01
Map the workflow
Define triggers, records, owners, exceptions, and the consequence of a mistake.
Custom integration scope
Designed around your workflow and permissions
Connect Datadog to the workflows around it
Turn monitor and telemetry signals into contextual incident workflows.
Typical objects
The records a scoped build may use
- Monitors and events
- Metrics and logs
- Incidents
- Dashboards and service metadata
Workflow examples
Practical patterns to evaluate
These are design examples, not claimed customer deployments or results.
- 01
Open a coordinated incident path from a verified monitor event.
- 02
Assemble related service, log, and ownership context for responders.
- 03
Draft stakeholder updates and record the resolution timeline.
Delivery sequence
Integration work starts with the operating process
02
Confirm access
Check the platform edition, APIs, authentication, scopes, limits, and data policy.
03
Build and test
Implement narrow actions and verify normal, failure, retry, and approval paths.
04
Operate deliberately
Document ownership, logs, escalation, stop controls, and the change process.
Platform consideration
Signal volume, API and application keys, site region, monitor design, log sensitivity, and remediation authority need control.
Scope before promise
Platform editions, API access, permissions, rate limits, vendor policies, security requirements, and data residency can change what is feasible. CombineApps confirms scope before implementation.
Related integrations
Connect the surrounding stack
Bring one real workflow
Define what Datadog should read, change, and leave for a person
We can map the systems, authority, exception paths, and test cases before deciding how the integration should be built.