070000Z
SUMMARY:Inference in Progress… Please Monitor Responsibly - Gaurav Sharma\, NVIDIA
DESCRIPTION:Running GPU inference on Kubernetes is no longer exotic — it’s becoming the default for modern AI workloads. But while teams obsess over model latency and throughput\, the real problems usually hide deeper: GPU under-utilization\, memory fragmentation\, node-level contention\, noisy neighbour\, and observability gaps that make debugging feel like guesswork. \n In this talk\, we’ll walk through a practical\, field-tested monitoring approach for GPU inference workloads on Kubernetes. Attendees will learn how to instrument GPU nodes\, collect and correlate GPU-specific metrics\, build alerting around inference SLOs\, and detect performance regressions before they disrupt production. We’ll also cover common anti-patterns and what “good” looks like for GPU observability in 2025. \n If you're running (or planning to run) GPU inference at scale\, this session will help you monitor responsibly — and keep your cluster healthy\, efficient\, and fast.
CATEGORIES:OBSERVABILITY
LOCATION:205 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:ac4c83d1083c49cb39f6111dfbcb2d9e
URL:http://kccncind2026.sched.com/event/ac4c83d1083c49cb39f6111dfbcb2d9e
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T071000Z
DTEND:20260619T074000Z
SUMMARY:GPU Hunter: Architecting Global GPU Availability With MultiKueue - Kishore Jagannath & Ram J A\, Google
DESCRIPTION:This talk tackles the global GPU shortage and a critical cloud-native reality in batch workload scheduling: "Kueue Quota reserved" does not equal "Capacity available". For production inference\, this distinction determines whether workloads succeed or remain stuck indefinitely. The session explores transcending regional silos using MultiKueue to manage a global federation of worker clusters. Moving beyond basic setup\, the speakers address the "Quota vs. Datacenter Capacity" dilemma. They reveal a critical gap discovered through experiments: workloads becoming stranded in regions with exhausted capacity despite available quotas. The speakers share their collaboration with the community to resolve these scheduling gaps (Issue #8089). This talk demonstrates the configuration aspects of Admission Checks and provisioning classes in Multikueue to force the scheduler to "hunt" for actual capacity in worker clusters across regions rather than relying solely on user-provided quota.
CATEGORIES:AI + ML
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:009668c776a1cc8aebcf42a41e44da2f
URL:http://kccncind2026.sched.com/event/009668c776a1cc8aebcf42a41e44da2f
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T071000Z
DTEND:20260619T074000Z
SUMMARY:When Kubeflow Fights Cilium: Debugging 60% Idle GPUs in Kubernetes - Ramkumar Nagaraj & Bingi Narasimha Karthik\, Adobe
DESCRIPTION:We built a research testbed to validate ML workload scalability on Kubernetes with Kubeflow and Cilium. During 500-node stress tests\, GPUs sat idle 60% of the time while pods waited for available resources. \n \n Through controlled experiments\, we isolated the cause: Kubeflow's pipeline scheduler and Cilium's network-aware pod placement make conflicting decisions. Kubeflow schedules pods without considering network topology. Cilium optimizes networking but can't move scheduled pods. Result? GPUs unused while the scheduler searches for placement that won't happen. \n \n This talk shares our systematic investigation\, diagnostic methodology\, and scheduling constraints that resolved it. Lab tests show GPU utilization improved from 40% to 85%. You'll see the problem reproduced live\, understand why it's hard to detect\, and get tested Kubernetes configs. This matters for anyone planning distributed training with Kubeflow or similar orchestrators on network-optimized clusters.
CATEGORIES:AI + ML
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:7b655f40951f7bf3d3ade0f956524d4f
URL:http://kccncind2026.sched.com/event/7b655f40951f7bf3d3ade0f956524d4f
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T071000Z
DTEND:20260619T074000Z
SUMMARY:Conversations With the Kernel: A Netlink Deep Dive - Yash Kumar Singh & Daman Arora\, Broadcom
DESCRIPTION:The Linux Netlink API is the kernel’s structured communication channel for the user space\, enabling interaction with subsystems such as routing\, netfilter\, and interface management. Introduced as a modern replacement for ioctl\, Netlink provides a message-based architecture where the user space and the kernel exchange serialized binary messages through dedicated Netlink families. This session explores how Netlink’s extensible design and attribute-based encoding enable efficient communication between layers of the networking stack. \n \n We’ll then demonstrate how these capabilities can be leveraged in cloud-native systems - showcasing how we are using netlink in kube-proxy to interact with the netfilter accounting (nfacct) subsystem for in-kernel packet counting\, and how we recently shifted conntrack cleanup from a user-space binary-based approach to Netlink\, significantly reducing connection cleanup time from minutes to seconds.
CATEGORIES:CONNECTIVITY
LOCATION:Lotus 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:690033e7764175383871190098b01719
URL:http://kccncind2026.sched.com/event/690033e7764175383871190098b01719
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T071000Z
DTEND:20260619T074000Z
SUMMARY:KServe in Production: Scaling Generative Inference the Cloud Native Way - Johnu George\, Nutanix
DESCRIPTION:KServe has evolved into a powerful\, production-ready model serving platform for a wide range of machine learning and generative AI use cases. This Maintainer Track session will provide a comprehensive overview of how KServe supports everything from deploying your first inference service to running advanced\, large-scale generative inference workloads in production. We will highlight the latest feature enhancements\, including distributed inference support\, KV cache optimized inference\, token-based rate limiting\, and integration with external model providers. The session will also cover architectural considerations\, scaling strategies\, and operational best practices for real-world deployments. Finally\, we will share the roadmap for generative inference in KServe and discuss how the community is shaping the future of scalable\, efficient\, and cloud-native AI serving.
