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- Hands-On High Performance with Go. Boost and optimize the performance of your Golang applications at scale with resilience
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Hands-On High Performance with Go. Boost and optimize the performance of your Golang applications at scale with resilience
Ebook
Go is an easy-to-write language that is popular among developers thanks to its features such as concurrency, portability, and ability to reduce complexity. This Golang book will teach you how to construct idiomatic Go code that is reusable and highly performant.
Starting with an introduction to performance concepts, you’ll understand the ideology behind Go’s performance. You’ll then learn how to effectively implement Go data structures and algorithms along with exploring data manipulation and organization to write programs for scalable software. This book covers channels and goroutines for parallelism and concurrency to write high-performance code for distributed systems. As you advance, you’ll learn how to manage memory effectively. You’ll explore the compute unified device architecture (CUDA) application programming interface (API), use containers to build Go code, and work with the Go build cache for quicker compilation. You’ll also get to grips with profiling and tracing Go code for detecting bottlenecks in your system. Finally, you’ll evaluate clusters and job queues for performance optimization and monitor the application for performance regression.
By the end of this Go programming book, you’ll be able to improve existing code and fulfill customer requirements by writing efficient programs.
Starting with an introduction to performance concepts, you’ll understand the ideology behind Go’s performance. You’ll then learn how to effectively implement Go data structures and algorithms along with exploring data manipulation and organization to write programs for scalable software. This book covers channels and goroutines for parallelism and concurrency to write high-performance code for distributed systems. As you advance, you’ll learn how to manage memory effectively. You’ll explore the compute unified device architecture (CUDA) application programming interface (API), use containers to build Go code, and work with the Go build cache for quicker compilation. You’ll also get to grips with profiling and tracing Go code for detecting bottlenecks in your system. Finally, you’ll evaluate clusters and job queues for performance optimization and monitor the application for performance regression.
By the end of this Go programming book, you’ll be able to improve existing code and fulfill customer requirements by writing efficient programs.
- 1. Introduction to Performance in Go
- 2. Data Structures and Algorithms
- 3. Understanding Concurrency
- 4. STL Algorithm Equivalents in Go
- 5. Matrix and Vector Computation in Go
- 6. Composing Readable Go Code
- 7. Template Programming in Go
- 8. Memory Management in Go
- 9. GPU Parallelization in Go
- 10. Compile Time Evaluations in Go
- 11. Building and Deploying Go Code
- 12. Profiling Go Code
- 13. Tracing Go Code
- 14. Clusters and Job Queues
- 15. Comparing Code Quality Across Versions
- Title: Hands-On High Performance with Go. Boost and optimize the performance of your Golang applications at scale with resilience
- Author: Bob Strecansky
- Original title: Hands-On High Performance with Go. Boost and optimize the performance of your Golang applications at scale with resilience
- ISBN: 9781789801774, 9781789801774
- Date of issue: 2020-03-24
- Format: Ebook
- Item ID: e_2abw
- Publisher: Packt Publishing