Performance Engineering Best Practices
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Performance Engineering Best Practices
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Author : Nolan V. Jones
language : en
Publisher: BPB Publications
Release Date : 2025-01-22
Performance Engineering Best Practices written by Nolan V. Jones and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Computers categories.
DESCRIPTION Elevate your application's performance with "Performance Engineering Best Practices." This comprehensive guide provides the knowledge and techniques to optimize your software's speed, scalability, and reliability. Learn the skills of performance engineering, refine your craft, identify and eliminate performance bottlenecks, and ensure your applications deliver exceptional user experiences. This book explores Performance Engineering, covering foundational concepts, advanced techniques, and emerging trends. It defines performance engineering versus performance testing, highlights its role in organizational success, and stresses integrating performance throughout development. Key topics include service level objectives (SLOs), cloud performance challenges, and balancing capacity with costs. The book details optimization techniques for cloud platforms, Java, databases, and architectural styles while addressing observability with logging, error handling, and alert strategies. It concludes with insights into AI/ML integration and the impact of evolving technologies. After reading the book, the reader will gain a holistic understanding of performance and what to do with the design process, implementation, and testing stages of the development lifecycle to ensure fast IT platforms. KEY FEATURES ● Learn to build high performance IT platforms, enhance runtime environments, and use Kubernetes effectively. ● Discover methods to accelerate cloud platform delivery while ensuring quality with automated performance checks. ● Understand efficient design patterns and coding practices to maintain fast-running distributed platforms without extensive code refactoring. WHAT YOU WILL LEARN ● Understand the basics of performance engineering and how it differs from Performance Testing. ● Learn to apply performance principles throughout the software development lifecycle (SDLC). ● Explore cloud-specific challenges, like scaling, regional latency, and managing costs. ● Master techniques for optimizing JVM, writing efficient Java code, and database performance. ● Discover tools for performance automation, observability, alerting, and creating scalable architectures. WHO THIS BOOK IS FOR This book is for site reliability engineers, architects, developers, managers, and performance engineers. It showcases a holistic understanding of processes related to performance engineering for building fast IT platforms. TABLE OF CONTENTS 1. Introduction to Performance Engineering 2. Building a Performance Practice 3. Challenges and Realities of Cloud Performance 4. Cloud Environment and Scalability 5. Performance Automation 6. Cloud Web Platform Optimization 7. Java Virtual Machine Optimization 8. Java Code Optimization 9. Database Optimization 10. High Performance Architectures 11. Error Handling and Logging 12. Cloud Observability and Cloud Profiling 13. Alerting Strategies 14. Future Trends in Performance Engineering
Site Reliability Engineering
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Author : Niall Richard Murphy
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-03-23
Site Reliability Engineering written by Niall Richard Murphy and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-23 with Computers categories.
The overwhelming majority of a software systemâ??s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Googleâ??s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. Youâ??ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficientâ??lessons directly applicable to your organization. This book is divided into four sections: Introductionâ??Learn what site reliability engineering is and why it differs from conventional IT industry practices Principlesâ??Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practicesâ??Understand the theory and practice of an SREâ??s day-to-day work: building and operating large distributed computing systems Managementâ??Explore Google's best practices for training, communication, and meetings that your organization can use
Java Performance The Definitive Guide
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Author : Scott Oaks
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2014-04-10
Java Performance The Definitive Guide written by Scott Oaks and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-10 with Computers categories.
Coding and testing are often considered separate areas of expertise. In this comprehensive guide, author and Java expert Scott Oaks takes the approach that anyone who works with Java should be equally adept at understanding how code behaves in the JVM, as well as the tunings likely to help its performance. You’ll gain in-depth knowledge of Java application performance, using the Java Virtual Machine (JVM) and the Java platform, including the language and API. Developers and performance engineers alike will learn a variety of features, tools, and processes for improving the way Java 7 and 8 applications perform. Apply four principles for obtaining the best results from performance testing Use JDK tools to collect data on how a Java application is performing Understand the advantages and disadvantages of using a JIT compiler Tune JVM garbage collectors to affect programs as little as possible Use techniques to manage heap memory and JVM native memory Maximize Java threading and synchronization performance features Tackle performance issues in Java EE and Java SE APIs Improve Java-driven database application performance
Hypercorn Deployment And Performance Engineering
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-24
Hypercorn Deployment And Performance Engineering written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.
