Backend
Graceful Shutdown in Node.js Production Services
Most Node.js services silently drop in-flight requests on every deploy. Here's how to handle SIGTERM correctly, drain connections, and exit cleanly in Kubernetes.
·5 min read
Tags
production
13 articles
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
Backend
Structured Logging Practices for Production Node.js Applications
Implement structured logging in Node.js services that produces machine-parsable, searchable log entries with correlation IDs, consistent severity levels, and context propagation that makes debugging production incidents fast and reliable.
·3 min read
Engineering
Chaos Engineering: Breaking Things on Purpose
Practice chaos engineering by injecting controlled failures into production systems to discover weaknesses before they cause outages, with practical experiments covering network partitions, resource exhaustion, and dependency failures.
·5 min read
Artificial Intelligence
Prompt Engineering Patterns for Production Applications
Systematic prompt engineering patterns for production LLM applications including structured output extraction, chain-of-thought reasoning, few-shot calibration, prompt versioning, and automated evaluation pipelines.
·5 min read
Security
Securing Docker Containers in Production
Practical techniques for hardening Docker containers — covering image scanning, least-privilege configuration, secrets management, network policies, and runtime security monitoring.
·5 min read
Artificial Intelligence
NLP Pipelines for Production Applications
How to build production-ready NLP pipelines — covering text preprocessing, tokenization, embeddings, classification, and entity extraction with practical TypeScript and Python examples.
·5 min read
Engineering
Structured Logging for Production Applications
How to implement structured logging that makes production debugging fast — covering JSON log formats, context propagation, log levels, sensitive data masking, and integration with log aggregation tools.
·4 min read
Backend
Database Connection Management in Production
How to configure and monitor database connection pools — covering pool sizing, leak detection, failover handling, and common misconfiguration pitfalls.
·5 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
Engineering
Chaos Engineering: Breaking Things on Purpose
Chaos engineering is the practice of deliberately injecting failures into production systems to discover weaknesses before they cause real outages.
·3 min read
DevOps
Monitoring and Alerting Strategies That Actually Work
Alert fatigue kills incident response — build a monitoring strategy around SLIs, meaningful thresholds, and actionable alerts instead of noisy dashboards.
·3 min read
Engineering
Logging Best Practices for Production Systems
Structured logging, log levels, and correlation IDs — the patterns that turn noisy log output into a searchable, actionable observability layer.
·3 min read