Health-Checks

Testing, CI/CD, and Automating Quality from Day One Building software quickly matters, but reliability matters more. By weaving testing and automation into the project from the start, teams create a healthy feedback loop. Developers see failures early, infrastructure teams gain confidence, and users experience fewer surprises with releases. Start with a lean baseline. Focus on tests that protect the most important paths and keep them fast. The aim is not perfect coverage, but meaningful safety nets that shrink the time between a change and its verified impact. ...

Networking Essentials for Building Reliable Systems Networks connect services and apps across rooms, clouds, and devices. A reliable system depends on clear, predictable communication. Small delays or failed calls can ripple through, so it helps to plan how services talk to each other. Core concepts Latency, jitter, and throughput describe how fast data moves. Keep requests simple and consider compression when helpful. Timeouts matter. Set sensible client and server timeouts to avoid waiting forever. Retries should be cautious. Use exponential backoff and cap the total time spent retrying. Idempotence means repeated requests have the same effect. This helps when networks slip or retries happen. Rate limits protect services from overload and help lines stay responsive. Reliability patterns ...

Containers in Production: Best Practices and Patterns Containers simplify deployment and scale, but they need careful handling to stay reliable in production. This guide highlights practical patterns you can apply across teams and environments. Start with solid foundations. Build small, purpose‑built images and use multi‑stage builds to keep runtime footprints tiny. Pin base image versions and prefer digest pins when possible. Regularly scan for vulnerabilities and rebuild after the supply chain changes. A fresh image that is missing a critical update can break your service just as quickly as a buggy code change. ...