Dynatrace GitLab Integration

Create GitLab issues from Dynatrace alerts automatically.

Alert ⚠️

Create & Sync Issue

Alert ⚠️

Create & Sync Issue

The Dynatrace GitLab integration connects Dynatrace to GitLab through All Quiet. When Dynatrace sends an alert, All Quiet creates an incident, notifies the on-call engineer and opens a matching GitLab item. Setup takes a few minutes: send Dynatrace alerts to your All Quiet webhook URL, then connect GitLab in All Quiet.

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How the Dynatrace GitLab integration works

1

Send Dynatrace alerts to All Quiet. Create an inbound integration of type Dynatrace in All Quiet and add the webhook URL in Dynatrace.
Dynatrace setup guide
2

Connect GitLab in All Quiet. Create an outbound integration of type GitLab.
GitLab setup guide
3

All Quiet creates an incident, notifies the on-call engineer and opens a matching GitLab item.

What you get

Repeated Dynatrace alerts grouped into one incident
GitLab items created from incidents
No copy and paste between tools
Updates synced in both directions

FAQ

How do I connect Dynatrace to GitLab?

Create an inbound integration for Dynatrace in All Quiet and add its webhook URL in Dynatrace. Then create an outbound integration for GitLab. The Dynatrace setup guide and the GitLab setup guide on docs.allquiet.app walk through each step.

What does All Quiet add between Dynatrace and GitLab?

All Quiet turns each Dynatrace alert into an incident, notifies the engineer on call, escalates if nobody responds and keeps a record of the incident. GitLab receives the incident with that context.

Can I try the Dynatrace GitLab integration for free?

Yes. Start a free trial of All Quiet and connect Dynatrace and GitLab during the trial.

Where is my data hosted?

All Quiet is a European incident management platform: built in Berlin, with selectable EU data residency in Frankfurt, GDPR compliance, and ISO 27001 certification. Alert data for EU customers is stored and processed in Frankfurt. That matters for on-call specifically because alert and escalation data routinely contains production system details.