DevOps database overall process groupset
Database Integrate Ops is a solution on the database side of the DevOps process that makes work of the database side automation, visualization, collaboration, and safety, and keeps the database side of the update iteration in sync with R&D (research and development).
Solve the 'manual problem' of database and make everything 'automatic'.
Cloud + Local Client
Integrated cloud-native Ops platform based on K8S, with highly scalable and Ops- friendly components and the ability to link numerous third-party tools to the platform through the client.
Integrate Modeling>>Review>>Version>>Environment into web-side integrated presentation, which facilitates seamless collaboration between R&D, architects, development DBAs, and production DBAs.
Support the loading of enterprise metadata specifications during the modeling process to maintain the consistency of the internal application data model of the enterprise.
One-click Environment Generation
Empowered by DTS to automatically build multi-version database environments based on rules, covering multiple application environments for development, testing, production, etc.
Extensive Database Support
Support common data sources such as Oracle, SQLServer, MySQL, etc. Support OpenGauss, OceanBase, DM8, and other domestic data sources.
Compatible with Version Tools
Compatible with high occupancy database version management systems to produceliquibase and flyway compliant ChangeSets during the modeling process.
Create database CI/CD tools that dramatically reduce the workload of database operators.
Advocating DevOps, DiOps can accelerate database integration and improve overall development efficiency.
While DevOps improves efficiency, pay attention to data specification and data governance.
A platform can significantly accelerate the development and construction of an enterprise's own applications and ensure the validity and standardization of data design through collaboration.
Allow application developers to model by data specifications in one platform, effectively unify the caliber of application data, and improve data quality through the implantation of data metadata and governance specifications.