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.
IndexedDB Data Not Persisting: Silent Writes and Missing Transactions
When IndexedDB writes appear to succeed but data vanishes on reload, the root cause is almost always a mishandled transaction, quota error, or blocked upgrade. This guide exposes the real-world failures behind 'not storing data' and how to trace them.
Web Worker Communication Failures: Why postMessage Stops Working
A deep dive into why postMessage between main thread and web workers silently fails, covering cloning errors, closed ports, and structured clone algorithm limits.
Debugging Ruby Bundler Gem Conflict Errors
A practical guide to diagnosing and resolving gem dependency conflicts in Ruby Bundler, with real commands and war stories.
Rails Database Migration Error: Failed to Add Column Due to Lock Wait Timeout
A practical guide to diagnosing and fixing Rails migration failures caused by lock wait timeouts, schema inconsistencies, and database deadlocks in production.
Detecting and Fixing ActiveRecord N+1 Queries in Rails
A practical guide to identifying, diagnosing, and eliminating N+1 queries in Rails applications using Bullet, rack-mini-profiler, and eager loading.
How to Debug a Failing Sidekiq Job That Keeps Retrying
A practical guide to diagnosing and fixing Sidekiq jobs that fail and retry endlessly—covers real causes, commands, and fixes.
Long-form thinking on debugging habits, observability, and the systems around the bug.
Tracking Down a 200 MB Leak with Python Memory Profilers
A production API was silently leaking 200 MB of RAM every hour. Here's how memory profilers found the culprit—a forgotten NumPy array reference—and how you can apply the same techniques.
Reading CPU Flame Graphs: What the Hot Colors Actually Tell You
Flame graphs are everywhere, but most engineers read them wrong. Here's how to identify real bottlenecks, avoid common misinterpretations, and turn profile data into actionable fixes.
When Logs Lie: The Gaps Between What You Log and What Actually Happened
Logs are the first thing we reach for during an incident. But they can be misleading, incomplete, or outright wrong. Here's when to trust them and when not to.
Adding Observability to a 500K-Line Monolith Without a Rewrite
Adding structured logging, distributed tracing, and metrics to a legacy monolith without a full rewrite. Real code examples and a war story from a 500K-line codebase.
Distributed Tracing: Following a Single Request Across Microservices
Distributed tracing lets you follow a request as it hops across services. I'll show you how trace context propagates, why sampling matters, and how tracing helped us debug a 5-second latency spike in production.
Structured Logging in JSON: Fields, Schemas, and Pitfalls from Production
A practical guide to designing JSON log schemas that are queryable, consistent, and actually useful in production — with field recommendations and a war story.