APM Best Practices
APM Best Practices

Author: Michael J. Sydor

Publisher: Apress

Published: 2011-08-22

Total Pages: 487

ISBN-13: 1430231424

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The objective of APM Best Practices: Realizing Application Performance Management is to establish reliable application performance management (APM) practices—to demonstrate value, to do it quickly, and to adapt to the client circumstances. It's important to balance long-term goals with short-term deliverables, but without compromising usefulness or correctness. The successful strategy is to establish a few reasonable goals, achieve them quickly, and then iterate over the same topics two more times, with each successive iteration expanding the skills and capabilities of the APM team. This strategy is referred to as “Good, Better, Best”. The application performance monitoring marketplace is very focused on ease of installation, rapid time to usefulness, and overall ease of use. But these worthy platitudes do not really address the application performance management processes that ensure that you will deploy effectively, synergize on quality assurance test plans, triage accurately, and encourage collaboration across the application life cycle that ultimately lowers overall application cost and ensures a quality user experience. These are also fine platitudes but these are the ones that are of interest to your application sponsors. These are the ones for which you need to show value. This CA Press book employs this iterative approach, adapted pragmatically for the realities of your organizational and operational constraints, to realize a future state that your sponsors will find useful, predictable and manageable—and something that they will want to fund. In the meantime, you will learn the useful techniques needed to set up and maintain a useful performance management system utilizing best practices regardless of the software provider(s).

Data Engineering Best Practices
Data Engineering Best Practices

Author: Richard J. Schiller

Publisher: Packt Publishing Ltd

Published: 2024-10-11

Total Pages: 550

ISBN-13: 1803247363

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Explore modern data engineering techniques and best practices to build scalable, efficient, and future-proof data processing systems across cloud platforms Key Features Architect and engineer optimized data solutions in the cloud with best practices for performance and cost-effectiveness Explore design patterns and use cases to balance roles, technology choices, and processes for a future-proof design Learn from experts to avoid common pitfalls in data engineering projects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionRevolutionize your approach to data processing in the fast-paced business landscape with this essential guide to data engineering. Discover the power of scalable, efficient, and secure data solutions through expert guidance on data engineering principles and techniques. Written by two industry experts with over 60 years of combined experience, it offers deep insights into best practices, architecture, agile processes, and cloud-based pipelines. You’ll start by defining the challenges data engineers face and understand how this agile and future-proof comprehensive data solution architecture addresses them. As you explore the extensive toolkit, mastering the capabilities of various instruments, you’ll gain the knowledge needed for independent research. Covering everything you need, right from data engineering fundamentals, the guide uses real-world examples to illustrate potential solutions. It elevates your skills to architect scalable data systems, implement agile development processes, and design cloud-based data pipelines. The book further equips you with the knowledge to harness serverless computing and microservices to build resilient data applications. By the end, you'll be armed with the expertise to design and deliver high-performance data engineering solutions that are not only robust, efficient, and secure but also future-ready.What you will learn Architect scalable data solutions within a well-architected framework Implement agile software development processes tailored to your organization's needs Design cloud-based data pipelines for analytics, machine learning, and AI-ready data products Optimize data engineering capabilities to ensure performance and long-term business value Apply best practices for data security, privacy, and compliance Harness serverless computing and microservices to build resilient, scalable, and trustworthy data pipelines Who this book is for If you are a data engineer, ETL developer, or big data engineer who wants to master the principles and techniques of data engineering, this book is for you. A basic understanding of data engineering concepts, ETL processes, and big data technologies is expected. This book is also for professionals who want to explore advanced data engineering practices, including scalable data solutions, agile software development, and cloud-based data processing pipelines.

Site Reliability Engineering
Site Reliability Engineering

Author: Niall Richard Murphy

Publisher: "O'Reilly Media, Inc."

Published: 2016-03-23

Total Pages: 552

ISBN-13: 1491951176

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The overwhelming majority of a software system’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 Google’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. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use

Application Performance Management (APM) in the Digital Enterprise
Application Performance Management (APM) in the Digital Enterprise

Author: Rick Sturm

Publisher: Morgan Kaufmann

Published: 2017-02-11

Total Pages: 304

ISBN-13: 0128040815

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Application Performance Management (APM) in the Digital Enterprise enables IT professionals to be more successful in managing their company's applications. It explores the fundamentals of application management, examines how the latest technological trends impact application management, and provides best practices for responding to these changes. The recent surge in the use of containers as a way to simplify management and deploy applications has created new challenges, and the convergence of containerization, cloud, mobile, virtualization, analytics, and automation is reshaping the requirements for application management. This book serves as a guide for understanding these dramatic changes and how they impact the management of applications, showing how to create a management strategy, define the underlying processes and standards, and how to select the appropriate tools to enable management processes. - Offers a complete framework for implementing effective application management using clear tips and solutions for those responsible for application management - Draws upon primary research to give technologists a current understanding of the latest technologies and processes needed to more effectively manage large-scale applications - Includes real-world case studies and business justifications that support application management investments

Software Configuration Management Patterns
Software Configuration Management Patterns

Author: Steve Berczuk

Publisher: Addison-Wesley Professional

Published: 2020-05-21

Total Pages: 256

ISBN-13: 0136755364

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Stereotypes portray software engineers as a reckless lot, and stereotypes paint software configuration management (SCM) devotees as inflexible. Based on these impressions, it is no wonder that projects can be riddled with tension! The truth probably lies somewhere in between these stereotypes, and this book shows how proven SCM practices can foster a healthy team-oriented culture that produces better software. The authors show that workflow, when properly managed, can avert delays, morale problems, and cost overruns. A patterns approach (proven solutions to recurring problems) is outlined so that SCM can be easily applied and successfully leveraged in small to medium sized organizations. The patterns are presented with an emphasis on practicality. The results speak for themselves: improved processes and a motivated workforce that synergize to produce better quality software.

