Latency: Reduce Delay in Software Systems
Latency: Reduce Delay in Software Systems
- How to model and measure latency
- Organizing your application data for low latency
- Making your code run faster
- Hiding latency when you can't reduce it 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 book Latency shows you how to troubleshoot latency issues in existing systems, and how to create low latency systems from the ground up. 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. Hands-on projects help you apply what you learn. You'll write a latency benchmark harness to measure and visualize latency; and use colocation, partitioning, and caching to reduce latency in a REST API. Plus, tips, tricks, and author Pekka Enberg's personal insights on latency ensure this book will remain a handy reference long after you've finished reading! About the reader For software engineers with a working knowledge of backends. Examples in Rust. About the author Pekka Enberg is a software professional with a background and experience in operating systems, databases, and distributed systems and a research interest in low-latency networked systems. In the past, Pekka has worked on the Linux kernel as a maintainer of the dynamic memory allocator subsystem and on ScyllaDB, an Apache Cassandra-compatible, distributed database focusing on low-latency and high throughput. 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
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- How to model and measure latency
- Organizing your application data for low latency
- Making your code run faster
- Hiding latency when you can't reduce it 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 book Latency shows you how to troubleshoot latency issues in existing systems, and how to create low latency systems from the ground up. 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. Hands-on projects help you apply what you learn. You'll write a latency benchmark harness to measure and visualize latency; and use colocation, partitioning, and caching to reduce latency in a REST API. Plus, tips, tricks, and author Pekka Enberg's personal insights on latency ensure this book will remain a handy reference long after you've finished reading! About the reader For software engineers with a working knowledge of backends. Examples in Rust. About the author Pekka Enberg is a software professional with a background and experience in operating systems, databases, and distributed systems and a research interest in low-latency networked systems. In the past, Pekka has worked on the Linux kernel as a maintainer of the dynamic memory allocator subsystem and on ScyllaDB, an Apache Cassandra-compatible, distributed database focusing on low-latency and high throughput. 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
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