AI DevOps: Shipping GenAI Features Without Breaking Production
How to treat LLM apps like real products—CI/CD, evaluation gates, cost controls, and rollback paths that ops teams can trust.
7 min readField-tested articles across AWS, Azure, GCP, Kubernetes, MLOps, AIOps, PCI DSS, HIPAA, and platform engineering.
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Practical notes on AWS, Azure, GCP, Kubernetes, AIOps, MLOps, PCI DSS, HIPAA, and related platform work—written for teams shipping in production.
How to treat LLM apps like real products—CI/CD, evaluation gates, cost controls, and rollback paths that ops teams can trust.
7 min readAccounts, SCPs, Control Tower patterns, identity, and logging—what to get right before the first production workload lands.
8 min readHow to structure subscriptions, Azure Policy, Entra ID, and hub networking so Azure estates stay governable as they grow.
7 min readSAST, SCA, secrets scanning, and container checks belong in the pipeline—here’s how to make them fast and actionable.
6 min readResource Manager hierarchy, org policies, VPC Service Controls, and logging—building a GCP estate teams can actually operate.
7 min readFrom landing zones to Kubernetes, AIOps, and compliance readiness—we help you implement what the articles describe.