Software Performance Engineering
Download Software Performance Engineering PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Software Performance Engineering book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Performance Engineering
Author: Reiner Dumke
language: en
Publisher: Springer Science & Business Media
Release Date: 2001-05-23
Initially, computer systems performance analyses were carried out primarily because of limited resources. Due to ever increasing functional complexity of computational systems and user requirements, performance engineering continues to play a major role in software development. This book assesses the state of the art in performance engineering. Besides revised chapters drawn from two workshops on performance engineering held in 2000, additional chapters were solicited in order to provide complete coverage of all relevant aspects. The first part is devoted to the relation between software engineering and performance engineering; the second part focuses on the use of models, measures, and tools; finally, case studies with regard to concrete technologies are presented. Researchers, professional software engineers, and advanced students interested in performance analysis will find this book an indispensable source of information and reference.
Software Performance Engineering
DESCRIPTION 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. 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. TABLE OF CONTENTS 1. Introduction to Performance Engineering 2. Performance Driven Development 3. Non-functional Requirements Definition and Tracking 4. Workload Modeling and Projection 5. High Performance Design Patterns 6. Performance Antipatterns 7. Performance in the Clouds 8. Designing Performance Monitoring 9. Tools and Techniques for Code Profiling 10. Performance Testing, Checklist to Best Practices 11. Test Data Management 12. Performance Benchmarking 13. Golden Signals, KPI, Metrics, and Tools 14. Performance Behavioral Correlation 15. Post-Production Management
Technology Strategy Patterns
Technologists who want their ideas heard, understood, and funded are often told to speak the language of businessâ??without really knowing what that is. This bookâ??s toolkit provides architects, product managers, technology managers, and executives with a shared languageâ??in the form of repeatable, practical patterns and templatesâ??to produce great technology strategies. Author Eben Hewitt developed 39 patterns over the course of a decade in his work as CTO, CIO, and chief architect for several global tech companies. With these proven tools, you can define, create, elaborate, refine, and communicate your architecture goals, plans, and approach in a way that executives can readily understand, approve, and execute. This book covers: Architecture and strategy: Adopt a strategic architectural mindset to make a meaningful material impact Creating your strategy: Define the components of your technology strategy using proven patterns Communicating the strategy: Convey your technology strategy in a compelling way to a variety of audiences Bringing it all together: Employ patterns individually or in clusters for specific problems; use the complete framework for a comprehensive strategy