KubeCon + CloudNativeCon India 2026: Full Schedule

18-19 June
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Please note: This schedule is automatically displayed in India Standard Time (UTC+5:30). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis.

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12:00pm IST

Inference in Progress… Please Monitor Responsibly - Gaurav Sharma, NVIDIA

Friday June 19, 2026 12:00pm - 12:30pm IST

Lotus 3 (Level 3)

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.
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.
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.

Speakers

Gaurav Sharma

Senior Site Reliability Engineer, Nvidia

Currently working as Senior SRE for Nvidia AI.
In the past I have been part of SRE teams for Nvidia cloud gaming, Microsoft Azure Reliability, Adobe Analytics & VMware Cloud Services.

Friday June 19, 2026 12:00pm - 12:30pm IST
Lotus 3 (Level 3)

Observability

Content Experience Level Beginner

12:40pm IST

Patients as Time-Series: High-Stakes Clinical Alerting With OpenSearch & K8s - Seema Saharan, Autodesk & Aakanksha Saharan, Independent

Friday June 19, 2026 12:40pm - 1:10pm IST

Lotus 3 (Level 3)

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.

Speakers

Seema Saharan

Senior Site Reliability Engineer, Autodesk

Meet Seema, the tech whiz at Autodesk. She's not just about fixing things – she loves sharing what she knows! Whether speaking at cool events like GitLab Commit, and GitHub Universe or breaking down tech on her YouTube channel, Seema makes the complicated stuff easy and fun. Join... Read More →

Aakanksha Saharan

Student, Independent

Aakanksha is a med student with a strong interest in the intersection of tech and medicine and its potential to drive innovation in healthcare. She is a co-founder of Curaximo, where she explores tech-driven approaches to medicine. She has volunteered with multiple medical organizations... Read More →

Friday June 19, 2026 12:40pm - 1:10pm IST
Lotus 3 (Level 3)

Observability

Content Experience Level Any

2:30pm IST

When the Edge Can’t Afford a Third Node: A Storage Solution for Two-Node Kubernetes Cluster - Parth Arora, IBM

Friday June 19, 2026 2:30pm - 3:00pm IST

Lotus 3 (Level 3)

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.

Speakers

parth arora

Software Engineer, IBM

I am Parth Arora, a software developer specializing in distributed storage systems.
As a Maintainer and developer, I have extensive experience working with Rook, a cloud-native storage orchestrator that enables storage systems like Ceph to be run as a service on Kubernetes. I have contributed to the development of Rook and have worked on projects involving Ceph... Read More →

Friday June 19, 2026 2:30pm - 3:00pm IST
Lotus 3 (Level 3)

Data Processing + Storage

Content Experience Level Beginner

3:10pm IST

Feast as a Cloud Native Data System: Bridging Batch Processing and Online Serving on Kubernetes - Nikhil Kathole, Red Hat

Friday June 19, 2026 3:10pm - 3:40pm IST

Lotus 3 (Level 3)

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.

Speakers

Nikhil Kathole

Principal Software Engineer, Red Hat

Nikhil is a Principal Software Engineer at Red Hat, working on Red Hat OpenShift AI (RHOAI), focused on building Feature Store. He is enthusiastic about Open Source Technologies and previously he contributed to the foreman and fedora communities.

Friday June 19, 2026 3:10pm - 3:40pm IST
Lotus 3 (Level 3)

Data Processing + Storage

Content Experience Level Any

4:10pm IST

The Leapfrog Upgrade Playbook: Upgrading When You’re Years Behind - Yug Gupta, Walmart Global Tech

Friday June 19, 2026 4:10pm - 4:40pm IST

Lotus 3 (Level 3)

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.

Speakers

Yug Gupta

Staff Software Engineer, Walmart Global Tech

Staff Software Engineer @ Walmart Global Tech India
An open source enthusiast, contributing to the kubernetes ecosystem.

Friday June 19, 2026 4:10pm - 4:40pm IST
Lotus 3 (Level 3)

Operations + Performance

Content Experience Level Beginner

4:50pm IST

The Death of the YAML-Engineer: Engineering "Invisible" Platforms With Crossplane and Score - Abhinav Sharma & Mumshad Mannambeth, KodeKloud

Friday June 19, 2026 4:50pm - 5:20pm IST

Lotus 3 (Level 3)

"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.

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.

Attendees will learn the blueprint for:
1. Contract-Driven Development: Using Score to decouple the application's requirements from the environment’s implementation.
2. The Control Plane Shift: Replacing brittle CI/CD pipelines with Crossplane's continuous reconciliation loop for cloud resources.
3. Developer Joy at Scale: How we reduced onboarding time from weeks to minutes by hiding Kubernetes complexity behind a single score.yaml.

Speakers

Abhinav Sharma

Site Reliability Engineer, KodeKloud

I am a Senior Site Reliability Engineer at KodeKloud . I am an Open source contributor, evaluating and contributed in various open source tools and projects, such as, Microsoft's Open source libraries, OpenCV, SUSE, etc. I was also a Google Summer of Code contributor 2022 and a GitHub... Read More →

Mumshad Mannambeth

Trainer, KodeKloud

Friday June 19, 2026 4:50pm - 5:20pm IST
Lotus 3 (Level 3)

Application Development

Content Experience Level Any

12:00pm IST

12:40pm IST

2:30pm IST

3:10pm IST

4:10pm IST

4:50pm IST

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