Code Quality is maintained since any build which has failing tests are not allowed to get checked in to source control repository. Every code commit triggers an automated build in a separate CI server and executes the unit and integration tests. Since the code is checked in and integrated more often in smaller pieces, it is easier to identify and resolve issues at an earlier stage.
The objective of this article is to help you understand the problems with traditional database development, why organizations are moving towards achieving Continuous Integration, the problems it tries to solve and learn about the toolsets which will assist you in this journey towards painless database deployments.Ĭontinuous Integration is a development practice which encourages developers to check in code changes to source control as frequently as possible. If the answer to any of the above questions is a Yes, then this article is a good starting point for you.
Do you want to make your deployments risk free? Do you want to deliver business values to your customers faster? Do you want to increase the efficiency of your Team? Are your application and database deployment separate processes? Do you encounter issues while deploying your database changes? Is your database slowing you down?
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