AI agents in your kubernetes cluster: Troubleshooting at scale, 24/7

Running Kubernetes on AWS can feel like endless firefighting pods crash, add-ons break, dashboards overwhelm. 

What if an AI teammate could spot issues, explain them in plain English, and even suggest the fix?

In this talk, you’ll see how AI assistants transform EKS operations from reactive firefighting to proactive problem solving. Expect live demos, practical takeaways, and a glimpse into a smarter, calmer way to run your clusters.

Who is this talk for?

  • Senior developers, platform engineers, and DevOps teams building or managing Kubernetes (k8s) platform.

  • Engineering managers curious about applying AI to operations.

  • Anyone who wants to understand about AI agents for a platform use-case.

What will attendees take away?

  • Understand how AI agents are built and used.

  • Access a GitHub repository with agent code that can be used directly in their own environments.

  • Learn about Kagents and how they enable self-service on the platform.

Dipin has dark hair and a beard. He is wearing a black tshirt and a grey blazer, and slightly smiling at the camera.

Dipin Thomas

He/him
Lead Engineer @ Xero

Dipin Thomas is a DevOps Lead Engineer at Xero with over 12 years of experience in cloud infrastructure, Kubernetes, and automation. He has delivered talks at major events including NZ AWS Community Day 2025,  Black Hat Asia (2023), Voxxed Days Singapore (2019)  and Cloud Expo Asia. 

Known for his pragmatic and engaging style, Dipin shares real-world strategies for scalable infrastructure and developer-friendly platforms.

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