KubeCon + CloudNativeCon India 2024

SIG-etcd are hard at work on scaling & safeguarding etcd, but we need your help and feedback! This deep dive session will explore current & future etcd development efforts to share with both etcd & Kubernetes users & contributors. In particular we’ll focus on: Feature gates: - Reviewing recent KEPs for server & cluster level etcd feature gates. - How feature gates enable gradual rollouts, minimizing risk and breaking changes. etcd Operator Working Group: - Discuss progress and next steps for the official etcd Operator release. Tackling compaction correctness - A post-mortem of the recent etcd watch correctness issue & resolution. Github Actions migration: - Prowjob Adoption - Consistent e2e tests across minor versions Community Update: - Update on the growth of the etcd community and project news. Join our etcd maintainers and contributors to learn about these recent developments & future plans, including how you can contribute to them.

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 a 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.

In the dynamic landscape of cloud-native applications, resilience is essential to maintaining business continuity and user satisfaction. Resilience Probes play a crucial role in validating Service Level Agreements (SLAs) during Chaos Experiments. These versatile probes can perform checks across various layers of the stack, offering automated, and declarative validations. They can interact with APIs, K8s resources, and system commands, giving a thorough perspective on system health. Moreover, an effortless integration with observability platforms such as Prometheus, facilitates both standard and custom validation of system performance. In this talk, we will discuss how LitmusChaos-based Resilience Probes streamline SLA validation, and enable continuous monitoring. We'll explore real-world examples of probes uncovering hidden weaknesses and ensuring resilience against unpredictable failures. We also discuss a chaos engineering end-user use case shared by LitmusChaos user Baazi Games.

Welcome to Cilium's maintainer track session where you'll get an update on how Cilium is expanding the frontiers of cloud native networking, observability, and security. Cilium is CNCF's most widely adopted CNI, being the default choice for all major cloud providers. This talk dives into the bytecode behind all of the buzz around the project. We'll start with a brief overview of each part of the project before diving into how Cilium is expanding beyond Kubernetes with load balancing and multi-cloud networking and into runtime enforcement with Tetragon. Hear from Cilium contributors and users Isovalent and Flipkart.

SIG Contributor Experience has been wildly successful in helping grow the contributor base of Kubernetes in the first ten years of the project via New Contributor Workshops. We stressed on the importance of growing existing contributors in our last maintainer track session. However, the other side of the sustainability coin is ensuring that contributors who get started with contributing to Kubernetes, actually stick around. A lot has changed in the last decade, and we also need to change how we teach folks to contribute and interact with the community. Join us as we give a comprehensive overview of the Kubernetes governance and community structure, where you can seek help and what some pitfalls are that you will unexpectedly but inadvertently face in your contributor journey. We will highlight areas that are suited for folks from all backgrounds: marketing, content creation, event planning, community elections, automation and so much more!

In the newer world of generative AI models, enterprises bet on integrating large language models into their various business use cases.  Due to the complex infrastructure requirements of large language models, building scalable optimized end-to-end GenAI pipelines connecting data and compute is not easy compared to traditional machine learning models. Cluster admins need better visibility into infrastructure to ensure the best utilization of cluster resources, including expensive accelerators. In contrast, data scientists need a clean Pythonic interface without exposure to any underlying stack details. In this talk, we will cover how the Kubeflow Platform helps in LLMOps journey from training an LLM on the custom dataset to fine-tuning the pipeline for the best results and, finally, deployment of the trained models at scale.  We will discuss an optimized Kubernetes native ML reference stack for your LLM needs that provides maximum infra utilization.