CATEGORIES:MAINTAINER TRACK
LOCATION:204 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:55590dec893319fd4d679115f35d06d7
URL:http://kccncind2026.sched.com/event/55590dec893319fd4d679115f35d06d7
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T071000Z
DTEND:20260619T074000Z
SUMMARY:Patients as Time-Series: High-Stakes Clinical Alerting With OpenSearch & K8s - Seema Saharan\, Autodesk & Aakanksha Saharan\, Independent
DESCRIPTION:Patients aren’t static records\; they are evolving systems. Neurology makes this clear\, but the technical lesson applies to any domain where "normal" changes over time. This session treats longitudinal data as time-series to reshape search\, relevance\, and alerting in OpenSearch. We move beyond "snapshot" queries to focus on evidence drift and trajectories via three pillars: Longitudinal Indexing: Strategies for time-dependent data to support trend-based retrieval. Detecting Trajectory Drift: Using OpenSearch Anomaly Detection to identify when patterns deviate from expected ranges. Probabilistic Alerting: Moving from hard thresholds to uncertainty-aware alerts factoring in clinical noise and data gaps. Attendees will learn to build systems that reason over time and trends rather than isolated documents—a blueprint for healthcare\, AIOps\, and beyond. This session bridges OpenSearch with the CNCF ecosystem (Kubernetes/OpenTelemetry) for mission-critical workloads.
CATEGORIES:OBSERVABILITY
LOCATION:Lotus 3 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:d91b7c008eaf560de549ac2a7372832c
URL:http://kccncind2026.sched.com/event/d91b7c008eaf560de549ac2a7372832c
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T071000Z
DTEND:20260619T074000Z
SUMMARY:Zero Trust for Autonomous Agents: Isolating AI Workloads on Kubernetes - Kanagalingam Senthalan\, WSO2
DESCRIPTION:AI Agents are moving from experimental scripts to autonomous "digital employees" creating a new security crisis. Because agents determine their own execution paths\, standard security fails. Securing them requires strictly enforcing the 4 Pillars of Governance: Administration\, Authentication\, Authorization\, and Audit at the infrastructure layer. This talk presents a practical implementation of these pillars using Cell-Based Architecture on Kubernetes. We will demonstrate how to encapsulate agents into governed "Cells" to enforce Zero Trust controls at every critical traffic boundary: 1. User → Agent 2. Agent → Agent 3. Agent → Tool 4. Agent → LLM We will translate these pillars into real Kubernetes primitives\, giving attendees a blueprint to move from "unmanaged bots" to hardened\, enterprise-ready workloads. All patterns demonstrated use CNCF-hosted projects and open-source identity primitives leveraging open standards like OIDC and OAuth 2.0.
CATEGORIES:SECURITY
LOCATION:205 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:bf49033a30a2cec90f04bd19b475fd8d
URL:http://kccncind2026.sched.com/event/bf49033a30a2cec90f04bd19b475fd8d
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T074000Z
DTEND:20260619T090000Z
SUMMARY:Lunch 🍛
DESCRIPTION:Salads\nGreek style (GF)\nSalad of sweet pepper\, cucumber\, Kalamata olives\, feta crumble\n (Contains Milk)\n\nSalad of Granny Smith apple\, fresh iceberg\, fennel\, parmesan grits\, dehydrated cranberries (VE)\n(Contains Mustard)\n\nKrapow gai \nSalad of minced chicken\, chilli flakes\, parched rice\, and coriander saw tooth\n(Contains Soy\, Sesame\, Wheat\, Mustard) \n\nChatpate chole aur bhune aloo ki chaat \n(Contains Milk\, Wheat)\n\nMain Course \nDum ka Murgh (GF)\nChicken cooked with dum in saffron-based aromatic gravy\n(Contains Milk\, Nut (Cashew))\n\nPaneer Kundan qalian cottage cheese cooked in a flavorful\, rich golden gravy scented with saffron and herbs (GF)\n(Contains Milk\, Nut (Cashew))\n\nLachha saag \nSpinach tempered with cumin\, garlic\, and chilli\n(Contains Milk\, Mustard)\n\nSubz handi (VE\, GF)\nSeasonal vegetable cooked with Indian spices\n\nDal fry (VE\, GF)\nYellow lentil tempered with cumin\, garlic\, and red chili\n(Contains Milk)\n\nSteamed fragrant basmati rice (VE\, GF)\n\nDum subz Biryani \n(Contains Milk)\n\nProvençale baked vegetable\, aged cheddar\, and Parmigiano Reggiano crust \n(Contains Milk\, Wheat)\n\nBlack bean fish with red onions and peppers\, scallions&nbsp\;\n(Contains Fish\, Soy\, Wheat\, Celery\, Egg)\n\nStir-fry of asparagus\, waterchestnuts\, babycorn\, shiitake\, and napa cabbage\, chilli bean glaze (VE\, GF)\n(Contains Soy\, Celery)\n\nEffu noodles (VE)\n(Contains Wheat\, Soy)\n\n Accompaniments\nAssorted Indian bread \n(Contains Milk\, Wheat)\n\nCucumber and fresh mint raita (GF)\n (Contains Milk)\n\nPickle\, papad and chutney (GF)\n(Contains Milk\, Mustard)\n\nDesserts\nKesari shrikhand\, pistachio crumble \n(Contains Milk\, Nut (Pistachio\, Almond))\n\nPassion fruit chiboust\, coconut crème \n(Contains Sulphite\, Soy\, Nut (Pistachio))\n\nBelgium Chocolate Pastry \n(Contains Milk\, Wheat\, Soy)
CATEGORIES:BREAKS
LOCATION:Jasmine 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:5ca6a47ddca223f627c2f90a9aa32fcf
URL:http://kccncind2026.sched.com/event/5ca6a47ddca223f627c2f90a9aa32fcf
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T090000Z
DTEND:20260619T093000Z
SUMMARY:Run Your Own AI Cluster on a DGX Spark: Kubernetes\, GPUs\, and DRA - Janakiram MSV\, Janakiram & Associates & Shreyas Mocherla\, Nirmata
DESCRIPTION:AI engineers often choose between laptops that cannot keep up and expensive shared cloud clusters\, which slows iteration. This session shows how to turn a single NVIDIA DGX Spark into a personal AI cluster using Kubernetes\, GPU tooling\, and Dynamic Resource Allocation. Starting from a minimal single-node cluster\, we add GPU enablement\, an AI app stack\, and DRA-based GPU sharing. You will learn how the NVIDIA GPU Operator and DRA drivers expose GPU capabilities\, how ResourceClasses and ResourceClaims work\, and how to enable multiple workloads to share a single device with predictable behavior. A live demo runs an interactive chat or multimodal app beside a background job on the same GPU\, using different DRA policies and observing enforcement at runtime. You leave with a clear mental model\, reusable YAML\, and patterns that remain portable from a desk-side Spark to multi-node cloud clusters\, plus basics for utilization visibility\, capacity planning\, and multi-tenancy.
