Topic
DevOps
About: DevOps is a research topic. Over the lifetime, 1514 publications have been published within this topic receiving 15865 citations.
Papers published on a yearly basis
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Book•
27 Jul 2010
TL;DR: This groundbreaking new book sets out the principles and technical practices that enable rapid, incremental delivery of high quality, valuable new functionality to users, and introduces state-of-the-art techniques, including automated infrastructure management and data migration, and the use of virtualization.
Abstract: 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 hours sometimes 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 Automating all facets of building, integrating, testing, and deploying software Implementing deployment pipelines at team and organizational levels Improving collaboration between developers, testers, and operations Developing features incrementally on large and distributed teams Implementing an effective configuration management strategy Automating acceptance testing, from analysis to implementation Testing capacity and other non-functional requirements Implementing continuous deployment and zero-downtime releases Managing infrastructure, data, components and dependencies Navigating risk management, compliance, and auditing Whether youre a developer, systems administrator, tester, or manager, this book will help your organization move from idea to release faster than everso you can deliver value to your business rapidly and reliably.
889 citations
TL;DR: How the popular emerging technology Docker combines several areas from systems research - such as operating system virtualization, cross-platform portability, modular re-usable elements, versioning, and a 'DevOps' philosophy, to address these challenges is examined.
Abstract: As computational work becomes more and more integral to many aspects of scientific research, computational reproducibility has become an issue of increasing importance to computer systems researchers and domain scientists alike Though computational reproducibility seems more straight forward than replicating physical experiments, the complex and rapidly changing nature of computer environments makes being able to reproduce and extend such work a serious challenge In this paper, I explore common reasons that code developed for one research project cannot be successfully executed or extended by subsequent researchers I review current approaches to these issues, including virtual machines and workflow systems, and their limitations I then examine how the popular emerging technology Docker combines several areas from systems research - such as operating system virtualization, cross-platform portability, modular re-usable elements, versioning, and a 'DevOps' philosophy, to address these challenges I illustrate this with several examples of Docker use with a focus on the R statistical environment
729 citations
TL;DR: How the researchers adopted DevOps and how this facilitated a smooth migration to microservices architecture is explained.
Abstract: When DevOps started gaining momentum in the software industry, one of the first service-based architectural styles to be introduced, be applied in practice, and become popular was microservices. Migrating monolithic architectures to cloud-native architectures such as microservices reaps many benefits, such as adaptability to technological changes and independent resource management for different system components. This article reports on experiences and lessons learned during incremental migration and architectural refactoring of a commercial MBaaS (mobile back end as a service) to microservices. It explains how adopting DevOps facilitated a smooth migration. Furthermore, the researchers transformed their experiences in different projects into reusable migration practices, resulting in microservices migration patterns. This article is part of a theme issue on DevOps. The Web extra at https://youtu.be/MF3-dKTCQ88 is an audio recording of Brian Brannon speaking with author Pooyan Jamshidi and James Lewis, principal engineer at ThoughtWorks, about DevOps and microservices architecture.
572 citations
TL;DR: It is argued a similar continuity is required between business strategy and development, BizDev being the term the authors coin for this, and a number of continuous activities are identified which together are labelled as ‘Continuous * ’ (i.e. Continuous Star) which are presented as part of an overall roadmap for Continuous Software engineering.
526 citations
Book•
18 May 2015
TL;DR: The First Complete Guide to DevOps for Software Architects provides the organizational, technical, and operational context needed to deploy DevOps more efficiently, and review DevOps impact on each development phase.
Abstract: The First Complete Guide to DevOps for Software Architects DevOps promises to accelerate the release of new software features and improve monitoring of systems in production, but its crucial implications for software architects and architecture are often ignored In DevOps: A Software Architects Perspective, three leading architects address these issues head-on The authors review decisions software architects must make in order to achieve DevOps goals and clarify how other DevOps participants are likely to impact the architects work They also provide the organizational, technical, and operational context needed to deploy DevOps more efficiently, and review DevOps impact on each development phase The authors address cross-cutting concerns that link multiple functions, offering practical insights into compliance, performance, reliability, repeatability, and security This guide demonstrates the authors ideas in action with three real-world case studies: datacenter replication for business continuity, management of a continuous deployment pipeline, and migration to a microservice architecture Comprehensive coverage includes Why DevOps can require major changes in both system architecture and IT roles How virtualization and the cloud can enable DevOps practices Integrating operations and its service lifecycle into DevOps Designing new systems to work well with DevOps practices Integrating DevOps with agile methods and TDD Handling failure detection, upgrade planning, and other key issues Managing consistency issues arising from DevOps independent deployment models Integrating security controls, roles, and audits into DevOps Preparing a business plan for DevOps adoption, rollout, and measurement
466 citations