Back End

Learn how to design and implement production-grade REST APIs using Node.js and Express — covering project structure, error handling, middleware patterns, rate limiting, and performance tuning.

Slow queries can cripple even well-architected applications. This guide covers indexing strategies, reading EXPLAIN ANALYZE output, partial indexes, covering indexes, and query planning in PostgreSQL.

Redis is more than a cache — it's a powerful data structure server. Learn cache-aside, write-through, and write-behind patterns, TTL management, cache invalidation strategies, and common pitfalls to avoid.

Each API protocol has distinct trade-offs in performance, flexibility, and developer experience. This in-depth comparison helps you make the right architectural choice for your specific use case.

Containers ensure your application runs consistently across every environment. Learn how to write optimized Dockerfiles, use multi-stage builds, manage environment variables, and orchestrate services with Compose.

Security vulnerabilities are not optional reading — they're fundamental knowledge. This guide covers the OWASP Top 10 threats relevant to backend development and shows concrete mitigation strategies for each.

A practical guide to building compliant backend architectures. Covering data protection, audit logging, encryption, access controls, and operational best practices for GDPR and HIPAA.

Master asynchronous programming in Python: event loops, coroutines, tasks, and advanced patterns. Write high‑performance concurrent code without threading complexity.

Master asynchronous programming in Python: event loops, coroutines, tasks, and advanced patterns. Write high‑performance concurrent code without threading complexity.

Leverage goroutines, efficient JSON handling, connection pooling, and hardware-friendly design to build APIs that handle thousands of requests per second with minimal latency.