Software Performance Engineering: A comprehensive guide for high-performance developmentКНИГИ » ПРОГРАММИНГ
Название: Software Performance Engineering: A comprehensive guide for high-performance development Автор: Alon Rotem Издательство: BPB Publications Год: 2025 Страниц: 521 Язык: английский Формат: epub (true) Размер: 10.1 MB
This book introduces the concept of Software Performance Engineering throughout the development process. Software performance yields from a wide range of factors: from hardware through coding standards, runtime frameworks, design patterns, quality assurance and testing, and system architectural patterns, to name a few. This book takes a holistic view of the entire software development lifecycle, learning each of its phases, to understand the technologies, techniques, and tools available, and how we can use them to improve the behavior and performance of our system.
Technical hands-on chapters introduce tools and libraries, showing practical examples of how to set them up and use them with ease, while theoretical chapters include comprehensive information and deep explanations of a broad selection of concepts, all accompanied by relevant charts, screenshots, and code samples. Key sections cover performance monitoring design using tools like OpenTelemetry, detailed code profiling techniques, and best practices for performance testing and test data management. You will also learn about the performance benchmarking types, KPIs/metrics analysis, and behavioral correlation.
Upon completing this book, you will possess the practical skills to proactively integrate performance into every development stage, diagnose complex issues, and manage system performance effectively post-production. Code snippets are mainly written in Python, as the book focuses on current technologies, delving into concepts of cloud computing, design patterns, and best practices, in order to learn how to optimize the entire software delivery process, end-to-end.
Many people know about Python, but not as many have heard the term CPython, and many who have, confuse between the two. Python is an interpreted language, meaning that in order to execute a Python program, we need to run the source code through an interpreter, which reads and executes what it finds. Knowing the programming language specifications, anyone can build a compatible Python interpreter in any language, and indeed, there are several implementations of Python out there: Jython (which is a Python interpreter built in Java, to execute on a Java virtual machine), IronPython (which is a Python interpreter built in C#, to integrate Python runtime into the Microsoft .NET framework), but the most popular Python implementation, by far, is CPython. It is a Python interpreter written in C, as the name implies, and it is the interpreter we get, when we download and install Python from the main website, at python.org.
What you will learn:
- Define performance requirements, metrics, and KPIs. - Useful design patterns and bad practices to avoid. - Utilize cloud services for performance. - Tools for optimizing code and testing. - Live telemetry, monitoring, measuring, dashboarding, and predicting.
Who this book is for: This book is for performance engineers, software developers, QA engineers, and solution architects aiming to identify bottlenecks and optimize application performance. Readers will benefit from prior knowledge of distributed systems, microservices, and basic non-functional engineering concepts.
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Software Performance Engineering: A comprehensive guide for high-performance development 