"Hypercorn Deployment and Performance Engineering" "Hypercorn Deployment and Performance Engineering" is an essential, modern reference for engineers and architects seeking to master production-grade deployments of ASGI-compatible Python web applications. This comprehensive and authoritative guide reveals the internals of the Hypercorn server, offering a thorough foundation in its architecture, support for multiple concurrency models, and detailed protocol handling for HTTP/1.1, HTTP/2, HTTP/3, and WebSockets. The book demystifies the crucial ASGI specification and uncovers how Hypercorn routes requests and orchestrates seamless application communication, standing as an indispensable resource for those building asynchronous systems. Moving beyond fundamentals, the book dives deep into the intricacies of real-world configuration, performance tuning, and security engineering. Readers will find actionable insights on server settings, extensive protocol tuning options, secure TLS deployment, middleware integration, and the creation of custom logic through extension hooks. With clear walkthroughs for deploying Hypercorn at scale—covering containerization, orchestration via Kubernetes and Nomad, reverse proxy integration, and zero-downtime deployment strategies—the text arms professionals with the knowledge to build robust, high-availability systems in both cloud-native and edge environments. For those committed to operational excellence, the guide also delivers advanced chapters on performance profiling, large-scale incident response, adaptive scaling, resource isolation, and comprehensive observability. In-depth coverage of security topics, from threat modeling to encrypted configuration, ensures safe operations, while a forward-looking section on next-generation trends—including HTTP/3, AI-augmented operations, and zero-trust architectures—makes this work an indispensable asset for today’s and tomorrow’s Python web engineers.
Large Language Models A Deep Dive
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Author : Uday Kamath
language : en
Publisher: Springer Nature
Release Date : 2024-08-20
Large Language Models A Deep Dive written by Uday Kamath and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-20 with Computers categories.
Large Language Models (LLMs) have emerged as a cornerstone technology, transforming how we interact with information and redefining the boundaries of artificial intelligence. LLMs offer an unprecedented ability to understand, generate, and interact with human language in an intuitive and insightful manner, leading to transformative applications across domains like content creation, chatbots, search engines, and research tools. While fascinating, the complex workings of LLMs—their intricate architecture, underlying algorithms, and ethical considerations—require thorough exploration, creating a need for a comprehensive book on this subject. This book provides an authoritative exploration of the design, training, evolution, and application of LLMs. It begins with an overview of pre-trained language models and Transformer architectures, laying the groundwork for understanding prompt-based learning techniques. Next, it dives into methods for fine-tuning LLMs, integrating reinforcement learning for value alignment, and the convergence of LLMs with computer vision, robotics, and speech processing. The book strongly emphasizes practical applications, detailing real-world use cases such as conversational chatbots, retrieval-augmented generation (RAG), and code generation. These examples are carefully chosen to illustrate the diverse and impactful ways LLMs are being applied in various industries and scenarios. Readers will gain insights into operationalizing and deploying LLMs, from implementing modern tools and libraries to addressing challenges like bias and ethical implications. The book also introduces the cutting-edge realm of multimodal LLMs that can process audio, images, video, and robotic inputs. With hands-on tutorials for applying LLMs to natural language tasks, this thorough guide equips readers with both theoretical knowledge and practical skills for leveraging the full potential of large language models. This comprehensive resource is appropriate for a wide audience: students, researchers and academics in AI or NLP, practicing data scientists, and anyone looking to grasp the essence and intricacies of LLMs. Key Features: Over 100 techniques and state-of-the-art methods, including pre-training, prompt-based tuning, instruction tuning, parameter-efficient and compute-efficient fine-tuning, end-user prompt engineering, and building and optimizing Retrieval-Augmented Generation systems, along with strategies for aligning LLMs with human values using reinforcement learning Over 200 datasets compiled in one place, covering everything from pre- training to multimodal tuning, providing a robust foundation for diverse LLM applications Over 50 strategies to address key ethical issues such as hallucination, toxicity, bias, fairness, and privacy. Gain comprehensive methods for measuring, evaluating, and mitigating these challenges to ensure responsible LLM deployment Over 200 benchmarks covering LLM performance across various tasks, ethical considerations, multimodal applications, and more than 50 evaluation metrics for the LLM lifecycle Nine detailed tutorials that guide readers through pre-training, fine- tuning, alignment tuning, bias mitigation, multimodal training, and deploying large language models using tools and libraries compatible with Google Colab, ensuring practical application of theoretical concepts Over 100 practical tips for data scientists and practitioners, offering implementation details, tricks, and tools to successfully navigate the LLM life- cycle and accomplish tasks efficiently
Tools For High Performance Computing 2015
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Author : Andreas Knüpfer
language : en
Publisher: Springer
Release Date : 2016-07-27
Tools For High Performance Computing 2015 written by Andreas Knüpfer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-27 with Computers categories.
