End-to-end AI DevOps platform orchestrating code from GitHub/GitLab through intelligent CI/CD pipelines, automated security scanning, and AI-driven deployment across Kubernetes environments. The architecture integrates AI Code Analysis, Security Scan, and Quality Gate stages within the CI/CD Pipeline, feeding artifacts to Docker Registry and Helm Charts for multi-environment deployment. Monitoring flows through Prometheus and Grafana with AI Anomaly Detection, Alert Manager, and AI Root Cause Analysis enabling auto-remediation and closed-loop intelligence. The AI Intelligence Layer combines ML Model Registry, Feature Store, RAG Pipeline, Vector DB, and LLM Ops Engine to power intelligent decision-making across deployment, monitoring, and compliance. Fork this diagram to customize Kubernetes cluster configurations, add provider-specific IAM policies, or extend the AI Ops feedback loop for your infrastructure.