Redgate’s new DevOps test data management tool, Redgate Clone, provisions production-like data in seconds for SQL Server, PostgreSQL, MySQL and Oracle databases.
In order to focus on their primary task of developing databases, the development team need to automate as many as possible of the routine tasks that are essential for database delivery, such as testing, scripting, version control, documentation, code review, reporting and so on. This article gives some advice on how to do it, faced with the added challenge of needing to use several different relational databases.
Database DevOps has come of age. Now seen as a key technical practice which can contribute to the successful implementation of DevOps, it stops the database being a bottleneck and makes releases faster and easier.
To implement it successfully, there are ten areas which teams should focus on.
The migration to a different VCS should not be underestimated, as there is a lot more involved than just switching tools, and that’s what Tonie Huizer covers in this article.
First, the team needed to migrate the monolithic repos over to Git, second the team needed to make sure we had a branching strategy and workflow in place.
It involved a big process change for the team as well, but this switch is mandatory to make full use of branch-based database development.
However chaotic or predictable your DevOps processes currently are, the new video learning pathway from the Redgate University will help you prioritize what to improve first, provide step-by-step guidance on how to implement those improvements, and show you ways to measure them. Start learning.
Deploy resources in Azure using reusable code with Terraform modules.