CATEGORIES:AI + ML
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:a69048be24e0045658b103d29045091c
URL:http://kccncind2026.sched.com/event/a69048be24e0045658b103d29045091c
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T090000Z
DTEND:20260619T093000Z
SUMMARY:Service Networking Within Air-Gapped Environments: Deployment Strategies and Operational Management - Anirban Nandi\, Google
DESCRIPTION:During the development of an air-gapped cloud infrastructure\, Google engineering teams encountered a major challenge: the heavy operational burden on each service owner to manage common networking functions like load balancing\, authorization\, mTLS\, rate limiting\, etc. This was further complicated by the prevalent use of open-source software stacks with limited customisations for such use cases. Consequently\, a collective decision was made to implement an Istio service mesh and in-cluster gateways to abstract these operations. However\, operating a mesh in an air-gapped environment introduces unique technical and logistical difficulties. This talks presents methodologies for reliably scaling meshes and gateways both zonally and globally across diverse bare-metal and KubeVirt clusters spanning multiple networks by integrating with established OSS technologies like MetalLB\, Cilium ClusterMesh\, etc. as well as OpenTelemetry\, Fluentbit\, Grafana\, etc. for robust operational transparency.
CATEGORIES:CONNECTIVITY
LOCATION:Lotus 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:a2ace5e18b2326bc947c29b9339eaa98
URL:http://kccncind2026.sched.com/event/a2ace5e18b2326bc947c29b9339eaa98
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T090000Z
DTEND:20260619T093000Z
SUMMARY:When the Edge Can’t Afford a Third Node: A Storage Solution for Two-Node Kubernetes Cluster - Parth Arora\, IBM
DESCRIPTION:Edge Kubernetes clusters run under strict constraints—limited hardware\, power\, and space—where deploying three nodes for storage quorum is often unrealistic. Still\, these environments must support stateful workloads and recover safely from failures. This session focuses on Rook-Ceph as a storage solution for two-node Kubernetes clusters at the edge. It explains why Ceph traditionally expects three nodes\, what breaks in minimal deployments\, and how recent design patterns make two-node setups practical when combined with fencing. Attendees will learn how Rook-Ceph behaves in two-node clusters\, how floating Ceph MONs and DRBD-backed monitor state help preserve quorum\, and why fencing is critical to avoid split-brain during node crashes\, power loss\, or network partitions.
CATEGORIES:DATA PROCESSING + STORAGE
LOCATION:Lotus 3 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:8e24d5bdddab99a822555497ee8380f5
URL:http://kccncind2026.sched.com/event/8e24d5bdddab99a822555497ee8380f5
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T090000Z
DTEND:20260619T093000Z
SUMMARY:Ready\, Set\, Go: WASM-Powered Containers Taking Your AI To New Heights - Anshika Tiwari\, Amazon Web Services & Abhineet Saxena\, NUTANIX
DESCRIPTION:With the rise of containerization and edge computing\, the demand for portable\, efficient\, and low-latency solutions is growing. WebAssembly (WASM)\, known for its small size and fast loading\, is expanding beyond the browser into containerized and edge environments. When combined with CNCF projects like Kraken\, WasmEdge Runtime\, and containerd\, WASM can unlock hardware accelerators (GPU\, TPU\, FPGA) to revolutionize AI/ML workloads across both containerized and edge deployments. \n \n In this talk\, we’ll explore: \n \n 1. How Kraken and WasmEdge Runtime enable seamless integration of WASM into containerized environments for enhanced performance. \n 2. Showcasing WASM-powered containers running AI workloads across various hardware platforms. \n \n By the end of this talk\, you'll know how to take your containerized and edge AI/ML workloads to the next level with speed\, portability\, and hardware acceleration.
