Latency Reduce delay in software systems (EPUB)

Practical techniques for delivering low latency software.
From first principles to production-ready code,Latencyteaches you how to make your software faster at every layer of the stack. You'll learn what latency really is, how it differs from bandwidth, and why it matters for user experience. Then, guided by practical examples, you'll apply Little's Law, design lock-free algorithms, and architect caching systems that scale. You'll discover how your code runs differently on distributed systems, databases, and operating systems, and understand the common latency-causing issues in each situation.
InLatencyyou'll learn how to:
Define latency, distinguish it from bandwidth, and understand its impact on user experienceModel performance with Little's Law and Amdahl's Law, then measure and visualize delaysOptimize data access with colocation, replication, partitioning, and cachingAccelerate logic with algorithmic improvements, memory tuning, and lock-free concurrencyMinimize delays with asynchronous processing, predictive techniques, and speculative execution
Put simply, latency is the delay between a cause and effect. In practice, too much latency can create problems throughout a software system, ranging from inaccurate calculations and timeouts to impatient users simply abandoning your applications. Latency issues can be challenging to avoid and troubleshoot. This book balances theory with practical implementations, turning academic research into useful techniques you can apply to your projects.
About the technology
From lost microseconds routing server messages to page loads that keep users waiting, latency can kill good software. This one-of-a-kind book shows you how to spot, understand, and fix unwanted latency in your applications and infrastructure.
About the book
Latency: Reduce delay in software systemsshows you how to troubleshoot latency in existing applications and create low latency systems from the ground up. In it, you'll discover high-impact fixes for measuring latency and advanced optimizations in memory management, concurrency models, and predictive execution. The tips and tricks, hands-on projects, and personal insights make this book as enjoyable as it is practical.
What's insideHow to model and measure latencyOrganizing application data for low latencyAccelerating your codeHiding latency
About the reader
For software engineers with a working knowledge of backends. Examples in Rust.
About the author
Pekka Enberghas experience in operating systems, databases, and distributed systems, having worked on the Linux kernel and the Scylla and Turso databases.
Table of Contents
Part 1
1 Introduction
2 Modeling and measuring latency
Part 2
3 Colocation
4 Replication
5 Partitioning
6 Caching
Part 3
7 Eliminating work
8 Wait-free synchronization
9 Exploiting concurrency
Part 4
10 Asynchronous processing
11 Predictive techniques
A Further reading
Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.

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