10 articles tagged with "observability"
You broke the monolith into twelve services and now a single failed checkout produces twelve unrelated log lines in twelve places. Correlation IDs are the boring, cheap fix — here's how to actually wire them through, not just talk about them.
We instrument every microservice with traces and dashboards, then treat the CI/CD pipeline that ships them as an unobservable black box you just \"re-run and hope.\" Here's how to bring the same rigor to your pipelines — and what changed once we did.
Head-based sampling flips a coin before your request even starts. Tail-based sampling waits for the whole story, then decides who deserves a spot in your trace backend — and it changes everything about which bugs you actually see.
You configured sampling on every service. Each one is working exactly as designed. And yet your traces keep showing up with chunks missing, like a comic book where someone tore out every third page. Here's why, and how consistent sampling fixes it.
Head-based sampling decides whether to keep a trace before it even knows if anything went wrong. Tail-based sampling waits for the plot twist. Here's why that difference matters and how to actually run it.
Error budgets promised to reduce on-call stress. For most teams they just renamed the anxiety. Here's how to implement burn-rate alerting and budget-driven pushback so the budget protects engineers instead of just measuring them.
Drowning in logs but still blind in production? Metrics, logs, and traces each answer a different question — learn which tool fits which problem before your on-call rotation breaks you.
Your dashboard says 45ms average. Your users say the app feels sluggish. Both are telling the truth — your average is just hiding the tail. Here's how to measure, diagnose, and tame P99 latency before it chases users away.
Async functions obliterate your stack traces at the boundary, leaving you with 'processTicksAndRejections' and a prayer. Here's how to get real observability back.
Your logs are a crime scene — and right now they read like a toddler's diary. Let's fix that with structured logging in Node.js so you can actually debug production without losing your mind.