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A single dramatic software failure can cost a company millions of dollars - but can be avoided with simple changes to design and architecture. This new edition of the best-selling industry standard shows you how to create systems that run longer, with fewer failures, and recover better when bad things happen. New coverage includes DevOps, microservices, and cloud-native architecture. Stability antipatterns have grown to include systemic problems in large-scale systems. This is a must-have pragmatic guide to engineering for production systems. If you're a software developer, and you don't want to get alerts every night for the rest of your life, help is here. With a combination of case studies about huge losses - lost revenue, lost reputation, lost time, lost opportunity - and practical, down-to-earth advice that was all gained through painful experience, this book helps you avoid the pitfalls that cost companies millions of dollars in downtime and reputation. Eighty percent of project life-cycle cost is in production, yet few books address this topic. This updated edition deals with the production of today's systems - larger, more complex, and heavily virtualized - and includes information on chaos engineering, the discipline of applying randomness and deliberate stress to reveal systematic problems. Build systems that survive the real world, avoid downtime, implement zero-downtime upgrades and continuous delivery, and make cloud-native applications resilient. Examine ways to architect, design, and build software - particularly distributed systems - that stands up to the typhoon winds of a flash mob, a Slashdotting, or a link on Reddit. Take a hard look at software that failed the test and find ways to make sure your software survives. To skip the pain and get the experience...get this book.
Master The Crucial Technical Skills Every Software Architect Needs! To succeed as a software architect, you must master both technical skills and soft skills. Dave Hendricksen illuminated the soft skills in his highly-regarded 12 Essential Skills for Software Architects. Now, in 12 More Essential Skills for Software Architects he turns to the technical side. Drawing on his decades of experience, Hendricksen organizes technical skills into three areas. PROJECT SKILLS: driving projects from ideation through delivery TECHNOLOGY SKILLS: building, buying, and/or leveraging the right technologies VISIONARY SKILLS: realizing an architectural vision that improves long-term competitiveness He helps you develop and sharpen these key technical skills: from conceptualizing solutions to developing platforms and governance, and from selecting technology innovations to infusing architectures with an entrepreneurial spirit. This guide reveals the technical skills you need and provides a coherent framework and practical methodology for mastering them. Taken together, Hendricksen’s two books offer the most complete, practical pathway to excellence in software architecture. They’ll guide you through every step of your architecture career—from getting the right position to thriving once you have it. Essential Architect Skills Visionary Skills Entrepreneurial Execution Technology Innovation Strategic Roadmapping Technology Skills Governance Platform Development Know-how Architectural Perspective Project Skills Estimation Partnership Discovery Management Conceptualization Dave Hendricksen is a big data architect for Thomson Reuters, where he works closely with the firm’s new product development teams to create innovative legal products for large-scale online platforms such as Westlaw.com. Hendricksen presented “Designing and Building Large-Scale Systems in an Agile World” at Carnegie Mellon University’s influential Software Engineering Institute.
What are the ingredients of robust, elegant, flexible, and maintainable software architecture? Beautiful Architecture answers this question through a collection of intriguing essays from more than a dozen of today's leading software designers and architects. In each essay, contributors present a notable software architecture, and analyze what makes it innovative and ideal for its purpose. Some of the engineers in this book reveal how they developed a specific project, including decisions they faced and tradeoffs they made. Others take a step back to investigate how certain architectural aspects have influenced computing as a whole. With this book, you'll discover: How Facebook's architecture is the basis for a data-centric application ecosystem The effect of Xen's well-designed architecture on the way operating systems evolve How community processes within the KDE project help software architectures evolve from rough sketches to beautiful systems How creeping featurism has helped GNU Emacs gain unanticipated functionality The magic behind the Jikes RVM self-optimizable, self-hosting runtime Design choices and building blocks that made Tandem the choice platform in high-availability environments for over two decades Differences and similarities between object-oriented and functional architectural views How architectures can affect the software's evolution and the developers' engagement Go behind the scenes to learn what it takes to design elegant software architecture, and how it can shape the way you approach your own projects, with Beautiful Architecture.
