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Getting software released to users is often a painful, risky, and time-consuming process. This book sets out the principles and technical practices that enable rapid, incremental delivery of high quality, valuable new functionality to users. Through automation of the build, deployment, and testing process, and improved collaboration between developers, testers, and operations, delivery teams can get changes released in a matter of hourssometimes even minutesno matter what the size of a project or the complexity of its code base.
Jez Humble and David Farley begin by presenting the foundations of a rapid, reliable, low-risk delivery process. Next, they introduce the deployment pipeline, an automated process for managing all changes, from check-in to release. Finally, they discuss the ecosystem needed to support continuous delivery, from infrastructure, data and configuration management to governance. The authors introduce state-of-the-art techniques, including automated infrastructure management and data migration, and the use of virtualisation. For each, they review key issues, identify best practices, and demonstrate how to mitigate risks.
Coverage includes
Navigating risk management, compliance, and auditing Whether you're a developer, systems administrator, tester, or manager, this book will help your organisation move from idea to release faster than everso you can deliver value to your business rapidly and reliably.
Winner of the 2011 Jolt Excellence Award !
Getting software released to users is often a painful, risky, and time-consuming process.This groundbreaking new book sets out the principles and technical practices that enable rapid, incremental delivery of high quality, valuable new functionality to users. Through automation of the build, deployment, and testing process, and improved collaboration between developers, testers, and operations, delivery teams can get changes released in a matter of hourssometimes even minutesno matter what the size of a project or the complexity of its code base.
Jez Humble and David Farley begin by presenting the foundations of a rapid, reliable, low-risk delivery process. Next, they introduce the deployment pipeline, an automated process for managing all changes, from check-in to release. Finally, they discuss the ecosystem needed to support continuous delivery, from infrastructure, data and configuration management to governance.
The authors introduce state-of-the-art techniques, including automated infrastructure management and data migration, and the use of virtualization. For each, they review key issues, identify best practices, and demonstrate how to mitigate risks. Coverage includes
Auteur
Dave Farley has been having fun with computers for nearly 30 years. Over that period he has worked on most types of software, from firmware, through tinkering with operating systems and device drivers, to writing games, and commercial applications of all shapes and sizes. He started working in large scale distributed systems about 20 years ago, doing research into the development of loose-coupled, message-based systems - a forerunner of SOA. He has a wide range of experience leading the development of complex software in teams, both large and small, in the UK and USA. Dave was an early adopter of agile development techniques, employing iterative development, continuous integration and significant levels of automated testing on commercial projects from the early 1990s. He honed his approach to agile development in his four and a half year stint at ThoughtWorks where he was a technical principal working on some of their biggest and most challenging projects. Dave is currently working for the London Multi-Asset Exchange (LMAX), an organization that is building one of the highest performance financial exchanges in the world, where they rely upon all of the major techniques described in this book.
Jez Humble has been fascinated by computers and electronics since getting his first ZX Spectrum aged 11, and spent several years hacking on Acorn machines in 6502 and ARM assembler and BASIC until he was old enough to get a proper job. He got into IT in 2000, just in time for the dot com bust. Since then he has worked as a developer, system administrator, trainer, consultant, manager, and speaker. He has worked with a variety of platforms and technologies, consulting for non-profits, telecoms, financial services and on-line retail companies. Since 2004 he has worked for ThoughtWorks and ThoughtWorks Studios in Beijing, Bangalore, London and San Francisco. He holds a BA in Physics and Philosophy from Oxford University and an MMus in Ethnomusicology from the School of Oriental and African Studies, University of London. He is presently living in San Francisco with his wife and daughter.
Texte du rabat
Continuous Delivery shows how tocreate fully automated, repeatable, and reliable processes for rapidly moving changes through build, deploy, test, and release. Using these techniques, software organizations are getting critical fixes and other new releases into production in hours - sometimes evenminutes - evenin large projects with complex code bases.
Jez Humble and David Farley begin by presenting the high-level principles and practices required to succeed with regular, repeatable, low-risk releases. Next, they introduce the "deployment pipeline," an automated process for managing all changes, from check-in to release. Finally, they discuss the "ecosystem" needed to support deployment pipelines, from infrastructure to data management and governance.
The authors introduce many state-of-the-art techniques, including in-production monitoring and tracing, dependency management, and the use of virtualization. For each, they review key issues, demonstrate how to mitigate risks, and identify best practices. Coverage includes
· Overcoming "anti-patterns" that slow down releases and reduce quality
· Automating all facets of configuration management and testing
· Implementing deployment pipelines at team and organizational levels
· Scripting highly-effective automated build and deployment processes
· Triggering automated processes whenever a change is made
· Automating acceptance testing, from analysis to implementation
· Testing capacity and other non-functional requirements
· Utilizing c…