Connect Sentry to PostgreSQL with an AI agent
An agent watches errors and regressions in Sentry, decides what matters, and prepares a write for approval in PostgreSQL. Velaris connects Sentry and PostgreSQL through its capability mesh, so you describe the outcome instead of drawing a trigger-and-action flowchart — and anything outbound or irreversible waits for your approval.
What you can automate
- Velaris can search issues and read stack traces in Sentry, judge what's worth acting on, and prepares a write for approval in PostgreSQL — so the numbers stay current without a manual export.
- When errors in Sentry need something done in PostgreSQL, the agent does it and stops for your approval on anything outbound or irreversible.
- On a schedule or on a trigger, it can run writes or DDL (with approval) in PostgreSQL from what it found in Sentry — every write logged, scoped and reversible.
How it works
- 1
Connect Sentry and PostgreSQL
Authorize both tools with scoped access you control.
- 2
Say what you want
Describe the outcome in a sentence — no trigger/action graph to draw.
- 3
Set the approval tier
Reads run automatically; outbound or irreversible steps wait for your tap.
Common questions
Can Velaris connect Sentry to PostgreSQL without code?
Yes. Connect both tools, then describe the outcome in plain language — the agent selects the right actions from the capability mesh itself. There's no flowchart to build.
How is this different from a Sentry-to-PostgreSQL Zap or automation?
A rule fires the same way every time. An agent reads the Sentry context, decides whether it matters, and adapts what it does in PostgreSQL — pausing for approval on anything outbound or irreversible.
Will it act in PostgreSQL without asking me?
Only for read-only steps. Writes are logged, and anything destructive or outbound needs an explicit human approval — credentials are scoped to the run and expire with it.