KubeCon + CloudNativeCon India 2024

Have you felt left out of Kubernetes development because you're not a GoLang expert? The good news is you don’t need to be. While GoLang has traditionally been the go-to language for creating Kubernetes-native tools like Helm, Argo CD, and Prometheus, Kubernetes is language-agnostic and can be interacted with via its declarative REST API in any language. This session will explore the growing ecosystem of Kubernetes application development beyond Go. We’ll review popular Kubernetes libraries and frameworks in languages like Python, JavaScript, and Java. To illustrate, we’ll demo the Java Operator SDK, showcasing how to build Kubernetes applications without relying on Go. Whether you code in Python, JavaScript, or Java, this talk will give you the tools and confidence to develop Kubernetes-native applications in your preferred language.

Embark on a journey to supercharge your Go applications targeting WebAssembly by harnessing the profiling capabilities of pprof and wzprof. This session unravels the intricacies of optimizing Go-powered web applications for maximum performance. Discover how pprof provides deep insights into CPU and memory usage, forming the foundation of our optimization journey. Complementing pprof, wzprof, tailored for WebAssembly, offers streamlined performance analysis during module execution. Through practical demonstrations, learn how pprof and wzprof work together to resolve performance bottlenecks, optimize computations, and manage memory effectively. This talk equips both seasoned Go developers and WebAssembly newcomers with essential tools and techniques to maximize application efficiency and speed.

Rolling out a new service, adding databases clusters, are always challenging. The recommended way is to start with diverting small % of traffic to the new service and increase rollout % if things look well. If things don’t go well, the rollout % should be reduced. This is generally done through feature flags and manually monitoring the service with an observability tool. Feature flags enable remote update of rollout % without doing new deployments. OpenFeature is a new CNCF project which is trying to standardise feature flagging. It also has built-in hooks for OpenTelemetry so that feature flag values are available by default in tracing & metrics data captured by OpenTelemetry. In this talk, I will share how you can leverage open standards like OpenFeature (for feature flagging) and OpenTelemetry ( for observability) to better manage rollouts. You can enable automatic increase or decrease of rollout % by tying observability with feature flagging.

The rapidly evolving landscape of Machine Learning and Large Language Models demands efficient scalable ways to run distributed workloads to train, fine-tune and serve models. Ray is an Open Source framework that simplifies distributed machine learning, and Kubernetes streamlines deployment. In this introductory talk, we'll uncover how to combine Ray and Kubernetes for your ML projects. You will learn about: - Basic Ray concepts (actors, tasks) and their relevance to ML - Setting up a simple Ray cluster within Kubernetes - Running your first distributed ML training job