While writing software has always been a complicated process, the Internet has made it even more complex. This isn’t to say that coding is more difficult these days. In fact, some might argue that coding itself is easier than ever thanks to the availability of development tools and automation support.

Instead, software development is more complex because delivery requires additional thought and execution. In the past, software would undergo a development cycle with the final step being released to the end user. With today’s always-on digital environment, modern software often undergoes multiple development cycle processes before deployment, during deployment and after deployment.

Progressive Delivery: Pros and Cons

Progressive delivery is the practice of releasing software and updates in pieces. This can be done thanks to connected technology and automatic updates, and it allows developers to fine tune software as issues come along. The benefit to the user is that updates and fixes can be pushed out without the need to make an additional purchase or manually install updated or corrected software.

The other benefit of software progressive delivery tactics is that users are able to get fixes faster, and developers can speed along deployment with the knowledge that issues can be corrected or addressed in the future. The downside to software progressive delivery strategies is that they can be tough to manage for large operations, and great care must be used as changes to live code can break things in a major way. Find the best software progressive delivery by visiting this website.

Common Progressive Delivery Strategies

There are a few common ways in which progressive delivery is carried out, including through the percentage and canary models. Both of these approaches only rollout new releases to small numbers of users at a time. The goal is to see how the rollout performs, and if problems are documented, a fix can be implemented before the wider user base receives the update.

In the canary model, serious problems may necessitate a rollback to a previous stable version of a release. In either case, the goal is to limit exposure to problems and mitigate any fallout of code errors before they have a chance to affect the consumer base as a whole.

Read a similar article about trunk based development here at this page.