Development PracticesConference50min
Self-Healing Rollouts: Automating Production Fixes with Agentic AI & Argo Rollouts
This session demonstrates enhancing Kubernetes deployments by integrating Agentic AI with Argo Rollouts. Intelligent agents automatically analyze failures, identify root causes, suggest or implement fixes, generate pull requests, and send notifications—enabling self-healing, resilient, and seamless production rollouts beyond standard progressive delivery and rollback features.
Carlos SanchezAdobe
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Thursday, October 9, 15:00-15:50
Room 9
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Even with robust CI/CD, production rollouts can hit unexpected snags. While Argo Rollouts excels in Kubernetes at progressive delivery and automated rollbacks to mitigate deployment issues, what if we could go a step further?
This session explores how to elevate your release process by integrating Agentic AI with Argo Rollouts. We'll demonstrate how an intelligent agent can automatically analyze logs when a rollout fails, pinpointing the root cause. Beyond diagnosis, these agents can take proactive steps on your behalf—from suggesting and even implementing code fixes or deployment manifest adjustments, to generating new pull requests and sending immediate notifications. 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.
This session explores how to elevate your release process by integrating Agentic AI with Argo Rollouts. We'll demonstrate how an intelligent agent can automatically analyze logs when a rollout fails, pinpointing the root cause. Beyond diagnosis, these agents can take proactive steps on your behalf—from suggesting and even implementing code fixes or deployment manifest adjustments, to generating new pull requests and sending immediate notifications. 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.
Carlos Sanchez
Carlos Sanchez is a Principal Scientist at Adobe Experience Manager, specializing in software automation, from build tools to Continuous Delivery and Progressive Delivery. Involved in Open Source for over 20 years, he is the author of the Jenkins Kubernetes plugin and a member of the Apache Software Foundation amongst other open source groups, contributing to several projects, such as Kubernetes, Jenkins or Apache Maven.
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