CATEGORIES:EMERGING + ADVANCED
LOCATION:205 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:50a051c252de37aa7301105e65f8aa92
URL:http://kccncind2026.sched.com/event/50a051c252de37aa7301105e65f8aa92
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T090000Z
DTEND:20260619T093000Z
SUMMARY:Scaling the Developer Frontier: The TAG DevEx Roadmap for 2026 - Daniel Oh & Kevin Dubois\, IBM
DESCRIPTION:As the cloud native ecosystem matures\, the focus has shifted from "making it run" to "making it easy." For the maintainers of TAG DevEx\, this means moving beyond philosophy into concrete standards and AI-driven automation. \n \n In this session\, the TAG Developer Experience Co-Chairs will pull back the curtain on the scope defining the next era of developer productivity. We will dive deep into our key initiatives and subprojects\, including the Cloud Native Adoption Framework\, Application Integration Dependency Specification\, a new standard for declaring how apps interact with cloud services\, and our research into Agentic AI’s role in the inner loop. Attendees will gain a clear framework for adopting a "Developer-First" mindset within their own projects\, backed by real-world data on secure coding adoption and contributor friction. Join us to see how we are building the blueprints for the next decade of cloud native development.
CATEGORIES:MAINTAINER TRACK
LOCATION:204 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:1ddf053bf79f91ad9b123702eabd63cd
URL:http://kccncind2026.sched.com/event/1ddf053bf79f91ad9b123702eabd63cd
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T090000Z
DTEND:20260619T093000Z
SUMMARY:How We Stopped a Crypto-mining Attack in Kubernetes Caused by a Next.js RCE - Achanandhi M & Tamil Vanan Karuppannan
DESCRIPTION:Modern frameworks help teams move fast\, but a single vulnerability can quickly escalate into a serious security incident.\n\nIn this talk\, we simulate a real-world attack scenario where a publicly disclosed RCE vulnerability in Next.js is exploited to deploy crypto-mining workloads inside a Kubernetes cluster. We demonstrate how an application-level vulnerability can quickly escalate into a cluster-wide threat - and how to prevent it before it does.\n\nWe’ll break down how such an attack unfolds\, the runtime indicators that can expose it\, and why patching the application alone isn’t enough.\n\nWe’ll then demonstrate how to stop this class of attack using Falco for runtime threat detection and Kyverno for policy enforcement - detecting malicious activity\, blocking misuse\, and limiting blast radius.\n\nFinally\, we’ll share Kubernetes security best practices including resource limits\, workload isolation\, security policies\, and improved runtime visibility to help teams better secure their clusters.
CATEGORIES:SECURITY
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:cbbc531c7e7bcaac454cc44dff7013d1
URL:http://kccncind2026.sched.com/event/cbbc531c7e7bcaac454cc44dff7013d1
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T093000Z
DTEND:20260619T094500Z
SUMMARY:Learning Lounge: CNPA or CNPE? Roles\, Skills & Which One is Right For You! - Fazlur Rahman Khan\, Linux Foundation Education
DESCRIPTION:Tip Talk
CATEGORIES:SOLUTIONS SHOWCASE
LOCATION:Jasmine 1 (Level 3) | Booth G3\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:4a60110b65426e00d74b5bf1da3749e9
URL:http://kccncind2026.sched.com/event/4a60110b65426e00d74b5bf1da3749e9
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T094000Z
DTEND:20260619T101000Z
SUMMARY:From Flaky Builds to Self-Healing Deployments: An OTel-Driven CI/CD Tale - Chamod Perera\, Circles & Shivay Lamba\, CNCF Ambassador
DESCRIPTION:This session is based on real production experience building and operating an observability-driven CI/CD platform using CNCF projects. It shows how OpenTelemetry can extend beyond application monitoring to become a core primitive for modern CI/CD systems.While running dozens of Kubernetes clusters and handling 60M+ requests per minute\, costly east-west network load balancers and fragmented CI metrics created blind spots that hid deployment failures. Traditional dashboards showed healthy systems\, while rollouts quietly broke.We share how treating Jenkins pipelines as distributed systems enabled end-to-end tracing across builds\, deployments\, and runtime behavior. By correlating CI signals with OpenTelemetry traces\, we detected cascading failures and closed the loop with automated GitOps rollbacks. The talk covers real challenges\, trade-offs\, and lessons learned to build reliable\, self-healing delivery pipelines.
CATEGORIES:APPLICATION DEVELOPMENT
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:93e960f4698861b2a0c8839f0e791716
URL:http://kccncind2026.sched.com/event/93e960f4698861b2a0c8839f0e791716
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T094000Z
DTEND:20260619T101000Z
SUMMARY:From Textbooks To YAML: Mapping Your CS Degree To the Cloud Native World - Parvathy Nair\, Adi Shankara Institute of Engineering and Technology & Sudhish Nair\, Red Hat
DESCRIPTION:Students graduate with strong OS and Networking knowledge but often feel lost facing the "Wall of YAML" in Cloud Native. They understand "Processes" and "TCP/IP" but struggle to connect them to "Pods" and "Service Meshes." \n \n This session features a University Professor and a Industry Expert strictly mapping standard Computer Science curriculum to Kubernetes primitives. We will translate three core domains live on stage: \n \n Compute: Moving from OS-level fork()/exec() to Containers\, and mapping Process Groups to Pods. \n \n Networking: Translating the OSI Model and physical switching to CNIs\, Services\, and Ingress. \n \n Storage: Mapping Block Devices and File Systems to Persistent Volumes (PVs)\, Claims (PVCs)\, and CSI. \n \n Attendees will leave with a mental bridge connecting their academic foundation to modern cloud architecture\, realizing they already possess the core knowledge required—they just need to learn the new vocabulary.
