Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
Picking partition counts and keys decides whether your Kafka consumers scale linearly or hit a wall. The patterns that survived rebalances, partition-count changes, and consumer-group ops.
Production monitoring catches user-facing issues. CI failures stay invisible until someone notices the merge queue is stuck. The metrics and alerts that make pipelines observable.
Static thresholds on error rate produce noisy alerts. Burn-rate alerting flips the question to "are we burning the error budget faster than we can sustain?" — and pages only on real problems.
SBOMs and signed attestations sound like checkboxes until you need to answer "did this artifact come from our pipeline?" The minimum viable supply-chain story we run.
Argo CD ships your manifests; Argo Rollouts ships them gradually with automated quality gates. The setup, the analysis templates that earn their place, and what we measure.
Wrong SLI metrics mean green dashboards while users churn. The discipline of picking signals that move with what users actually feel, and the ones that look reliable but lie.
You always have known vulnerabilities. The question is how you triage, patch, and respond. The discipline we run after a few real incidents and a lot of routine work.
Three terms that get mixed up constantly. The actual differences, where each one sits in the request path, when you reach for which, and where the same tool plays all three roles.
Helm gives you a lot of rope. The patterns we used that backfired, the ones we replaced them with, and what to skip if you're starting today.
We run three different job queue systems across our services. The patterns that work across all of them, the differences that matter, and the operational gotchas.
We adopted Backstage for service catalogs and templates. What works, what was over-engineered for our size, and what we'd do differently.
We run a chaos game day each quarter. The scenarios that surfaced real problems, the ones that didn't, and the operational discipline that makes the practice pay back.
