Beyond GitOps: Building Intelligent Drift Detection and...
summary
Argo CD is extended with OPA policies, ApplicationSets, Resource Hooks and a custom controller that calls agentic AI over an MCP to decide drift actions; the system queries Prometheus and PagerDuty and logs full LLM reasoning, deferring safe changes to a maintenance window or triggering approvals for sensitive updates. Demo shows a replica scale justified by 4x traffic, an LLM confidence threshold 80%, shadow → advisory → bounded autonomous rollout.
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chapters (12)
- 0:00Intelligent drift detection in GitOps
- 1:05Basic Argo CD drift detection
- 3:16Drift detection with OPA policies
- 4:20AI context for drift analysis
- 5:22Agentic AI with MCP and A2A
- 7:20Live demo: intelligent drift detection
- 12:55Friday incident replay with context
- 14:37Trusting AI in production
- 15:40Observability for AI decisions
- 16:44From basic to agentic reconciliation
- 18:10Key takeaways for GitOps
- 19:14Conclusion and Q&A
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