About This Architecture

Multi-cloud Kubernetes deployment for an AI-driven quality control platform integrating GitHub and GitLab webhooks with Gemini, GPT-4, and Claude models for automated code review. Traffic flows through an nginx ingress with TLS termination to a React 19 frontend and FastAPI backend, which spawns dynamic scan jobs (code review, red team, font analysis, container vulnerability scanning) across a dedicated code-review namespace. MySQL and PostgreSQL provide persistent state, while ConfigMaps, Secrets, RBAC ServiceAccounts, NetworkPolicies, and HPAs enforce security, configuration management, and auto-scaling. Fork this diagram to customize AI model integrations, add multi-region failover, or extend worker job types for your compliance and security workflows.

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How do I deploy an AI code review system on Kubernetes with GitHub and GitLab integration?

This diagram shows a complete Kubernetes deployment with an nginx ingress handling GitHub/GitLab OAuth webhooks, a FastAPI backend that spawns dynamic scan jobs (code review, red team, font analysis, container vulnerability scanning), and a React frontend. Use ConfigMaps, Secrets, RBAC ServiceAccounts, NetworkPolicies, and HPAs to manage configuration, security, and auto-scaling across a dedicated