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As a Kubernetes operator, you must have spent countless hours upgrading clusters, deploying complex applications and troubleshooting issues. Have you ever wondered if you could automate this and literally speak to your cluster by asking - Is it safe to upgrade to v1.29? - Why isn’t Node X Ready? Join this session by Rajas and Amine to discover how AI can empower cluster operations with K8s controllers backed by LLMs. Discover the stages of data processing, fine-tuning LLMs and integrating them with K8s controllers and CRDs. And witness the addition of Speech Recognition to the K8s controller to operate clusters. To unravel the myths of AI hype, there will be a live demo to “talk” to K8s controller powered by LLM for - Auditing and upgrading clusters - Simulating Chaos scenarios - Scanning clusters for CVEs - Observability of cluster health The audience will get to know how domain knowledge helps improve AI model accuracy to ensure that it follows data ethics and security principles.
Amine is a Software Development Engineer at Amazon Web Services working on the Kubernetes and Open source related projects for about three years. Amine is a Go, open-source, and Kubernetes fanatic.
Staff Engineer at Broadcom | Tech Lead at CNCF TAG Runtime, Broadcom
Rajas is a staff engineer at Broadcom and a tech lead of the CNCF Technical Advisory Group, Runtime. He is actively involved in the AI working group in the CNCF. He is a Kubernetes contributor and has been a maintainer of the Kube Proxy Next Gen Project. He has also served as the... Read More →
