Deep dives into software architecture, cloud infrastructure, and modern development practices
12 articles available
React Hooks revolutionized how we write React components when they were introduced in version 16.8. In this comprehensive guide, we'll build a Task Management Application from the ground up, progressively adding complexity while exploring each hook in depth.
Master React performance optimization with practical techniques including memoization, code splitting, lazy loading, and profiling. Learn when and how to optimize without premature optimization.
Deep dive into TypeScript's type system with practical examples of utility types, conditional types, mapped types, and template literal types. Master type-level programming.
Comprehensive guide to AWS architecture patterns covering compute, storage, databases, and serverless. Learn how to design scalable, cost-effective, and secure cloud infrastructure.
Production-ready Docker practices including multi-stage builds for smaller images, layer caching strategies, security scanning, and docker-compose orchestration patterns.
Deploy production-grade Kubernetes workloads with Helm for package management, custom operators for automation, and comprehensive monitoring with Prometheus and Grafana.
Master Python's async/await with practical asyncio patterns, understand when to use threads vs async, and build high-performance concurrent applications with real-world examples.
Master SQL performance with indexing strategies, query optimization techniques, execution plan analysis, and proven patterns for fast database queries at scale.
Build production-ready data pipelines with Apache Airflow. Learn DAG design patterns, error handling, monitoring strategies, and scaling techniques for reliable data workflows.
Build production-ready MERN applications with proper architecture, authentication, state management, API design, and deployment strategies. Complete guide from development to production.
Build production-grade CI/CD pipelines with GitHub Actions. Automate testing, security scanning, Docker builds, and deployments to AWS, Azure, and Kubernetes with practical examples.
Learn clean code principles that make software maintainable, testable, and scalable. Covers naming conventions, function design, SOLID principles, and refactoring patterns with real examples.