CATEGORIES:CLOUD NATIVE NOVICE
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:51c69915380dbd19afc0e6070e3a78ed
URL:http://kccncind2026.sched.com/event/51c69915380dbd19afc0e6070e3a78ed
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T094000Z
DTEND:20260619T101000Z
SUMMARY:Why We Ditched Kube-proxy: Scaling 10M Daily Browser Sessions With Kubernetes EndpointSlices - Rajat Khanna\, CommerceIQ
DESCRIPTION:At CommerceIQ\, we scrape 850+ retailers daily through Kubernetes-orchestrated headless browsers — 10M pages\, thousands of ephemeral pods per hour. This talk covers when our networking broke at scale and how we fixed it with native Kubernetes. At 8K+ concurrent pods\, kube-proxy's iptables rules and conntrack exhaustion caused latency spikes. We bypassed kube-proxy with direct pod-to-pod routing via the EndpointSlice API — achieving 40% latency improvement while handling stale endpoints and scale-up race conditions. We also built custom HPA metrics tied to scrape queues\, scaled from 4K to 16K concurrent scrapes with spot VMs\, and used MinIO as in-cluster cache to cut egress by 60%. No fancy tooling — just deep Kubernetes knowledge solving hard problems with what's already there.
CATEGORIES:CONNECTIVITY
LOCATION:Lotus 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:4c6332dbb306b5471fab9c21e4109563
URL:http://kccncind2026.sched.com/event/4c6332dbb306b5471fab9c21e4109563
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T094000Z
DTEND:20260619T101000Z
SUMMARY:Feast as a Cloud Native Data System: Bridging Batch Processing and Online Serving on Kubernetes - Nikhil Kathole\, Red Hat
DESCRIPTION:Modern AI and GenAI platforms running on Kubernetes depend on derived data that must be processed in batch and served with low latency. Teams often stitch together data processing engines\, object stores\, databases\, and caching layers\, creating operational complexity and inconsistent data access patterns. This session presents Feast as a cloud native data system that bridges batch processing and online serving on Kubernetes. We explore how Feast integrates with Kubernetes-native data engines such as Spark and Ray\, reuses existing data lakes and warehouses as offline stores\, and materializes data into online stores optimized for real-time access. Using Open Data Hub and the Feast Operator\, the talk demonstrates a Kubernetes-native architecture for managing data pipelines. Attendees will learn practical design patterns and operational trade-offs for building scalable\, cloud native data platforms that support ML and RAG workloads without introducing new data silos.
CATEGORIES:DATA PROCESSING + STORAGE
LOCATION:Lotus 3 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:7962cc7bb0fc42136451004bd7373bbc
URL:http://kccncind2026.sched.com/event/7962cc7bb0fc42136451004bd7373bbc
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T094000Z
DTEND:20260619T101000Z
SUMMARY:When Kubernetes Becomes an Interface\, Not a Cluster - Samarth Sharma\, DataGenie & Goutam Verma\, Expedia
DESCRIPTION:We often treat Kubernetes as a system you must continuously run and operate. But in practice\, many teams interact with Kubernetes primarily as an API contract rather than as an always on control plane. \n In this talk we'll explore a different way to think about Kubernetes\, what if the Kubernetes API mattered more than the cluster itself? \n \n Instead of running a full control plane with etcd\, schedulers\, and nodes\, workloads are executed locally using lightweight runtimes\, while applications continue to interact through Kubernetes-style APIs. \n \n We'll see: \n \n =&gt\; Which Kubernetes components are actually required to run workloads \n =&gt\; Running workloads without etcd\, schedulers\, or nodes \n =&gt\; Local-first execution with Kubernetes-compatible APIs \n =&gt\; Clear limitations and failure modes of this approach \n =&gt\; What this model enables for edge\, disaster recovery\, and local development \n \n The goal is not to replace Kubernetes\, but to understand which parts of it are essential and which are incidental. with a demo
CATEGORIES:EMERGING + ADVANCED
LOCATION:205 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:87ce618d06b0cd2e5f72e909d1bd3c80
URL:http://kccncind2026.sched.com/event/87ce618d06b0cd2e5f72e909d1bd3c80
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T094000Z
DTEND:20260619T101000Z
SUMMARY:Using Buildpacks To Reduce Container Bloat and Attack Surface - Sai Bharadwaj Avvari\, Salesforce
DESCRIPTION:Stop drowning in CVEs for unnecessary components. 87% of container vulnerabilities hide in packages never loaded at runtime\, inflating security backlogs and enabling "Living off the Land" attacks. \n \n Adopting minimal base images often triggers the "Middle-Tier Trap" at scale. If 100 microservices share a custom dependency\, platform teams must either bloat the global corporate base image or force developers to maintain fragmented\, unpatched Dockerfiles. \n \n In this session\, we will break the patching treadmill using Cloud Native Buildpacks (CNB) to architect a federated "Patching Waterfall." Attendees will learn: \n - Tiered Inheritance: Using CNB Custom Builders to compile and cache heavy\, domain-specific dependencies exactly once. \n - OS Rebasing: Leveraging CNB's superpower to instantly swap the underlying OS for hundreds of apps in milliseconds\, flowing security patches without triggering application rebuilds. \n - Day-2 Ops: Securely debugging "distroless" builds via Ephemeral Containers.
CATEGORIES:MAINTAINER TRACK
LOCATION:204 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:a3cd48e441377faded90818c8f87e7b0
URL:http://kccncind2026.sched.com/event/a3cd48e441377faded90818c8f87e7b0
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T101000Z
DTEND:20260619T104000Z
SUMMARY:Coffee Break ☕
DESCRIPTION:Coffee\, Tea\, Water\n\nCookies\n(Contains Milk\, Wheat\, Soy\, Sesame\, Nuts (cashew\, almond)
CATEGORIES:BREAKS
LOCATION:Jasmine 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:9fb7a99fccdc373e2b1062dd794cf7bb
URL:http://kccncind2026.sched.com/event/9fb7a99fccdc373e2b1062dd794cf7bb
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T104000Z
DTEND:20260619T111000Z
SUMMARY:So You Want To Run AI Agents on Kubernetes: A 101 Guide - Rajas Kakodkar\, Broadcom
DESCRIPTION:Your platform team is trying to integrate AI workloads\, your developers want to deploy agents and your leadership expects 10x efficiency with AI but when you dig into the specifics\, the terminology becomes a maze: AI Agents\, MCP Servers\, and Dynamic Resource Allocation (DRA). Where do you even start? This session is centered around what problem each of these solve. In this hands-on 101 guide I will start by demystifying how AI agents operate on Kubernetes—how they interact with workloads\, the role of MCP servers in enabling multi-agent coordination\, and the fundamentals of DRA for intelligent resource management. Then\, I will bring it all together with a live demo showing how AI agents can dynamically tune DRA drivers to optimize scheduling and resource usage in real time. Whether you’re an engineer\, researcher\, or just Kubernetes-curious\, this session will equip you with the foundational knowledge and confidence to start experimenting with agentic and adaptive systems on Kubernetes.
