Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Rails 7 Performance Playbook: Architectural Mastery And Advanced Scripting

The Rails 7 Performance Playbook: Architectural Mastery And Advanced Scripting

Ethan, Keith

Paperback

General Computers

ISBN13: 9798270565503
Publisher: Independently Published
Published: Oct 18 2025
Pages: 152
Weight: 0.49
Height: 0.33 Width: 6.14 Depth: 9.21
Language: English
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.

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