PR checks
Create isolated database environments for pull request validation.
CI/CD for Postgres
Test schema changes, application behavior, and data-dependent code in isolated database branches.
Vela helps teams stop treating the database as a separate manual step in software delivery. Create a branch or clone for a pipeline, run the validation, and clean it up when the job finishes.
Designed for teams that need database validation to move with code validation.
PR checks
Create isolated database environments for pull request validation.
Migrations
Run schema changes before production rollout.
API-first
Drive database lifecycle from pipeline automation.
Cleanup
Remove temporary environments after tests complete.
Why It Matters
Application delivery has become automated, but database validation often remains manual. Teams merge code after unit tests pass, then discover the real issue in a shared staging database or during a production migration window.
That gap is especially painful for Postgres-backed applications where schema, data shape, permissions, indexes, and query plans all affect whether a release is safe. Mocked data and tiny fixtures rarely catch those issues.
Vela brings database environments into the pipeline. A CI job can create a Postgres branch, run migrations and tests, collect results, and delete the branch without requiring a permanent shared test database for every change.
Where It Fits
Use branches and clones when tests need realistic Postgres behavior.
Create a database branch for each PR and test application behavior with the proposed schema and data changes.
Run migration scripts against an isolated branch before they are approved for production.
Use production-like data shape for tests that cannot be trusted against mocks or small fixtures.
Operating Model
Add database lifecycle to the same pipeline that validates application code.
Trigger the CI workflow when code, schema, or data logic changes.
Use the Vela API to provision an isolated Postgres environment for the job.
Apply schema changes, run integration tests, and check data-dependent behavior.
Return the validation result to the PR and delete the temporary database environment.
Capabilities
Use Postgres environments as disposable pipeline resources.
Create a branch tied to an individual code change.
Apply and validate schema changes before they touch production.
Automate branch creation and cleanup from CI systems.
Keep test environments inside platform rules instead of ad hoc database credentials.
For Platform Leaders
If every team invents its own database test setup, CI/CD becomes inconsistent. Vela lets platform teams define one database environment workflow that application teams can use in their pipelines.
Talk to the Vela teamDecision Guide
The more realistic the data dependency, the more useful branch-based validation becomes.
| Dimension | Mocks and fixtures | Shared staging | Vela CI/CD branch |
|---|---|---|---|
| Data realism | Low to medium | Often stale | Production-like source state |
| PR isolation | High but synthetic | Low | High |
| Migration validation | Weak | Risky if shared | Isolated per workflow |
| Automation | Easy | Hard to coordinate | API-driven |
| Cleanup | No database cleanup | Manual reset | Pipeline lifecycle |
Related Paths
FAQ
Many application failures depend on schema, data shape, indexes, permissions, or migration behavior. Testing only code can miss those database-level problems.
A pipeline can create a Vela database branch, run migrations and tests, collect results, and clean up the branch after the job.
No. Mocks are still useful for fast unit tests. Vela is for integration, migration, and data-dependent validation where real Postgres behavior matters.
Not always. Use branch-per-PR for changes that touch schema, data logic, migrations, permissions, or integration behavior.
Platform engineering should define the guardrails and API workflow, while application teams use it in their pipelines.
Use Vela branches and clones to test database changes before they become production issues.