Liquibase
One area hasn’t benefited from the DevOps movement as much: The database change process. It’s time to bring CI/CD to the database. Application release technology has come a long way in the past several years. It used to take weeks or even months to release new software. Now that organizations have adopted new workflows and processes, the time it takes to complete a release has been reduced to days and even hours. Database schema migrations are an essential task for every software project. There are several different reasons why updates to the database are required. New features require new attributes in existing tables or entirely new tables. Bug fixes may lead to changes in names or data types in the database. Performance issues that require additional indexes in the database. Even in organizations that have adopted DevOps, manual rework is the norm when it comes to database schema and stored procedure changes.
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Sqitch
Sensible database-native change management for framework-free development and dependable deployment. What makes Sqitch unique among database migration frameworks. Binary and source code downloads and installation instructions. Command references, tutorials, best practice guides, and more. Get help, get involved. Issues, mail list, and source repository. Sqitch is not tied to any framework, ORM, or platform. Rather, it is a standalone change management system with no opinions about your database engine, application framework, or development environment. Database changes may declare dependencies on other changes — even changes from other Sqitch projects. This ensures proper order of execution, even when you’ve committed changes to your VCS out-of-order. Sqitch manages changes and dependencies via a plan file, and employs a Merkle tree pattern similar to Git and Blockchain to ensure deployment integrity. As such, there is no need to number your changes, although you can if you want.
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dbForge DevOps Automation for SQL Server
dbForge DevOps Automation for SQL Server is a comprehensive solution that combines several dbForge SQL Server tools to enhance database management within Continuous Integration (CI) and Continuous Delivery (CD) processes.
Key Features:
- Integration with popular CI/CD tools (Jenkins, TeamCity, Azure DevOps, and Bamboo) through dedicated plugins
- Automation of NuGet package generation
- Flawless integration with SQL Server Management Studio (SSMS)
- Change management within SSMS (commit, roll back changes, and resolve conflicts)
- Schema comparison and deployment across supported platforms
- Writing unit tests in plain T-SQL
- Comprehensive documentation for all database changes
Overall, the dbForge DevOps Automation solution enables configuring and managing DevOps directly within the SSMS IDE. This integration eliminates the need to switch between various third-party tools, resulting in high-quality outputs and significant cost savings.
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Amazon RDS
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. It frees you to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need. Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. You can use the AWS Database Migration Service to easily migrate or replicate your existing databases to Amazon RDS.
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