What is Database Delivery Automation and Why Do You Need It?

"Manual database deployment means longer release times. Database specialists have to spend several working days prior to release writing and testing scripts which in itself leads to prolonged deployment cycles and less time for testing. As a result, applications are not released on time and customers are not receiving the latest updates and bug fixes. Manual work inevitably results in errors, which cause problems and bottlenecks."

"Those errors have to be fixed, leading to a longer time to market (TTM). In the end, your team has to invest precious time into fixing errors instead of working on new features that create competitive advantages and take your application to a new level. Lack of automation and synchronization between developers and DBAs leads to conflicts between teams and long feedback loops Without automated feedback loops and unified database change documentation, new database entries might go unnoticed."

"Long feedback loops mean that by the time the DBA team provides their feedback, the developers have already moved on to a new sprint. In other words, lack of database delivery automation means that you are interrupting the development cycle repeatedly and harming the developers' productivity. Related: Database Delivery Automation in the Multi-Cloud World 5 Reasons You Need Database Delivery Automation In this section, we will dive into the specifics and focus on the business and technical benefits of implementing database delivery automation."

Database delivery automation extends CI/CD pipelines to include automated database releases. Manual database deployments lengthen release cycles because DB specialists spend days writing and testing scripts, reducing time for testing. Manual processes also introduce errors and bottlenecks that increase time to market and force teams to fix issues instead of building new features. Lack of automation and synchronization between developers and DBAs creates conflicts and long feedback loops, causing database changes to go unnoticed and slowing responses. Automating database delivery improves release speed, reduces human error, shortens feedback loops, and protects developer productivity.

Read at Dbmaestro