2 years ago

Category: Business, Database, Data, Kubernetes, Docker, encryption, automation

The diverse number of database platforms, deployment environments and data variants needed to support the plethora of applications and services required for rapid DevOps continuous delivery lead times, coupled with the challenges of integrating database changes for application pipelines, is a growing challenge for many organizations as they strive to accelerate their DevOps transformations. When you stand back and look at the bigger picture, an enterprise with many databases and various data requirements for DevOps continuous delivery presents a problem.

What is needed is a new kind of DevOps database platform that allows the database, and database changes, to be as agile as any other artifact in the DevOps pipeline.

Automated database provisioning• Distributed repositories support• Simple declarative builds• Dynamically scalable• Virtual hard drive images for a wide variety of DBs – Linux, SQL, Oracle and others• Distributed versioned database environments working on standard file systems and storage systems delivery writeable data at the speed of DevOps – in other words, in seconds.• Deploys equally to all operating systems and cloud environments, Docker containers and Kubernetes.• Many clones per virtual machine (VM)• Security features including access management, data masking and encryption• Compatible with and easily integrates with CI/CD platforms• Compatible with multi-cloud (AWS, Azure, GCS)• Built-in data security and governance into DevOps data.

A new kind of DevOps database platform, in which the database is treated as any other artifact, is needed to resolve technical problems with database integration to DevOps application pipelines.