CATEGORIES:AI + ML
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:94151f12557827d2f8c9e84982576328
URL:http://kccncind2026.sched.com/event/94151f12557827d2f8c9e84982576328
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T104000Z
DTEND:20260619T111000Z
SUMMARY:Phippy’s First Steps Into Kubernetes - Hrittik Roy\, vCluster & Saloni Narang\, Kubesimplify
DESCRIPTION:For many engineers entering the cloud native ecosystem\, the journey with Kubernetes begins on their own laptop. They install a local cluster\, follow a tutorial\, and try to understand how things work. This first step is important\, but it is also where confusion often starts. Today\, newcomers face many tools\, such as Minikube\, Kind\, k3d\, Vind\, Docker Desktop\, and Rancher Desktop. All of them promise Kubernetes on your machine\, but each one is built for a different purpose. Without clear guidance\, people often spend more time fixing setup problems than learning Kubernetes itself. In this session\, we will simplify local Kubernetes for beginners in the cloud native space\, guided by Albert Einstein’s idea that “everything should be made as simple as possible\, but not simpler.” Through simple demos and practical examples\, we will cover how local Kubernetes clusters work behind the scenes\, how to avoid common setup mistakes\, and how local environments connect to real production systems.
CATEGORIES:CLOUD NATIVE NOVICE
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:c22133b6578e70d05d322f0eec6efe3a
URL:http://kccncind2026.sched.com/event/c22133b6578e70d05d322f0eec6efe3a
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T104000Z
DTEND:20260619T111000Z
SUMMARY:Validating RK3588 for KubeEdge: Scalable ARM64 Edge Node Simulation Without Hardware - Sachin Jha\, CNCF(KubeEdge)
DESCRIPTION:In this session\, I’ll share how I validated support for the RK3588 ARM64 chip in KubeEdge—without using any physical hardware. Instead of relying on real devices\, I built a simulation-based setup that mimics how an RK3588-powered edge node behaves inside KubeEdge. I’ll walk through the practical steps: how the environment was emulated\, how pods were tested\, and how metrics\, node status\, and edge-core behavior were verified. Along the way\, I’ll also highlight the challenges\, what worked\, what didn’t\, and the key lessons that made the process smoother. If you’re interested in edge computing\, ARM devices\, or contributing to KubeEdge without access to specialized hardware\, this talk will give you a clear\, realistic\, and easy-to-follow blueprint.
CATEGORIES:EMERGING + ADVANCED
LOCATION:205 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:8d80b1f897128d65d7619dd9be7e9eee
URL:http://kccncind2026.sched.com/event/8d80b1f897128d65d7619dd9be7e9eee
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T104000Z
DTEND:20260619T111000Z
SUMMARY:Inside Kubernetes SIG Contributor Experience (ContribEx) - Prajyot Parab\, IBM; Avni Mahajan\, Speedybyte; Swathi Rao\, Kubernetes 1.37 Comms Lead; Nabarun Pal\, Broadcom
DESCRIPTION:When a large open source community feels approachable before you understand how it works\, that sense of welcome is shaped by small choices that rarely get the spotlight yet influence how people participate. Within Kubernetes\, much of this work lives in SIG Contributor Experience. \n \n This talk brings together contributors from New Contributor Orientation (NCO)\, community moderation\, contributor-site\, and contributor-comms. Each area reflects a careful balance: guiding newcomers\, caring for shared spaces\, and communicating updates in ways people can follow and use. \n \n We center the human moments behind this work. \n \n The first NCO session where someone found the confidence to speak. The responsibility of moderating large public community platforms\, and the steady effort behind content and communications that help contributors understand what is changing\, why it matters\, and where they can step in. \n \n These everyday decisions shape whether people feel supported enough to stay and contribute.
CATEGORIES:MAINTAINER TRACK
LOCATION:204 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:a18836112da45cbe3d289e8ca429a501
URL:http://kccncind2026.sched.com/event/a18836112da45cbe3d289e8ca429a501
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T104000Z
DTEND:20260619T111000Z
SUMMARY:Kubernetes API Server Performance Clinic: Auditing\, and Priority & Fairness in Production - Neel Shah\, Middleware & Suman Chakraborty\, Platform9 Systems
DESCRIPTION:The Kubernetes API Server is the heart of your cluster\, but at scale\, it often becomes a hidden bottleneck\, throttling critical controllers\, freezing deployments\, or crashing under "thundering herd" list-watch storms. This talk is a deep-dive operational clinic for SREs running high-throughput clusters (10k+ pods) who need to move beyond default configurations. Attendees will learn how to dissect API latency using Audit Logs and Prometheus metrics (apiserver_request_duration_seconds) to identify "noisy neighbor" controllers that starve critical system components. We will dissect the Priority and Fairness (APF) flow control system\, replacing legacy-- max-requests-inflight to guarantee that critical system calls (like node heartbeats) never get dropped\, even during massive scale-up events. The session includes a live "autopsy" of a real-world API outage caused by unoptimized LIST calls and demonstrates how to fix it using API Streaming (WatchList)\, proper client-side caching\, and more.
