Series 1. Part 6 - The Delivery Layer: DevSecOps, SRE & Governance for Modern Cloud & AI Platforms
After Azure Landing Zones (Part 4) and Observability (Part 5), the next architectural concern is:
How do we deliver, secure, and operate these platforms reliably at scale?
This is where DevSecOps and SRE practices become essential.
Here’s the structure I focus on:
🔐 1. DevSecOps — Security Shifted Left & Integrated Everywhere
Security is no longer a late-stage gate.
It’s embedded into pipelines, IaC, code scanning, secrets management (Key Vault), identity boundaries, and automated policy checks.
⚙️ 2. CI/CD For AI & Microservices
Versioning, model management, deployment gates, blue/green, canaries, rollback strategies — everything automated, observable, and reversible.
🛡️ 3. SRE (Site Reliability Engineering)
SLIs, SLOs, error budgets, resilience patterns (retries, fallbacks), and incident playbooks.
SRE bridges architecture, operations, and engineering.
📦 4. Governance & Change Control (DORA, ISO, SOC2)
Modern platforms must be audit-ready — operational logs, model lineage, access governance, and compliance guardrails are part of the delivery lifecycle.
🚀 5. Delivery Predictability (Hybrid Delivery + Architecture)
RAID, WBS, PI Planning, cross-team alignment, environment readiness, release governance, and risk-driven delivery.
Modern AI and cloud platforms don’t succeed on architecture alone —
They succeed when delivery, security, and reliability disciplines work together.