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Go Apps on Kubernetes

Production Best Practices

Go services often fail in production for boring reasons: weak probe semantics, missing timeout budgets, unsafe retries, noisy telemetry, and rollout settings that look fine until traffic spikes.

Go Apps on Kubernetes is a practical pocketbook for engineers who ship and run Go microservices on K8s. It gives you concise, production-focused guidance you can apply immediately: health/readiness contracts, graceful shutdown and draining, retry/backoff patterns, observability defaults (metrics, logs, traces), security hardening baselines, and deployment/autoscaling templates.

No theory dump, no platform-admin detours. Just reusable patterns and incident-oriented checklists to help your services start cleanly, degrade predictably, and recover fast.

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About

About

About the Book

Provide a practical production baseline for building and operating Go services on Kubernetes.

This pocketbook is for

  • Go backend engineers shipping containerized APIs/services.
  • Platform/SRE teams defining shared production guardrails.
  • Tech leads standardizing reliability and operability across services.

What you get

  • Essential defaults for probes, shutdown, timeouts, retries, and runtime limits.
  • Reusable snippets for observability, deployment safety, and incident triage.
  • Checklists to validate readiness before production rollout.

Scope

  • Kubernetes-ready application behavior and service runtime practices.
  • Day-1 and Day-2 operational reliability for HTTP-centric microservices.

Out of scope

  • Deep Kubernetes platform administration (cluster provisioning/CNI/storage internals).
  • Service-specific business logic and domain-level architecture choices.

How to use it

  1. Apply the baseline templates first.
  2. Adapt values to your SLOs, traffic profile, and dependency behavior.
  3. Keep changes explicit, measured, and testable under load/failure.

Author

About the Author

Luca Sepe

Software craftsman with 25+ years of experience building simple, reliable systems.

I work mainly with Go and C-like languages, designing and delivering CLI tools, data pipelines, scrapers, custom toolchains, and production systems in Kubernetes ecosystems.

My engineering style is straightforward: clarity over cleverness, pragmatism over trends, and working software over everything else.

Complexity is optional.

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