Overview

The essential guide for experienced Rails developers ready to scale their applications, master high-performance architecture, and build true resilience in a cloud-native world. The journey from a successful Rails monolith to a world-class application handling millions of users is an architectural challenge, not just a coding one. This book provides the definitive roadmap for scaling mature Rails systems by tackling performance bottlenecks at every layer: code, caching, database, and infrastructure. Beyond simple optimizations, you'll learn the advanced patterns and systematic thinking required to transform your application into an elastic, cost-efficient, and highly available service. What You Will Master: Advanced Caching & Performance: Implement multi-layer caching, including sophisticated fragment caching and distributed key stores, and master I/O parallelism with Sidekiq, Redis, and message queues. Database Scaling and Resilience: Go beyond read replicas to architect scalable data layers. Learn the principles of Data Partitioning and the complexity of Sharding massive datasets to overcome single-database bottlenecks. Architectural Decomposition: Understand how and when to break up the monolith using Rails Engines and Domain-Driven Design (DDD) concepts for true isolation and maintainable services. Cloud-Native Optimization (Docker & Kubernetes): Build ultra-lean, multi-stage Docker images to slash deployment times. Master Kubernetes resource allocation, setting accurate Requests and Limits to prevent costly OOMKilled events and CPU throttling. Zero-Downtime Deployment Strategies: Implement and manage advanced deployment rollouts, including the high-confidence Blue/Green switch and the risk-mitigating, gradual *Canary Deployment*. Systemic Resilience: Architect a self-healing system using Load Balancing, Auto-Scaling, and smart Health Checks (Liveness, Readiness, and Startup Probes) to ensure stability under any load.

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