Buglyst Blog
Learn to debug under pressure.
Playbooks for fast pattern recognition, guides for the full investigation, and articles for the engineering judgment around the edges.
17 playbooks · 509 guides · 95 articles · 12 linked practice labs ·skip to practice
Fast pattern recognition for the production failures engineers see most often.
17 playbooks
Debugging Env Var Issues
A concise checklist for incidents where local works but CI, staging, or production changes behavior.
Debugging Cache Stampedes
How to recognize and contain request spikes when cached data expires.
Debugging CORS Origin Bugs
A practical way to inspect origin parsing, credentials, and header behavior.
Debugging Retry Bugs
Retry issues often hide the first failure and create duplicate work.
Debugging Timezone Bugs
Time bugs usually live at day boundaries, DST changes, and unit conversions.
Debugging Pagination Bugs
Pagination bugs hide in boundary math, cursor reuse, and new records arriving between pages.
Structured investigations for the failure modes engineers meet in real systems.
Tracking Down Race Conditions in JavaScript Async Logic
Diagnose and fix tricky race conditions in JavaScript asynchronous code—beyond textbook theory. Get actionable steps, examples, and real-world guidance.
Debugging CORS Errors in Browser-Based APIs
Learn how to identify and fix CORS errors in browser clients calling APIs, with actionable steps and real-world debugging examples.
Debugging CrashLoopBackOff Failures in Kubernetes Pods
Spot and resolve Kubernetes pods stuck in CrashLoopBackOff with advanced diagnostics, real command examples, and specific root cause analysis.
Diagnosing Sluggish Webpack Builds in Production CI
A pragmatic engineer’s guide to debugging and resolving unexpectedly slow webpack builds, especially in CI/CD environments.
React Hydration Errors: Diagnosing Mismatches Between SSR and Client
Walking through real-world debugging steps for React hydration errors, including root causes like non-deterministic SSR and DOM mismatches.
Analyzing and Debugging Slow Queries in Postgres
Diagnosing and resolving slow queries in PostgreSQL demands a systematic approach. This guide covers concrete steps, tools, and gotchas for real-world cases.
Long-form thinking on debugging habits, observability, and the systems around the bug.
Mocking External APIs in Tests: Why stubbing HTTP is harder than it looks
Stubbing HTTP calls seems easy until a subtle mismatch between your mock and the real API causes a production incident. Here's what I learned the hard way.
How I Diagnosed a 1-in-1000 Race Condition in Our CI Pipeline
A race condition that only appeared once every thousand CI runs took weeks to track down. Here's how we finally caught it, what tools helped, and what we changed to prevent similar bugs.
How Database Indexes Work: A Debugging Story
A practical guide to understanding database indexes through the lens of debugging a real production outage caused by a missing covering index.
Reading PostgreSQL EXPLAIN ANALYZE Output: A Practical Guide with Real Query Examples
EXPLAIN ANALYZE is the single most important tool for diagnosing slow queries. Here's how to read the output, spot common pitfalls, and fix them with real-world examples.
When caches lie: debugging stale data in distributed systems
Cache invalidation is often cited as one of the two hard problems in CS, but the daily reality is subtler: partial staleness, clock drift, and silent evictions. This post walks through real debugging techniques for stale data in Redis, Memcached, and CDN layers.
Debugging Cache Invalidation Failures: A Case Study with Redis and PostgreSQL
Cache invalidation sounds simple — write-through, TTLs, done. But in practice, silent failures hide in race conditions, connection pools, and stale read replicas. Here's a real debugging story with Redis and PostgreSQL that taught me how to find them.