CATEGORIES:OPERATIONS + PERFORMANCE
LOCATION:Lotus 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:32b1ef789bd820fd72b88f98724ab448
URL:http://kccncind2026.sched.com/event/32b1ef789bd820fd72b88f98724ab448
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T104000Z
DTEND:20260619T111000Z
SUMMARY:The Leapfrog Upgrade Playbook: Upgrading When You’re Years Behind - Yug Gupta\, Walmart Global Tech
DESCRIPTION:This is a story of how Walmart Leapfrogged 11 Kubernetes Releases Without Customer Downtime. If that sounds impossible\, wait untill you see the constraints: Millions of k8s resources\, an etcd database nearing ~7GB\, and a version gap so wide that “just upgrade” wasn’t a plan. We needed a method that was safe across API removals\, predictable under extreme object counts\, and repeatable enough to become a standard operating procedure. Attendees will learn: (1) how to preflight deprecated APIs and CRDs using upstream guidance (2) how to design restore ordering and “selective restore” boundaries to avoid bringing back broken objects\, (3) how to tune API server concurrency so backup/restore doesn’t become a self-inflicted outage\, and (4) how to validate correctness and plan rollbacks. This is a field guide for anyone who’s fallen far behind and needs a safe way forward without betting production on a one-shot upgrade. No secret sauce\, just the hard-earned physics of Kubernetes at scale.
CATEGORIES:OPERATIONS + PERFORMANCE
LOCATION:Lotus 3 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:41fd06fbd9bab37a114ebca19e174ef6
URL:http://kccncind2026.sched.com/event/41fd06fbd9bab37a114ebca19e174ef6
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T112000Z
DTEND:20260619T115000Z
SUMMARY:LLMs Behind Bars: Sandboxes at Scale for AI on a Short Leash - Prashanth Pai\, CodeRabbit
DESCRIPTION:LLMs can write code - and sometimes running that code is the most direct way to deliver product value. The moment you do\, you’ve effectively introduced a remote-code-execution surface: the code is untrusted by default\, but the system still has to execute it to stay useful. \n \n In this talk\, we’ll share what it took to build and operate production sandboxes for LLM-generated code at scale. We’ll cover the isolation model (containers\, least-privilege defaults\, syscall/filesystem restrictions)\, the operational reality (startup latency\, resource limits\, cold starts\, observability)\, and the guardrails that matters when code or users try to misbehave. We’ll also dig into data protection: locking down egress\, blocking exfiltration paths\, and keeping secrets out of reach. \n \n We’ll cover what worked\, what failed\, and what we’d do differently - ending with a practical\, vendor-agnostic mental model and checklist you can apply.
CATEGORIES:AI + ML
LOCATION:205 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:abfece8b2d561ed0a34aae0ff42b0970
URL:http://kccncind2026.sched.com/event/abfece8b2d561ed0a34aae0ff42b0970
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T112000Z
DTEND:20260619T115000Z
SUMMARY:The Hidden Cost of ML Data Lifecycles in Kubernetes - Yashasvi Misra\, Pure Storage
DESCRIPTION:As ML workloads move onto Kubernetes\, many teams unintentionally turn their clusters into data platforms storing training data\, features\, and intermediate artifacts alongside compute. While convenient at first\, this approach introduces hidden costs that surface over time. This talk shares real-world lessons from operating ML pipelines on Kubernetes where data management\, not models\, became the primary source of failures. We’ll explore common anti-patterns involving PVCs\, object storage mounts\, and ephemeral volumes\, and how they led to rising costs\, broken reproducibility\, and pipelines training on stale or incorrect data. Finally\, we’ll discuss practical cloud-native patterns for managing ML data that respect data lifecycles\, improve lineage\, and keep Kubernetes focused on what it does best.
CATEGORIES:AI + ML
LOCATION:Jasmine 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:d12f77c71699c21e75601015ea7ad38d
URL:http://kccncind2026.sched.com/event/d12f77c71699c21e75601015ea7ad38d
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T112000Z
DTEND:20260619T115000Z
SUMMARY:The Death of the YAML-Engineer: Engineering "Invisible" Platforms With Crossplane and Score - Abhinav Sharma & Mumshad Mannambeth\, KodeKloud
DESCRIPTION:"I just want to ship my code". Every developer says it\, but few organizations achieve it. Instead\, developers spend 30% of their time wrestling with 1\,000-line Helm charts and complex Terraform modules. This is the "YAML Tax"\, and it's killing engineering velocity. \n \n This session shares how we abolished the YAML Tax at scale. We’ll demonstrate how to build an "Invisible Platform" where developers use Score - a workload-centric specification - to describe what their app needs\, while Crossplane dynamically provisions the how across multi-cloud environments. \n \n Attendees will learn the blueprint for: \n 1. Contract-Driven Development: Using Score to decouple the application's requirements from the environment’s implementation. \n 2. The Control Plane Shift: Replacing brittle CI/CD pipelines with Crossplane's continuous reconciliation loop for cloud resources. \n 3. Developer Joy at Scale: How we reduced onboarding time from weeks to minutes by hiding Kubernetes complexity behind a single score.yaml.
