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.
Kubernetes pod CrashLoopBackOff: how to debug crashing pods
Your pod starts, crashes, restarts, crashes again. The CrashLoopBackOff status means Kubernetes is giving up. The pod logs hold the answer.
SSL certificate error after deployment: how to debug TLS issues
Your site was working with HTTPS. After a deployment, browsers show SSL errors. The certificate expired, was not renewed, or the domain changed.
Frontend build works locally but fails on Vercel or Render: how to debug it
Your build command succeeds locally but fails when Vercel or Render runs it. The platform has a different Node version, memory limit, or build settings.
API timeout: how to debug request timeout issues
Your API endpoint returns a timeout error. The request takes longer than the configured timeout, but the operation might have succeeded silently on the server.
Duplicate emails sent by retry bug: how to debug it
Your email service retries a failed send, but the first send actually succeeded. Users get two, three, or ten copies of the same email.
Pagination off by one bug: how to debug pagination errors
Your paginated list skips the first item, shows the last item twice, or has an empty last page. The offset, limit, or page calculation is off by one.
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.