Series

Part 6: Agentic DevOps, MCP Deployment & AI Governance

← Previous Chapter: Part 5: Operating Models | Series Hub | Next Chapter: Part 7: AI Security Engineering → Answer-first: Deploying MCP servers on Kubernetes requires Stateless Gateway API ingress, token-rate limiting per agent identity, and strict audit logging of all external tool invocations.

Part 7: AI Security Engineering, Governance & DevSecOps Guardrails

← Previous Chapter: Part 6: Agentic DevOps | Series Hub | Next Chapter: Part 8: Grand Finale → Answer-first: Defending against AI agent security risks requires kernel-level system call enforcement (eBPF Tetragon), runtime input sanitize guardrails, and cryptographic tool attestation.

Part 8: Grand Finale — AI-Native & Agentic System Architecture Blueprint

← Previous Chapter: Part 7: AI Security Engineering | Series Hub Answer-first: The grand finale architecture separates probabilistic LLM reasoning layers from deterministic ACID business cores, connected via type-safe MCP interfaces and governed by real-time eBPF security policies.