CATEGORIES:APPLICATION DEVELOPMENT
LOCATION:Lotus 3 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:60cf7e30d9c3bb6647c3233ec8a475a3
URL:http://kccncind2026.sched.com/event/60cf7e30d9c3bb6647c3233ec8a475a3
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T112000Z
DTEND:20260619T115000Z
SUMMARY:etcd in 2026: Enhancements\, V3.7 Roadmap\, and Community Growth - Lavish Pal\, Independent; Arka Saha\, Broadcom; Josh Berkus\, Red Hat; Guna K Kambalimath\, IBM
DESCRIPTION:Whether you know it or not\, as a Kubernetes user\, you are also an etcd user. Join us to learn a little about the SIG and database\, followed by recent changes and etcd’s future roadmap. \n \n First\, we’ll fill the audience in about etcd and its place in the Cloud Native universe. Then\, we'll go over changes to etcd in the last year\, including 3.4 downgrade support\, the v3store migration (and problems)\, performance enhancements\, livez/readyz\, and more. We'll even have a few demos. Next\, we'll talk about the v3.7 roadmap\, including image registry update\, range stream\, RAFT async writes\, and diagnostic tooling. We'll also provide an update on the robustness tests and Go workspace support. We’ll also share our progress on building the official etcd operator. \n \n Attendees will not only learn about the state of etcd\, but also how to contribute.
CATEGORIES:MAINTAINER TRACK
LOCATION:204 (Level 2)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:854c3370c8057543c82f50dc2f8466ac
URL:http://kccncind2026.sched.com/event/854c3370c8057543c82f50dc2f8466ac
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T112000Z
DTEND:20260619T115000Z
SUMMARY:Kubernetes Workload Resiliency in Action: Beyond Basics - Nabarun Pal & Akhil Mohan\, Broadcom
DESCRIPTION:Kubernetes provides powerful mechanisms to protect and isolate workloads\, but many teams deploy applications without leveraging these capabilities. In the context of AI workloads\, which are often resource-intensive and long-running\, maintaining resilience is more critical than ever. \n \n This talk explores Kubernetes workload protection mechanisms and demonstrates how to combine them strategically for maximum resilience. \n \n We'll examine resource requests/limits\, priority classes\, resource quotas\, runtime classes\, and strategies like pod disruption budgets and affinity rules. Through practical examples and real-world scenarios\, you'll learn how to configure each mechanism\, understand their interactions\, and avoid common pitfalls that lead to pod evictions\, performance degradation\, and cascading failures. \n \n Whether you're running mission-critical services or shared multi-tenant clusters\, this session will equip you with a resilience framework that protects your workloads under pressure.
CATEGORIES:OPERATIONS + PERFORMANCE
LOCATION:Lotus 2 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:13224e39879aff7d430b28b5cb8d495c
URL:http://kccncind2026.sched.com/event/13224e39879aff7d430b28b5cb8d495c
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T112000Z
DTEND:20260619T115000Z
SUMMARY:Zero Trust for Fintech: Building Secure Banking Infrastructure With Cilium - Prasta Maha & Herbert Sianturi\, Krom Bank Indonesia
DESCRIPTION:In the highly regulated world of banking\, "security by default" isn't just a buzzword\, but it is a compliance requirement. As financial institutions migrate to Kubernetes\, they face a critical challenge: How do you enforce strict network segregation\, achieve Zero Trust\, and maintain deep observability. This session explores how to leverage Cilium and eBPF to build a battle-hardened banking infrastructure. We will move beyond standard Kubernetes Network Policies\, demonstrating how to implement Layer 7 filtering\, transparent encryption\, and deep observability in service communications. Attendees will receive a practical roadmap for: - Enforcing Zero Trust: Using Cilium Network Policies to restrict traffic based on identity and fqdn\, not just IP addresses. - Achieving Compliance: implementing Transparent Encryption (WireGuard/IPsec) to meet data-in-transit requirements. - Auditing: Utilizing Hubble for deep visibility into dropped packets and flow logs to satisfy security audits.
CATEGORIES:SECURITY
LOCATION:Lotus 1 (Level 3)\, Mumbai\, Maharashtra\, India
SEQUENCE:0
UID:9be58b11d7861306b4a90a4e9b6fca92
URL:http://kccncind2026.sched.com/event/9be58b11d7861306b4a90a4e9b6fca92
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260618T233530Z
DTSTART:20260619T123000Z
DTEND:20260619T163000Z
SUMMARY:OpenStack & StarlingX Meetup hosted by OpenInfra Foundation | SEPARATE REGISTRATION REQUIRED
DESCRIPTION:Join the OpenInfra community in India for an evening discussing the technologies powering modern infrastructure: OpenStack and StarlingX. Connect with fellow operators\, developers\, architects\, and open source enthusiasts for an informal gathering featuring networking\, great food\, and conversations about the future of cloud\, edge computing\, AI infrastructure\, and open source innovation. Whether you're a longtime contributor or just getting started with OpenInfra technologies\, this is a great opportunity to meet peers\, exchange ideas\, and celebrate the vibrant community building the next generation of infrastructure together. RSVP required.&nbsp\;\nPlease note that this is an off-site Sponsor-hosted Co-located event.\nFor more information on the event and to register: https://openinfrafoundation.formstack.com/forms/openstack_starlingx_meetup_india&nbsp\; &nbsp\;\nFor questions regarding this event\, please contact:&nbsp\;events@openinfra.org&nbsp\;\n
CATEGORIES:SPONSOR-HOSTED CO-LOCATED EVENT
LOCATION:Pondichéry Café at the Sofitel Mumbai\, C 57\, G Block BKC\, Bandra Kurla Complex\, Bandra East\, Mumbai\, Maharashtra 400051\, India
SEQUENCE:0
UID:405d35944787c1658182a36a53267c0f
URL:http://kccncind2026.sched.com/event/405d35944787c1658182a36a53267c0f
END:VEVENT
END:VCALENDAR