Engineering
Debugging Production Incidents: A Systematic Approach
A battle-tested framework for diagnosing and resolving production incidents quickly — from first alert to root cause analysis and prevention.
·4 min read
Tags
Debugging
9 articles
Backend
Structured Logging for Production Node.js Services
Structured logging in Node.js that produces machine-parsable, searchable entries with correlation IDs, consistent severity levels and context propagation.
·3 min read
Engineering
Distributed Tracing: Following Requests Across Services
Implement distributed tracing across microservices with OpenTelemetry: context propagation, spans, sampling and the analysis that makes systems debuggable.
·5 min read
Engineering
Debugging Distributed Systems: Correlation and Causation
Debug distributed systems with correlation IDs, tracing context propagation, log aggregation and causal ordering to follow a request to its root cause.
·5 min read
Engineering
Structured Logging for Production Applications
How to implement structured logging that makes production debugging fast: JSON formats, context propagation, log levels, data masking and aggregation.
·4 min read
Engineering
Debugging Memory Issues in Production Systems
Techniques for diagnosing memory leaks, excessive allocation, and OOM kills in production — covering heap snapshots, profiling tools, and common leak patterns.
·4 min read
Tutorials
Git Bisect and Advanced Debugging Tools
How to use git bisect, conditional breakpoints, and systematic debugging techniques to find bugs in minutes instead of hours.
·4 min read
Engineering
Distributed Tracing: Following Requests Across Services
When a request touches five services, each log is useless alone — distributed tracing ties them together with trace IDs, spans and context propagation.
·3 min read
Engineering
Memory Leaks in Node.js: Detection and Prevention
Closures, event listeners, and uncleared timers — the most common memory leak patterns in Node.js and how to find them before they crash production.
·3 min read