DEVOPSdigest

In the DevOps rapid iteration cycle, too many organizations push their software and services out without being able to properly test for bugs that will show up with production traffic. This can cause unanticipated downtime, which means it's a big risk; it could take down the whole service. And no one wants that. So, what can be done? ...

In today's competitive landscape, businesses must have the ability and process in place to face new challenges and find ways to successfully tackle them in a proactive manner. For years, this has been placed on the shoulders of DevOps teams within IT departments. But, as automation takes over manual intervention to increase speed and efficiency, these teams are facing what we know as IT digitization. How has this changed the way companies function over the years, and what do we have to look forward to in the coming years? ...

Most (85 percent) of organizations have adopted, or plan to adopt, a product-centric application delivery model, according to a survey by Gartner, Inc. Although full adoption is rare, overall, survey respondents use the product-centric model for 40 percent of their work in 2018. Gartner predicts that this figure will reach 80 percent by 2022 ...

While nearly 70 percent of respondents said their organizations have adopted, or at least have begun to adopt, cloud native infrastructure, more than 30 percent of respondents still have not adopted any sort of cloud native infrastructure, according to a new report, How Companies Adopt and Apply Cloud Native Infrastructure, from O’Reilly ...

The expert stage of test automation is all about continuous optimization. More specifically, this phase is about collecting data about your existing process, analyzing that data to derive quality insights, applying those insights to improve your practice and then measuring these improvements as part of repeating the cycle again. There are three key steps to realize continuous optimization ...

By now, the concept of experimentation in software development is fairly well known. Most development teams understand at a high level the benefits that can be achieved through experimentation. Perhaps the most important of those is the ability to identify positive or negative impacts of a feature — in terms of both app performance and customer experience — earlier in the development process ...

In the current landscape where there is constant pressure to deliver faster and more frequently, without compromising value, companies need a way to control the overall process from the development level up to c-suite. To make it work, they are turning to value stream management ...