Datadog Investigator
Localises a regression across Datadog’s own telemetry, with a Datadog permalink on every finding so the claim and its evidence stay together when the report is read by someone who was not on the run.
Before you deploy — model access, a Datadog connection with read-only access to all five
sources, and an integration group, because the agent
reaches Datadog through a group-scoped gateway endpoint.
An account can hold several Datadog connections. Provider presence alone does not identify the
organization or environment you meant, so select the specific connection this agent should use
rather than assuming the only active one is right.
Grafana Investigator
Correlates metrics against logs, traces and profiles across the Grafana stack, returning findings with Grafana deeplinks so each claim can be checked.
Before you deploy — model access, and one of three paths to Grafana:
The Grafana connection is optional because the second path replaces it: a self-hosted agent pointed
at your own in-cluster server needs no connection. Add one only to use the built-in tooling.
Next steps
Agent catalog
Every deployable agent, and what each one is for.
Cloud providers
The AWS, Azure and Google Cloud investigators.
Integrations list
Connecting Datadog and Grafana.
Integration groups
The group-scoped gateway endpoint the Datadog agent needs.