Containers, orchestration, cloud infrastructure, and the practices that keep production reliable.
How Step Functions state machines coordinate distributed work, where retries and execution history help, and where orchestration cost and service limits matter.
A production-focused guide to Azure Container Apps architecture, revisions, jobs, networking, identity, observability, scaling, and platform limits.
A production operating model for ACR authentication, repository permissions, digests, scanning integrations, retention, private networking, and global replicas.
A production model for AKS architecture, Entra authentication, node pools, CNI choices, upgrades, observability, availability, and shared responsibility.
Why latest is not an identity, how OCI digests anchor releases, and how signatures, attestations, SBOMs, and admission policy work together.
How Artifact Registry manages container images and language packages with explicit locations, repository-level access, vulnerability analysis, and cleanup policies.
How Cloud Run turns containers into managed services and jobs, including scaling, traffic splitting, IAM, networking, observability, and cold-start tradeoffs.
Why legacy Container Registry is no longer the service to design around, what remains true about gcr.io URLs, and how to move safely to Artifact Registry.
How GKE divides control between Google and the customer across Autopilot and Standard modes, including scaling, identity, networking, upgrades, security, and cost.
A deep guide to Helm charts and releases, value precedence, dependencies, lifecycle operations, GitOps, secrets, validation, and Helm 4 compatibility.