Grokking Concurrency is an easy-to-read, hands-on guide that that will help you leverage multiple cores and terabytes of data and excel with high loads even after hardware and software failures. With clear explanations of core concepts, interesting illustrations, and examples, this is the ideal textbook to help you demystify concurrency concepts.

This easy-to-read, hands-on guide demystifies concurrency concepts like threading, asynchronous programming, and parallel processing in any language.

For readers who know the basics of programming.

Grokking Concurrency is the ultimate guide to effective concurrency practices that will help you leverage multiple cores, excel with high loads, handle terabytes of data, and continue working after hardware and software failures. The core concepts in this guide will remain eternally relevant, whether you are building web apps, IoT systems, or handling big data.

Specifically, you will:

• Get up to speed with the core concepts of concurrency, asynchrony, and parallel programming
• Learn the strengths and weaknesses of different hardware architectures
• Improve the sequential performance characteristics of your software
• Solve common problems for concurrent programming
• Compose patterns into a series of practices for writing scalable systems
• Write and implement concurrency systems that scale to any size

Grokking Concurrency demystifies writing high-performance concurrent code through clear explanations of core concepts, interesting illustrations, insightful examples, and detailed techniques you can apply to your own projects.

About the technology

Microservices, big data, real-time systems, and other performance-intensive applications can all slow your systems to a crawl. You know the solution is “concurrency.” Now what? How do you choose among concurrency approaches? How can you be sure you will actually reduce latency and complete your jobs faster? This entertaining, fully illustrated guide answers all of your concurrency questions so you can start taking full advantage of modern multicore processors.