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.
Python UnicodeEncodeError / UnicodeDecodeError: A Field Guide
Diagnose and fix Python Unicode encoding/decoding errors in production. Covers common causes, quick checks, and real-world fixes.
Python Generator Already Exhausted: What You're Actually Seeing
A direct engineering guide to diagnosing, fixing, and preventing the 'StopIteration' or silent empty-iteration caused by exhausted Python generators.
Pydantic V2 Migration Breaking Changes Debugging Guide
A practical debug guide for breaking changes when migrating from Pydantic V1 to V2, covering common errors and fixes.
Debugging Python boto3 AWS API Errors: A Field Guide
A practical guide to diagnosing and fixing boto3 API errors in Python, covering credential issues, throttling, and service-specific failures.
Debugging redis-py Connection Refused Errors
A step-by-step guide to debugging 'Connection refused' errors in redis-py, covering network checks, Redis config, and Python client troubleshooting.
gRPC Client-Server Error in Python: Connection Refused and Deadline Exceeded
A practical guide to debugging connection refused, deadline exceeded, and other communication errors in Python gRPC services.
Long-form thinking on debugging habits, observability, and the systems around the bug.
The Debugging Mindset: A Systematic Method for Finding Root Causes
A repeatable, hypothesis-driven approach to debugging that works for intermittent failures, performance regressions, and production incidents.
Analyzing a Core Dump: What to Do When Your Process Goes Silent
A core dump is your process's last scream. Here's how to make it talk.
Timeouts Every Engineer Gets Wrong (and How to Fix Them)
Most timeout bugs aren't logic errors — they're configuration failures. Here's how to stop treating timeouts as magic numbers and start engineering them deliberately.
Backpressure in Streaming Systems: When Your Pipeline Fights Back
Backpressure is the system's way of saying 'slow down.' Ignore it and you get OOM crashes, silent data loss, or cascading failures. Here's how to design for it.
Finding Memory Leaks Step by Step: A Systematic Approach
Memory leaks are the silent killers of long-running services. Here's a repeatable process to hunt them down, from heap dumps to production monitoring.