We’re all familiar with the principles of DevOps: building small, well-tested increments, deploying frequently, and automating pipelines to eliminate the need for manual steps. We monitor our applications closely, set up alerts, roll back problematic changes, and receive notifications when issues arise.
However, when it comes to databases, we often lack the same level of control and visibility. Debugging performance issues can be challenging, and we might struggle to understand why databases slow down. Schema migrations and modifications can spiral out of control, leading to significant challenges.