Many small teams are successful at implementing DevOps practices such as continuous integration. However, enterprises may find implementing DevOps best practices to be much more challenging. This article will help you understand how to be successful implementing DevOps in the enterprise.
In this article, Shawn Edmondson describes how the rise of DevOps can be measured right alongside the rise of cloud in its level of mainstream acceptance. Learn how DevOps takes a common sense approach to development while using agile methodologies and automation at the same time.
As compared to other development methods, agile is clear, straightforward, and rewarding for all of those who are involved in the process. Most of you know this already—that’s why you’re here! Clearly, a successful transition to agile requires a strong organizational commitment and a number of management and development changes. With that in mind, the white-hot movement to this trend over the past year continues to amaze me. In striking parallel, the industry has seen this same sort of resonance around the trend to the “cloud”—secure anywhere access by distributed teams to a centralized set of services and compute resources that span the complete lifecycle of the development and deployment process.
How do companies face the challenge of setting up their infrastructure when they've just started agile development? One option is to move your infrastructure to the cloud. In this article, we help you decide what's the best fit for your team and project by addressing this issue head on.
As organizations grow and diversify, they end up with a large number of IT systems. However, by quantifying sustainability metrics, they can optimize their IT infrastructures and introduce a greener side of IT.
Creating services in the cloud enables new capabilities and features to improve your product and empower your team. But the cloud also introduces challenges as to how to build and test such services. This introduction to the cloud shows how you can leverage this powerful technology and addresses how the cloud affects software development, testing, and the team.
With so many technologies branded as “cloud” products, it can be difficult to distinguish good technology from good marketing. The resulting confusion complicates the work of software development teams who are trying not only to architect software effectively but also trying to accelerate...
Bill Wilder, Development Partners Software Corporation
Jim Trentadue describes the first year his organization used the cloud for its non-production needs: development, testing, training, and production support. Jim begins by describing the components of a cloud environment and how it differs from a traditional physical server structure.
Testing in production for online applications has evolved into a critical component of successful performance testing strategies. Dan Bartow explains the fundamentals of cloud computing, its application to full-scale performance validation, and the practices and techniques needed to design...
Many believe that regression testing an application with minimal data is sufficient. With big data applications, the data testing methodology becomes far more complex. Testing can now be done within the data fabrication process as well as in the data delivery process.