High Performance Computing (HPC) remains a driver that offers huge potentials and benefits for science and society. However, a profound understanding of the computational matters and specialized software is needed to arrive at effective and efficient simulations. Dedicated software tools are important parts of the HPC software landscape, and support application developers. Even though a tool is by definition not a part of an application, but rather a supplemental piece of software, it can make a fundamental difference during the development of an application. Such tools aid application developers in the context of debugging, performance analysis, and code optimization, and therefore make a major contribution to the development of robust and efficient parallel software. This book introduces a selection of the tools presented and discussed at the 9th International Parallel Tools Workshop held in Dresden, Germany, September 2-3, 2015, which offered an established forum for discussing the latest advances in parallel tools.
Loyalty 3 0 How To Revolutionize Customer And Employee Engagement With Big Data And Gamification
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Author : Rajat Paharia
language : en
Publisher: McGraw Hill Professional
Release Date : 2013-05-31
Loyalty 3 0 How To Revolutionize Customer And Employee Engagement With Big Data And Gamification written by Rajat Paharia and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-31 with Business & Economics categories.
Learn the secret to using big data and gamification to motivate, engage, and engender true loyalty among your customers, employees, and partners As our lives move online and nearly everything we do is being mediated by technology, all of our activity is generating reams of data – we are all “walking data generators.” Loyalty 3.0 reveals how to combine this “big data” with the latest understanding of human motivation to power gamification - the data-driven motivational techniques used by game designers to stimulate engagement, participation, and activity. With this potent combination, businesses now have a powerful engine for creating true loyalty among their customers, employees, and partners, and for generating a sustainable competitive advantage in their markets. Loyalty 3.0 is a book that will redefine how you think about loyalty, and will open your eyes to the power of data to engage and motivate anyone, anywhere. Rajat Paharia created the gamification industry in 2007 as the founder and Chief Product Officer at Bunchball, which has been recognized as an industry leader and innovator by Fast Company, TechCrunch, MSNBC, Forbes, and many others. Prior to Bunchball, Rajat worked at the intersection of technology, design, and user experience at world-renowned design firm IDEO.
Performance Benchmarking Of Application Monitoring Frameworks
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Author : Jan Waller
language : en
Publisher: BoD – Books on Demand
Release Date : 2014-12-19
Performance Benchmarking Of Application Monitoring Frameworks written by Jan Waller and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-19 with Computers categories.
Application-level monitoring of continuously operating software systems provides insights into their dynamic behavior, helping to maintain their performance and availability during runtime. Such monitoring may cause a significant runtime overhead to the monitored system, depending on the number and location of used instrumentation probes. In order to improve a system’s instrumentation and to reduce the caused monitoring overhead, it is necessary to know the performance impact of each probe. While many monitoring frameworks are claiming to have minimal impact on the performance, these claims are often not backed up with a detailed performance evaluation determining the actual cost of monitoring. Benchmarks can be used as an effective and affordable way for these evaluations. However, no benchmark specifically targeting the overhead of monitoring itself exists. Furthermore, no established benchmark engineering methodology exists that provides guidelines for the design, execution, and analysis of benchmarks. This thesis introduces a benchmark approach to measure the performance overhead of application-level monitoring frameworks. The core contributions of this approach are 1) a definition of common causes of monitoring overhead, 2) a general benchmark engineering methodology, 3) the MooBench micro-benchmark to measure and quantify causes of monitoring overhead, and 4) detailed performance evaluations of three different application-level monitoring frameworks. Extensive experiments demonstrate the feasibility and practicality of the approach and validate the benchmark results. The developed benchmark is available as open source software and the results of all experiments are available for download to facilitate further validation and replication of the results.
Deriving Goal Oriented Performance Models By Systematic Experimentation
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Author : Westermann, Dennis
language : en
Publisher: KIT Scientific Publishing
Release Date : 2014-04-10
Deriving Goal Oriented Performance Models By Systematic Experimentation written by Westermann, Dennis and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-10 with Computers categories.
Performance modelling can require substantial effort when creating and maintaining performance models for software systems that are based on existing software. Therefore, this thesis addresses the challenge of performance prediction in such scenarios. It proposes a novel goal-oriented method for experimental, measurement-based performance modelling. We validated the approach in a number of case studies including standard industry benchmarks as well as a real development scenario at SAP.
Certifying Software Component Performance Specifications
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Author : Groenda, Henning
language : en
Publisher: KIT Scientific Publishing
Release Date : 2014-07-30
Certifying Software Component Performance Specifications written by Groenda, Henning and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-30 with Computers categories.
In component-based software engineering, performance prediction approaches support the design of business information systems on the architectural level. They are based on behavior specifications of components. This work presents a round-trip approach for using, assessing, and certifying the accuracy of parameterized, probabilistic, deterministic, and concurrent performance specifications. Its applicability and effectiveness are demonstrated using the CoCoME benchmark.