Modern CD pipelines are built for speed and control, but they stop at the application layer.

Meanwhile, database changes follow a completely different path. Manual scripts, one-off fixes, changes that never make it back into version control. Over time, what’s running in production drifts from what your pipeline thinks is true, and that gap is where outages happen.

In this session, we’ll show how to extend your pipeline to include the database. Every change goes through the same workflow: pull request, automated checks, approval gates, and full traceability.  

What you'll see

• How database changes can flow through the same CI/CD pipeline as application code
• AI-assisted generation of a safe, reviewable database change that is backwards compatible
• Guardrails that catch risky or non-compliant changes before they reach production
• Automatic rollback of application and database changes triggered by continuous verification

Who this is for
Platform engineers, SREs, and DevOps leaders who want their database changes to be as controlled and reliable as their application delivery

DBAs who are tired of ticket handoffs and want to put guardrails in place so developers and DevOps can move fast without constant manual oversight