#devops

Two things decide whether a load balancer helps. The algorithm, where round robin quietly assumes every request costs the same. And the health check, which is either too shallow to notice a broken server or so deep that one shared dependency marks your entire fleet unhealthy at once.

Two costs land the moment you add a flag, and neither is visible that day. It creates a branch in your code that nothing will ever make you delete, and it lets someone change production behaviour without passing through any of the safety machinery you built for changing production behaviour.

Logs, metrics and traces is a taxonomy of data formats, not of capability. Having all three does not mean you can answer a question you did not anticipate. What lets you do that is high-cardinality context on every request, which is also precisely what your observability vendor prices on.

Everyone repeats that VMs virtualize hardware and containers virtualize the OS. True, but it hides the real thing. A container isn't a tiny VM. It's a normal process on the host with blinders on, fenced off by two Linux kernel features.

CI/CD is three different ideas people mash into one acronym, and getting the distinction wrong is how teams end up with a pipeline that runs tests but ships nothing. Here is what continuous integration, delivery, and deployment actually mean.

90% of organizations now run an internal developer platform, per the 2025 DORA Report. You don't need Backstage and twelve operators to get there. You need a portal, a paved path, and FinOps guardrails, and you can ship all three without a platform empire.

Hard-won lessons on running Kubernetes at scale, from cluster architecture and RBAC to cost optimization and real production pitfalls.

A practical guide to shifting security left: SAST, DAST, container scanning, secrets detection, IaC analysis, and GitHub Actions hardening.

Velocity theater is real and most engineering teams are running it. Here are the metrics that actively damage culture and what to track instead.