6 articles tagged with "observability"
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.