Organizations undergoing a digital transformation must adopt new and meaningful ways of working. For a successful transformation, in addition to agile processes, teams must also leverage agile engineering techniques and models. Continuous focus on agile engineering principles will provide a solid ground for teams to enhance their agility and deliver better software, faster.
Release management is still critical in a DevOps environment. You likely will just have to change your current process. You will no longer need to track implementation or back-out plans as part of change orders; you just need to be able to track the application, its components, and its promotion schedule. The key to maintaining these change orders is automation.
Balancing time-to-market pressures with regulatory needs and business continuity demands is a challenge for highly regulated large enterprises. Automating processes and mastering proven practices of release management makes developing and releasing software predictable, reliable, and repeatable.
Bernie Zelitch writes that his company’s build system scales well because early on, they scrutinized their build naming convention, saw its implications to the build ecosystem, and made radical changes. Their new naming convention takes some getting used to, but once it was fully adopted, it improved economy, flexibility, and functionality.
Ryan Kenney, senior consultant at Coveros, chats with TechWell community manager Owen Gotimer about the difference between containers, container engines, and container orchestration; using containers in your CI/CD pipelines; and the cost of security.
Agile DevOps focuses on moving changes through the pipeline as quickly as possible, which means that more operational tasks—like software deployment—will occur earlier. As a result, testing teams will begin assuming more responsibility in managing those deployments in order to perfect reputability. Tracy Ragan provides an overview of release automation as it relates to testing and explains how automation is key to achieving faster and leaner testing cycles. She discusses why deploying new code across diverse environments can be really tricky and slow, and how properly implemented release automation will streamline code deployments across the lifecycle. Release automation may sound like a topic important to production control teams, but as processes are shifted left, testing teams will take on more responsibility in continuous deployment and associated infrastructure components.
The cloud is penetrating every technology organization and almost every software product or service. The cloud affects everything inside development, bringing profound changes to how engineers build, test, release, and maintain software and systems.