Operations | Monitoring | ITSM | DevOps | Cloud

With increasing security threats and stringent compliance requirements, database code quality isn’t just a best practice; it’s a business imperative. Yet many organizations struggle to enforce their database development standards consistently across teams, leading to security vulnerabilities, potential data loss, and lengthy review cycles that slow down software delivery.

Harness Database DevOps now supports CockroachDB, bringing CI/CD automation to distributed SQL databases. Teams can manage schema changes through Git-driven workflows for consistency, traceability, and rollback safety. This integration simplifies multi-environment deployments, reduces human error, and accelerates database delivery.

There’s growing unease in the database world regarding delivering at speed, raising the question – just how do we keep up with the pace of change without losing control of the things that matter most? AI is rapidly transforming the mechanics of how code is written, reviewed, and optimized which in-turn, increases the risk of destabilization.

In 2025, the database ecosystem is more diverse and interconnected than ever before. From AI-assisted natural language queries that analyze your data to open table formats that make it easy to bridge systems, data infrastructure is moving towards openness, intelligence, and composability. Modern databases are no longer isolated systems; they are part of a broader ecosystem where interoperability is as important as performance.

Generated columns have existed in PostgreSQL since version 12. The idea was to allow people to make calculations based on other columns in the table and store them. It makes your life easier by ensuring data accuracy and preventing unauthorized manual modifications. But why, after 6 versions, is PostgreSQL making generated columns virtual and also making this new way the default? This is an example of the types of questions we had when exploring and playing around with this new feature.