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Hands-On High Performance with Go

Bob Strecansky

406 Pages
2020

Hands-On High Performance with Go

Boost and Optimize the Performance of Your Golang Applications at Scale with Resilience

Packt Publishing, Limited

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Hands-On High Performance with Go - Summary

This comprehensive guide takes developers on a deep dive into optimizing Go applications for maximum performance and efficiency. The book provides practical approaches to writing high-performance code, covering everything from basic optimization techniques to advanced concepts like parallelism and distributed systems. Through hands-on examples and proven methodologies, readers learn to identify bottlenecks, manage memory effectively, and implement concurrent programming patterns that scale.

Key Ideas

1

Performance-First Architecture

A detailed exploration of Go's performance capabilities, teaching developers how to design and structure applications with speed and efficiency as primary considerations. The book demonstrates how to leverage Go's built-in features to create lightning-fast applications while maintaining code readability and maintainability.

2

Concurrent Programming Mastery

An in-depth look at Go's powerful concurrency features, including goroutines and channels. Readers learn to implement parallel processing effectively, manage distributed systems, and handle multiple operations simultaneously while avoiding common pitfalls and race conditions.

3

Advanced Optimization Techniques

A comprehensive coverage of professional-grade optimization strategies, including memory management, CPU/GPU parallelization, and the use of profiling tools. The book teaches readers how to fine-tune their applications for specific hardware architectures and deployment environments.

FAQ's

The book is designed for developers with intermediate to advanced knowledge of Go programming. While beginners can still learn from it, having a solid foundation in Go basics will help readers get the most value from the advanced concepts presented.

Yes, the book focuses heavily on practical applications and real-world scenarios. It includes examples of implementing high-performance patterns in production environments and demonstrates how to optimize existing codebases for better performance.

The book covers modern deployment scenarios extensively, including container optimization, cloud-native performance considerations, and how to effectively use the Go build cache in containerized environments. It also addresses monitoring and maintaining performance in distributed cloud systems.

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