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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!
But does every secondary resource need to be watched?
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.
A software engineer with a history of working in Cloud Native and Containerization technologies since 2020, with a passion towards contributing to open-source technologies. I love playing Diablo and Guitar in my leisure.
Software engineer at IBM ISDL with a work experience of 5 years. Involved the development of VPC Block CSI driver in IBM Cloud. My expertise is in Golang, C++, systems, monitoring and alerting tools. Contributor to the opensource kubernetes signature community. Current work involves ODF and ceph deployment/support on IBM PowerVS infrastructure... Read More →
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.
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.
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.
Kevin Dubois is often featured as a (keynote) speaker at conferences around the world, where he shares his passion and knowledge about developer experience, open source, cloud native development and Java. He is also an author, java Champion, and an accomplished software architect... Read More →
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:
Adopted KubeVela as a universal platform interface
Developed a componentized model so developers declare needs, not implementation
Created reusable traits that auto-inject observability, compliance, and best practices
Reduced cognitive load and boosted application quality
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.
Senior Technical Product Manager - Cloud Platform, Guidewire Software, India
Driving Cloud-native platform engineering product strategy for KubeVela, OAM at Guidewire. Ex-AWS Containers Specialist, helped Enterprise customers to optimize Kubernetes workloads on EKS at scale. Passionate about AI/ML on Kubernetes and CNCF projects.
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.
Dhruv Jain is a Lead Software Engineer at Gojek, where he focuses on building and scaling MQTT infrastructure that handles millions of concurrent connections across Southeast Asia. Beyond his work at Gojek, he is an active contributor to the open-source community and Google Summer... Read More →
