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.
Why Your P99 Latency Is Lying to You (and What to Use Instead)
The 99th percentile is the go-to metric for tail latency, but it's easy to fool. Here's a real outage caused by trusting P99, and how to build a more honest monitoring stack.
The Real Cost of N+1 Queries: More Than Just Slow Pages
N+1 queries are often dismissed as a minor performance issue, but their real cost goes far beyond slow page loads—think cascading timeouts, database meltdowns, and cloud bills that balloon overnight. Here's what you're actually paying for.
Reading Flame Graphs: The Non-Obvious Patterns That Reveal Real Bottlenecks
Flame graphs are everywhere in performance profiling, but most engineers only scratch the surface. Here are the patterns that actually tell you where your code is slow.
Print Debugging vs Debugger: When printf Wins and When It Fails
Printf debugging is dismissed as primitive, but in many real-world scenarios it's faster and more reliable than a full debugger. Here's the tradeoff with concrete examples from distributed systems and production incidents.
Writing Postmortems That Actually Improve Reliability
A postmortem that blames someone gets filed and forgotten. A postmortem that traces cause without blame becomes a reliability upgrade. Here's how to write the second kind, with a real example from an 18-hour DNS outage.
Feature Flag Debt: When Your 500 Conditional Branches Become the Incident
Feature flags are great until they're not. Here's how to audit, remove, and automate cleanup before your 500th conditional branch becomes the root cause of a production incident.