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.
3 playbooks in Data & Storage
Debugging Pagination Bugs
Pagination bugs hide in boundary math, cursor reuse, and new records arriving between pages.
Debugging Transaction Rollback Issues
How to find partial writes when multi-step database workflows fail mid-request.
Debugging Database Consistency Bugs
How to trace query consistency issues across repositories, replicas, and API response contracts.
Structured investigations for the failure modes engineers meet in real systems.
Database transaction rollback not working: how to debug it
Your code calls rollback but the data stays committed. The transaction was never really open, or it auto-committed before the failure.
Redis cache serving stale data: how to debug it
Your Redis cache returns old data after the source of truth updates. The cache key, TTL, or invalidation is wrong.
Stale cache key bug: how to debug cache key collisions
Your cache returns data belonging to a different user, tenant, or request. The cache key is not unique enough — it is missing a dimension.
N+1 query slowing down your API: how to find and fix it
Your API makes one query to get a list, then one more query for every item in the list. That is the N+1 pattern — it turns 1 query into 101 and kills performance.
Database migration works locally but fails in production: how to debug it
Your migration runs perfectly on your local database but errors out in production. Different database version, different data, or different permissions.
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.
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.
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.
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.