Store and track changes to a database by maintaining different versions of SQL scripts in a version control system. This will help track the differences between the deployed databases.
Database Change Management:
Create automated procedures for making sure that changes in the production environment are well-controlled, tested and managed.
Source Code Management:
Use source code management tools such as Git or Subversion to effectively manage and control the source code of the database.
Continuous Integration:
Use a continuous integration system to trigger the execution of automated tests when changes occur in the source code.
Automated Deployment:
Develop an automated deployment tool to deploy changes captured in the version control system in an efficient and reliable manner.
Monitoring:
Set up monitoring systems to keep track of performance metrics and be aware of any potential issues arising from the deployment process.
Testing:
Implement automated tests to guarantee that the code is always functioning as intended in order to prevent costly mistakes from reaching production.
Documentation:
Document all the changes made to the database along with the corresponding version control tags. This will provide a clear audit trail for future reference.