How to integrate SQL Server into your CI/CD pipeline

[MUSIC PLAYING] You know that Database DevOps is becoming more critical to your organization's success. But like many DBA's, you struggled to bring your database operations into your CI/CD infrastructure. What if you could accelerate your DevOps pipeline end to end and combine higher quality database changes with application changes? What if you could monitor the impact of database changes throughout your DevOps pipeline? What if you could test your database changes for production scalability? And what if you could replay deployed transactions to another database? In a typical IT infrastructure, there are many stages between development and operations. And effective build automation process ensures that all changes, application and database, are properly tested before making their way through the pipeline and deployed into the live production environment. If your ops team identifies a performance issue, you have to find the fastest way possible to implement a database schema change and deploy those changes quickly into production using automated processes while ensuring zero code defects, high code quality, and scalable performance. DDL and DML changes that get deployed into production may need to be replayed to other databases, such as an offload reporting database so it is kept in sync. In addition, any changes that are made to the production databases must be monitored to ensure they continue to perform optimally. With the right database solutions, you can build, test, and release database changes with greater speed and reliability, integrate performance monitoring and performance testing into your DevOps process for an end-to-end solution. And finally, keep other databases, such as for offload reporting in sync with production by replaying all incoming transactions. Accelerate the deployment of your applications by integrating database changes into your DevOps process to boost your business agility. Learn more about all of Quest DevOps solutions at Quest.com/DevOps.