Application Lifecycle Management

In modern software development, changes to the code base of a project occur quickly as a result of high levels of end-user feedback and shifting needs. Agile has become an increasingly important software development lifecycle management methodology, and using automation to manage a code repository allows continuous integration to take center stage without imposing costs due to human error.

Agile software development methodologies grew out of lean principles pioneered in business and industry over the past seventy years, and they are now often referred to as lean’s digital counterpart. By better understanding the philosophy behind lean, developers can gain insight into agile and its uses and pitfalls, making the most of its practice for their team.

The biggest challenges of current application lifecycle management processes are dispersion of teams, muddied transitions, and the constant movement of information and artifacts. Project management tools compensate for this constant exchange by providing artifact repositories, streamlined task management, and visibility across the board.

You might know the phenomenon of database drift as version creep—or simply that sinking feeling when the production system isn’t in the state you expect it to be. If you’re having drift problems, the odds are that there’s a technical, process, or change management issue somewhere farther up the chain.