Self-Healing Rollouts: Automating Production Fixes With Agentic AI – Kevin Dubois & Daniel Oh

Video by CNCF [Cloud Native Computing Foundation] via YouTube
Self-Healing Rollouts: Automating Production Fixes With Agentic AI - Kevin Dubois & Daniel Oh

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Self-Healing Rollouts: Automating Production Fixes with Agentic AI – Kevin Dubois, IBM & Daniel Oh, Red Hat

Your software rollouts to production are probably always flawless, right? For the rest of us, even with robust CI/CD we do run into occasional production rollout issues. In Kubernetes, Argo Rollouts excels at Progressive Delivery and automated rollbacks, but what if we could go a step further?

This session explores how to elevate your release process by integrating Agentic AI and asynchronous coding agents with canary deployments. We’ll demonstrate how an intelligent agent can automatically analyze a rollout failure, pinpointing the root cause. Beyond diagnosis, these agents can take proactive steps on your behalf, suggesting and even implementing code fixes as new PRs, which can be redeployed automatically after PR review. This approach moves us closer to truly self-healing deployments.

Join us to learn how to combine the power of Kubernetes and Argo Rollouts with the autonomous capabilities of Agentic AI, achieving a release experience that is not only seamless but also resilient.

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