Database Continuous Integration
DevOps concepts such as Agile, Continuous Integration and Continuous Delivery means new applications and application updates can be released faster and faster. This improves the customer experience by putting innovative features into theirs more often.
However, in the quest to achieve Continuous Integration many IT teams struggle to maintain and align database code with the application code because their schema management processes are not repeatable.
Even if a database change is virtually identical to a thousand previous changes, it must be approached as a new process, which can lead to inconsistent configurations. A single database failure can lead to even more failures downstream, resulting in expenditures on the order of hundreds of hours spent troubleshooting. All in, database schema management further hinders organization from realizing the benefits of Continuous Integration.
Database Continuous Integration with Datical
With Datical, development teams manage database releases in the same way they manage application code. The result; database deployments can be transformed into a consistent and repeatable process.
Database releases become more routine and less risky. With Datical, application developers can forecast the impact of database schema and logic changes prior to their deployment, eliminating the possibility of promoting bad changes to Production.
The ability to track every change and create a history of database code changes in an automated fashion means DBA teams can comply with audits in a simple and risk-averse manner.
Datical brings Continuous Integration to the database, increasing the speed and quality of the total build environment process. By further providing self-service controls through ready to use Continuous Integration layer plugins with popular tools such as CA Automic, IBM Urbancode Jenkins, and XebiaLabs XL Deploy developers can version both their database schema and logic changes—alongside application changes—like code, which means more autonomy, less dependence on infrastructure teams, and faster releases.