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.
18 playbooks · 509 guides · 96 articles · 13 linked practice labs ·skip to practice
Fast pattern recognition for the production failures engineers see most often.
18 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.
TensorFlow Incompatible Shapes Error: Debugging Shape Mismatch in Production
A practical guide to diagnosing and fixing TensorFlow shape mismatches, from understanding error messages to verifying the fix.
Diagnosing NumPy MemoryError When Allocating Large Arrays
A direct guide to diagnosing and resolving MemoryError when NumPy fails to allocate large arrays, including memory limits, dtype issues, and swap usage.
Jupyter Kernel Keeps Dying: Debugging and Fixes Guide
A practical guide to diagnosing why your Jupyter kernel repeatedly dies and restarts, with specific commands and root causes.
Kafka Consumer Lag Growing: Why Offsets Stall and How to Fix It
A practical guide to diagnosing and resolving Kafka consumer lag growth, covering configuration pitfalls, broker throttling, and rebalance storms.
Kafka Consumer Group Rebalance Storm Debugging
A practical guide to diagnosing and fixing Kafka consumer group rebalance storms—when frequent rebalances cause processing stalls and lag spikes.
RabbitMQ Messages Stuck Unacked: A Production Debugging Guide
A production-proven guide to diagnosing why RabbitMQ messages pile up as unacknowledged, from consumer stalls to prefetch traps.
Long-form thinking on debugging habits, observability, and the systems around the bug.
Documenting Bugs: A Postmortem-Driven Approach That Cut Recurrence by 60%
Most bug write-ups are useless. Here's a structured, postmortem-driven approach that reduced bug recurrence by 60% in our team — with templates and a real incident walkthrough.
Debugging Inside Docker Containers: Tools, Techniques, and a War Story
Practical techniques for debugging inside Docker containers: exec, nsenter, strace, and a real incident that made me rethink debug images.
kubectl logs: Debugging Pods with Logs, Timestamps, and Previous Instances
Beyond `kubectl logs pod-name` — using timestamps, previous instances, and multi-container patterns to diagnose real failures.
Debugging Serverless Functions Locally: A Practical Approach
Local debugging of serverless functions requires different tools and mindset than traditional apps. Here's how I approach it with real examples.
Debugging Terraform and CloudFormation Errors: A Field Guide to the 3 AM Page
Infrastructure-as-code errors are inevitable. Here's how to systematically debug Terraform and CloudFormation failures without losing your mind.
Debugging as Hypothesis Testing: A Mental Model for Systematic Root Cause Analysis
Most debugging is frantic guessing dressed up as experience. Here's a mental model that treats debugging as a scientific process — form hypotheses, design experiments, and isolate root causes systematically.