Advanced DevSecOps Engineering: Architecture, Trust, Software Supply Chain, Release, Infrastructure, Runtime Security, Operations, Governance, and ... ... Visual Guide to Computer Systems Book 1)

Modern software delivery is a privileged production system. A secure application can still be compromised through its repositories, CI/CD runners, identity federation, dependencies, registries, deployment controllers, cloud control planes, or runtime platform. Advanced DevSecOps Engineering is a production-oriented guide for experienced systems engineers, platform engineers, security engineers, site reliability engineers, and senior software engineers who need to design and operate trustworthy delivery systems. Core coverage includes: • DevSecOps architecture, threat modeling, security requirements, and cryptographic trust boundaries • Source-control protection, developer-environment security, AI-assisted engineering controls, and isolated CI runners • OIDC federation, short-lived credentials, secret lifecycle engineering, and privileged automation • Hermetic builds, SLSA provenance, DSSE, Sigstore, OCI artifacts, SBOMs, VEX, and supplier risk • Risk-aware SAST, DAST, SCA, IaC, container, and API security testing • GitOps, progressive delivery, release approvals, database migrations, rollback, and break-glass operations • Infrastructure as code, policy as code, cloud IAM, container hardening, Kubernetes admission control, and multi-tenant guardrails • SPIFFE and SPIRE workload identity, service-to-service authorization, API security, runtime telemetry, and detection engineering • Exploitability-driven vulnerability management, delivery-system incident response, clean-room recovery, governance, and continuous assurance The book treats the software delivery platform as a security-critical distributed system rather than a collection of scanners. It explains enforcement points, bypass paths, fail-open and fail-closed behavior, identity claims, immutable artifact promotion, evidence integrity, operational degradation, troubleshooting, and recovery after compromise. More than 600 visual explanations are planned to make architecture, protocol flows, decision boundaries, failure scenarios, and operational procedures easy to understand and retain. Practical code, policy, configuration, checklists, architecture decision records, and production reference designs support implementation and review work. This is not an introductory DevOps book. It assumes working knowledge of Linux, networking, cloud IAM, Git, containers, Kubernetes, distributed systems, and CI/CD fundamentals. The emphasis is on high-frequency production decisions, difficult security boundaries, and failure-prone operational scenarios. By the end, readers will be able to evaluate a delivery system end to end, design stronger trust and authorization boundaries, verify software-supply-chain evidence, operate cloud-native security controls safely, diagnose complex failures, and build a practical DevSecOps transformation roadmap.