GO For Cloud & DevOps

Go for Cloud & DevOps

The Language Behind Docker and Kubernetes · Book Four of the Go for Absolute Beginners Series

Docker is written in Go. Kubernetes is written in Go. Terraform is written in Go. Prometheus is written in Go. If you work with modern cloud infrastructure, you are already using software built in Go every single day — and learning Go properly gives you the ability to understand, extend, and operate that infrastructure at a depth that no other language makes possible.

Go for Cloud & DevOps takes the task API from Go for Backend APIs and deploys it the way it deserves: in a container built from scratch with no operating system and no attack surface, running on Kubernetes with health probes tuned so rolling updates complete without dropping a single in-flight request, monitored by Prometheus, traced end-to-end by OpenTelemetry so a single trace ID connects every log line and every metric for a given request, shipped automatically by GitHub Actions, and managed by Terraform as version-controlled code reviewed in a pull request.

What You Will Learn

Part I — Containers. Docker from first principles for Go developers: image layers, the build cache, and the multi-stage Dockerfile that compiles Go in a builder stage and produces a FROM scratch runtime image weighing roughly fifteen megabytes. Docker Compose for local development with health checks, dependency ordering, and an observability profile that adds Prometheus, Grafana, Loki, and Jaeger with a single flag.

Part II — Kubernetes. The control loop model, Pods, Deployments, Services, ConfigMaps, StatefulSets, and PersistentVolumeClaims — each concept illustrated through real manifests for the task API. Startup, liveness, and readiness probes tuned to the application's actual initialization behavior. Graceful shutdown implemented in Go with the preStop lifecycle hook and http.Server.Shutdown so no request is ever dropped during a deployment. Secrets managed properly with the External Secrets Operator syncing from HashiCorp Vault.

Part III — Observability. Structured JSON logging with Go's slog package shipped to Loki via Fluent Bit, with a trace ID in every line. Prometheus metrics for the full instrumentation of the task API: HTTP request rates and latency histograms, database query durations, connection pool state, and business-level counters. Distributed tracing with the OpenTelemetry Go SDK, the OTel Collector running tail-based sampling that keeps every error trace and every slow trace, and Jaeger for visualization. Alert rules tested with promtool before they ever reach a production cluster.

Part IV — Automation & Infrastructure. A GitHub Actions pipeline that runs tests with a real PostgreSQL service container, builds a signed multi-platform image, scans it with Trivy, and deploys to staging automatically — with rollback on smoke test failure. Terraform managing every Kubernetes resource from the namespace to the HorizontalPodAutoscaler as version-controlled HCL reviewed in pull requests. A capstone chapter deploying the complete system to a cloud cluster with TLS termination at the load balancer, Route 53 DNS managed as code, and a production readiness checklist you can run before every release.

The infrastructure you use every day was built by engineers who understood these tools at this depth. This book gives you that understanding — and the complete, working deployment to prove it.

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