As your business continues to drive the adoption of DevOps methodologies, such as Continuous Integration and Continuous Deployment, the need to include databases into those processes has become even more important. But the database development lifecycle can become a bottleneck in an otherwise agile delivery process. As such, you’re under increasing pressure to shorten delivery timelines even further, only increasing the stakes in an already high-stress, risk-averse environment.
You need an automated approach where database operations can become a part of the DevOps pipeline, so that changes can be made and deployed quickly, together with the application, without compromising quality, reliability or performance. Using a real-world scenario with both on-premises and cloud databases, we’ll show you how to implement an end-to-end agile approach to database change management.
From performance monitoring and root-cause diagnostics to Continuous Integration/Continuous Deployment and data replication, we’ll present a typical agile database change management workflow. You’ll see how to deploy changes to production safely and quickly, when end users are growing impatient and money is on the line.