Platform engineering essentials: CI/CD, IaC, containers, and safe deploys

The model gets the attention; the platform is what lets you ship it twice a day without fear. Good platform engineering is mostly invisible — it's the machinery that turns a commit into a running, observed, reversible deployment. Here are the pieces that matter.

CI/CD: from commit to production, automatically

A continuous-integration pipeline (GitHub Actions is the common choice) runs on every push: build, test, typecheck, lint, and — for AI systems — the eval suite (a prompt change is a code change, from the eval-discipline post). Continuous delivery takes what passes and ships it. The goal is that merging to main reliably and boringly produces a deploy, with humans reviewing intent, not babysitting the mechanics.

Infrastructure as code and containers

Infrastructure defined in code (Terraform) is reproducible, reviewable, and version-controlled — you can recreate the whole environment from a repo, and a change to it goes through the same review as application code. Containers (Docker) make the app itself reproducible across machines, and an orchestrator (Kubernetes, or managed services like ECS/EKS) runs and scales them. On AWS specifically, the pieces are familiar: S3 for storage, Lambda for event-driven work, ECS/EKS for services, OpenSearch Service for search.

Deploy strategies that let you undo

The point of a deploy strategy is a fast, safe rollback. Blue-green keeps two environments and flips traffic to the new one instantly (and back, if it's bad). Canary releases the change to a small slice of traffic first, watches the metrics, and rolls forward only if they hold. Both mean a bad deploy affects few users for a short time — which is what lets you ship often without holding your breath.

Monitoring, SLOs, and secrets

You can't operate what you can't see. Monitoring and alerting on the golden signals, SLOs that define 'good enough' and an error budget that governs how fast you push, and a real on-call and incident-response practice for when they're breached. Alongside that: secrets in a manager (never in code or env files in the repo), and cost monitoring so a runaway job or a chatty model shows up as a line on a dashboard, not a surprise on the invoice.

Nobody buys your product for the CI pipeline — but the ability to ship daily, roll back in a minute, and know within seconds when something broke is what makes everything above it possible.