"Most of the time, databases are considered separate entities with their own development cycles. As a result, there is a major disconnect between database development and DevOps. You often see a situation where the application gets updated quickly with bug fixes and new features, yet the databases are lagging behind, slowing down the release process. The Isolation of databases from DevOps created a gap between the application developers and database admins/devs that led to bottlenecks and errors in the development process."
"Developers often have to wait a long time for database modifications, resulting in delays in development. In situations where multiple database changes overlap, the lack of collaboration and communication ultimately leads to errors, crashes, and downtime. To mitigate all these issues and get all your teams to collaborate effectively, you need to include the database as an integral part of your DevOps pipeline. In this article, we will explore using GitLab to create an end-to-end DevOps pipeline extending to the database via DBmaestro."
Databases are often treated as separate entities with their own development cycles, creating a major disconnect from DevOps. Applications can be updated rapidly while databases lag behind, slowing release processes. Separation between application developers and database administrators leads to bottlenecks, overlapping changes, errors, crashes, and downtime. Including the database as an integral part of the DevOps pipeline reduces delays and improves collaboration across teams. GitLab provides a single-platform DevOps solution with a web-based git repository, CI/CD, reporting, security tools, and third-party integrations. Extending the pipeline to the database via DBmaestro enables end-to-end release automation and coordination.
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