This book introduces basic computing skills designed for industry professionals without a strong computer science background. Written in an easily accessible manner, and accompanied by a user-friendly website, it serves as a self-study guide to survey data science and data engineering for those who aspire to start a computing career, or expand on their current roles, in areas such as applied statistics, big data, machine learning, data mining, and informatics. The authors draw from their combined experience working at software and social network companies, on big data products at several major online retailers, as well as their experience building big data systems for an AI startup. Spanning from the basic inner workings of a computer to advanced data manipulation techniques, this book opens doors for readers to quickly explore and enhance their computing knowledge. Computing with Data comprises a wide range of computational topics essential for data scientists, analysts, and engineers, providing them with the necessary tools to be successful in any role that involves computing with data. The introduction is self-contained, and chapters progress from basic hardware concepts to operating systems, programming languages, graphing and processing data, testing and programming tools, big data frameworks, and cloud computing. The book is fashioned with several audiences in mind. Readers without a strong educational background in CS--or those who need a refresher--will find the chapters on hardware, operating systems, and programming languages particularly useful. Readers with a strong educational background in CS, but without significant industry background, will find the following chapters especially beneficial: learning R, testing, programming, visualizing and processing data in Python and R, system design for big data, data stores, and software craftsmanship.
Terraform has emerged as a key player in the DevOps world for defining, launching, and managing infrastructure as code (IAC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, and Azure. This hands-on book is the fastest way to get up and running with Terraform. Gruntwork co-founder Yevgeniy (Jim) Brikman walks you through dozens of code examples that demonstrate how to use Terraform’s simple, declarative programming language to deploy and manage infrastructure with just a few commands. Whether you’re a novice developer, aspiring DevOps engineer, or veteran sysadmin, this book will take you from Terraform basics to running a full tech stack capable of supporting a massive amount of traffic and a large team of developers. Compare Terraform to other IAC tools, such as Chef, Puppet, Ansible, and Salt Stack Use Terraform to deploy server clusters, load balancers, and databases Learn how Terraform manages the state of your infrastructure and how it impacts file layout, isolation, and locking Create reusable infrastructure with Terraform modules Try out advanced Terraform syntax to implement loops, if-statements, and zero-downtime deployment Use Terraform as a team, including best practices for writing, testing, and versioning Terraform code
In this truly unique technical book, today's leading software architects present valuable principles on key development issues that go way beyond technology. More than four dozen architects -- including Neal Ford, Michael Nygard, and Bill de hOra -- offer advice for communicating with stakeholders, eliminating complexity, empowering developers, and many more practical lessons they've learned from years of experience. Among the 97 principles in this book, you'll find useful advice such as: Don't Put Your Resume Ahead of the Requirements (Nitin Borwankar) Chances Are, Your Biggest Problem Isn't Technical (Mark Ramm) Communication Is King; Clarity and Leadership, Its Humble Servants (Mark Richards) Simplicity Before Generality, Use Before Reuse (Kevlin Henney) For the End User, the Interface Is the System (Vinayak Hegde) It's Never Too Early to Think About Performance (Rebecca Parsons) To be successful as a software architect, you need to master both business and technology. This book tells you what top software architects think is important and how they approach a project. If you want to enhance your career, 97 Things Every Software Architect Should Know is essential reading.
The practical, how-to guide to putting Lean Software Development to work - by its legendary creators, Mary and Tom Poppendieck * *Packed with new real-world examples from the authors' worldwide consulting engagements. *Goes far beyond generic implementation guidelines to demonstrate exactly how 'lean' works in actual software projects. *Introduces powerful tools for successfully leading lean software projects. *Shows how to rethink software scheduling and finally make it work. Building on their breakthrough best-seller Implementing Lean Software Development , Mary and Tom Poppendieck show software leaders how to quickly identify the biggest opportunities for improvement in their development organizations. Next, the Poppendiecks guide leaders through the more complex process of making the changes that are necessary - and making them stick. Leading Lean Software Development offers an even greater emphasis on practical, 'how-to' advice that reflects the authors' even more extensive experience putting lean software development to work in real organizations. IT leaders will also find all-new coverage of the tools that are now available for successfully leading lean software organizations and relentlessly improving software development processes for years to come. Coverage includes: * *How software managers and engineers can apply lean principles and practices to run software projects more effectively. *Success stories demonstrating the application of lean values and practices. *Understanding the role of both systems and people in software process improvement. *Rethinking software project scheduling.

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