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Caching

Mastering Python Caching Strategies: Redis, Memcached, and Flask-Caching

·1495 words·8 mins
Web Development Performance Backend Engineering Python Redis Memcached Flask Caching Performance System Design
In the landscape of 2025, where microservices architectures are denser than ever and AI-driven features demand near-instantaneous inference retrieval, latency is the silent killer of user experience. For Python developers, optimizing I/O-bound operations remains the most effective way to scale applications.

Mastering Redis in Go: High-Performance Caching and Session Management

·1791 words·9 mins
Web Development Performance Backend Engineering Golang Redis Caching Session-Management Go-Redis Backend System Design
Introduction # In the landscape of modern backend development, speed isn’t just a luxury—it’s a requirement. As we step into 2026, users expect sub-millisecond response times, and microservices architectures demand robust state management. If your Golang application is hitting the database for every single read request, you are leaving performance on the table and risking scalability bottlenecks.

Mastering Concurrency: Building a High-Performance Distributed Cache in Go from Scratch

·2256 words·11 mins
System Design Go Advanced Performance Distributed-Systems Caching Go-1-23 Concurrency Consistent-Hashing System Design Performance
Introduction # In the landscape of modern backend architecture, caching is the unsung hero that stands between your database and a total meltdown. While tools like Redis or Memcached are industry standards, strictly using them without understanding their internals limits your growth as a senior engineer.