Hands-On High Performance with Go: Boost and optimize the performance of your Golang applications at scale with resilience
Author:   Bob Strecansky
Publisher:   Packt Publishing Limited
ISBN:  

9781789805789


Pages:   406
Publication Date:   24 March 2020
Format:   Paperback
Availability:   Available To Order   Availability explained
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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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Author:   Bob Strecansky
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781789805789


ISBN 10:   1789805783
Pages:   406
Publication Date:   24 March 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Introduction to Performance in Go Data Structures and Algorithms Understanding Concurrency STL Algorithm Equivalents in Go Matrix and Vector Computation in Go Composing Readable Go Code Template Programming in Go Memory Management in Go GPU Parallelization in Go Compile Time Evaluations in Go Building and Deploying Go Code Profiling Go Code Tracing Go Code Clusters and Job Queues Comparing Code Quality Across Versions

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Author Information

Bob Strecansky is a senior site reliability engineer. He graduated with a computer engineering degree from Clemson University with a focus on networking. He has worked in both consulting and industry jobs since graduation. He has worked with large telecom companies and much of the Alexa top 500. He currently works at Mailchimp, working to improve web performance, security, and reliability for one of the world's largest email service providers. He has also written articles for web publications and currently maintains the OpenTelemetry PHP project. In his free time, Bob enjoys tennis, cooking, and restoring old cars. You can follow Bob on the internet to hear musings about performance analysis: Twitter: @bobstrecansky GitHub: @bobstrecansky

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