High Performance with Java
High Performance with Java

Author: Dr. Edward Lavieri Jr.

Publisher: Packt Publishing Ltd

Published: 2024-07-30

Total Pages: 307

ISBN-13: 1835462553

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Take your Java programming skills to the next level and learn to overcome real-world challenges to optimize application performance Key Features Leverage key features of the Java Virtual Machine to maximize runtime performance Unlock optimization strategies to effectively manage objects and memory use Apply your knowledge to utilize frameworks and libraries ripe for increasing program performance Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionBuilding high performance into your applications is key to creating an optimal user experience, although it is not the only consideration for the performant nature of your apps. High performance applications can lead to cost-effective resource utilization, especially when scalability and cloud computing are involved. They can also provide highly reliable systems that are easier to maintain. High Performance with Java begins by helping you explore the Java Virtual Machine (JVM) and understand how to push it to its limits to further optimize your programs. You’ll take a hands-on approach to go through memory optimization strategies, input/output operations, concurrency, networking, as well as frameworks and libraries focused on performance. You’ll also learn key strategies and best practices by using industry-relevant examples to architect scalable and resource-efficient applications. The concluding chapters provide valuable insights on optimizing your Java code when interacting with databases and show you how to leverage artificial intelligence (AI) for high performance Java applications. By the end of this book, you’ll grasp the importance of developing high performance Java applications and gain practical experience in implementing key strategies to help ensure your Java applications perform optimally.What you will learn Explore optimization strategies for garbage collection and the JIT compiler Discover best practices when using data structures for high performance Test and compare various approaches to using loops Understand how and when to use object pooling Discern the difference between low-performance and high-performance algorithms Uncover strategies for object creation and immutability to improve performance Gain hands-on experience in avoiding memory leaks Who this book is for This book is for developers, software engineers, and software architects looking to take their Java skills to the next level. Aimed at individuals with a string grasp of Java fundamentals, this book is a practical guide to helping you write high-performing applications.

The Modern Data Center: A Comprehensive Guide
The Modern Data Center: A Comprehensive Guide

Author: Charles Nehme

Publisher: Charles Nehme

Published:

Total Pages: 136

ISBN-13:

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Purpose of the Book In today's digital age, data centers are the backbone of virtually every industry, from finance and healthcare to entertainment and retail. This book, "The Modern Data Center: A Comprehensive Guide," aims to provide a thorough understanding of the complexities and innovations that define contemporary data centers. Whether you are an IT professional, a data center manager, or a technology enthusiast, this guide is designed to equip you with the knowledge necessary to navigate and excel in the ever-evolving landscape of data centers. The Evolution and Significance of Modern Data Centers Data centers have come a long way since the early days of computing. What began as simple server rooms has evolved into sophisticated, multi-layered environments that support a wide range of applications and services critical to modern business operations. The significance of data centers cannot be overstated—they are integral to the functioning of the internet, cloud services, and the digital infrastructure that supports our daily lives. Target Audience This book is tailored for a diverse audience: IT Professionals: Gain in-depth knowledge of the latest technologies and best practices in data center design, management, and operations. Data Center Managers: Discover strategies for optimizing performance, enhancing security, and ensuring compliance. Technology Enthusiasts: Understand the foundational concepts and future trends shaping the data center industry. Structure of the Book "The Modern Data Center: A Comprehensive Guide" is divided into five parts, each focusing on a different aspect of data centers: Foundations of Data Centers: Covers the historical evolution, core components, and architectural frameworks. Design and Planning: Discusses site selection, design principles, and capacity planning. Technologies and Trends: Explores virtualization, cloud computing, automation, and networking innovations. Operations and Management: Details day-to-day operations, monitoring, security, and compliance. Future Directions: Looks at emerging technologies, sustainability, and future trends in data center development. Key Topics Covered Historical Context: Learn about the origins and development of data centers. Core Components: Understand the essential elements that make up a data center. Modern Architectures: Explore traditional and cutting-edge data center architectures. Design and Efficiency: Discover best practices for designing scalable and sustainable data centers. Operational Excellence: Gain insights into effective data center management and operations. Technological Innovations: Stay updated on the latest trends and technologies transforming data centers. Future Insights: Prepare for the future with predictions and expert insights into the next generation of data centers. Our Journey Together As we embark on this journey through the world of modern data centers, you will gain a comprehensive understanding of how these critical infrastructures operate, evolve, and shape the future of technology. Each chapter builds on the last, providing a layered approach to learning that ensures you have a well-rounded grasp of both the theoretical and practical aspects of data centers. Thank you for choosing "The Modern Data Center: A Comprehensive Guide." Let’s dive into the intricate and fascinating world of data centers, where technology, innovation, and strategic planning converge to power the digital age.