"Integrating databases into the CI/CD process or the DevOps pipeline is overlooked in the current DevOps landscape. Most organizations have adapted automated DevOps pipelines to handle application code, deployments, testing, and infrastructure configurations. However, database development and administration are left out of the DevOps process and handled separately. This can lead to unforeseen bugs, production issues, and delays in the software development life cycle."
"If we consider why databases are left out of the DevOps process, there can be multiple reasons for it, such as complexity, compliance, and lack of understanding about the benefits. As you know, most modern applications do not rely on a single database, and they use multiple databases to provide different features. These databases can be from different vendors using different technologies or even a mixture of RDBMS and NoSQL databases for structured, semi-structured, and unstructured data to provide optimal performance."
"Pro Tip: Begin by integrating version control for your database as a first step towards Database DevOps. Another reason for leaving out databases from the DevOps process is compliance and security concerns. Managing compliance with a database is not an easy task. It requires database teams to create streamlined development processes, compliance tools, and auditing mechanisms to achieve the necessary compliance standards."
Databases are frequently excluded from DevOps pipelines, leaving database development and administration separate from automated application CI/CD. This separation creates unforeseen bugs, production incidents, and delays across the software development lifecycle. Common causes include technological diversity, complexity of migrating legacy databases, compliance and security constraints, and limited familiarity with Database DevOps benefits. Key steps toward Database DevOps include integrating version control for database artifacts, introducing automated CI/CD processes, implementing auditing and compliance tooling, and standardizing deployment workflows to reduce manual intervention. A Database DevOps platform like DBmaestro can automate schema and deployment pipelines, enforce security and compliance policies, and minimize bottlenecks between development and operations.
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