Ruby

Mastering Ruby's Concurrency Techniques for Lightning-Fast Apps

Active Record optimization: indexing, eager loading, query optimization, batch processing, raw SQL, database views, caching, and advanced features. Proper use of constraints, partitioning, and database functions enhance performance and data integrity.

Database sharding in Rails horizontally partitions data across multiple databases using a sharding key. It improves performance for large datasets but adds complexity. Careful planning and implementation are crucial for successful scaling.

Rails caching with Redis and Memcached boosts app speed. Store complex data, cache pages, use Russian Doll caching. Monitor performance, avoid over-caching. Implement cache warming and distributed invalidation for optimal results.

Background jobs in Rails offload time-consuming tasks, improving app responsiveness. Active Job provides a consistent interface for various queuing backends. Sidekiq, a popular processor, integrates easily with Rails for efficient asynchronous processing.

Unlock the Mysteries of Ruby's Object Model for Seamless Coding Adventures

SOA with Rails engines enables modular, maintainable apps. Create, customize, and integrate engines. Use notifications for communication. Define clear APIs. Manage dependencies with concerns. Test thoroughly. Monitor performance. Consider data consistency and deployment strategies.

Turbocharge Your Rails App with Ransack's Sleek Search and Sort Magic

Step into Another User's Shoes Without Breaking a Sweat

Revolutionizing File Uploads in Rails with Shrine's Magic

Taming Ruby's Memory: Optimizing Garbage Collection and Boosting Performance

Unleashing the Power of Event-Driven Ruby: The Unsung Hero of Seamless Software Development