DRM Intel works with Jira, Azure DevOps, GitHub, GitLab, Jenkins, CI/CD pipelines, APIs, and SDK-based result ingestion to centralize quality governance, automation visibility, and release intelligence.
Keep your source control, DevOps, and issue systems. DRM Intel connects quality signals across them for QA, Engineering, Product, and leadership teams.
Start with your current ecosystem and add DRM Intel as the quality governance command center.
Sync quality context with Jira issues, project structures, users, and sprint workflows where needed.
Connect release and engineering workflows with Azure DevOps pipelines and work tracking.
Use GitHub repositories, actions, commits, and CI results as part of the DRM Intel quality flow.
Connect GitLab CI/CD execution signals into DRM Intel for traceability and release readiness.
Trigger Jenkins jobs from DRM Intel and bring build, pipeline, and test execution results back.
Use DRM Intel APIs and SDK-based result ingestion to connect custom automation frameworks.
DRM Intel connects planning, automation execution, results, and decision-making.
Map Project → Test Plan → Test Suite → Test Cases and automation references.
Start Jenkins, Azure, GitHub, or GitLab execution from DRM Intel workflows.
Collect pass, fail, logs, execution time, build URL, screenshots, and evidence.
Use execution, defect, SLA, and coverage signals to decide release readiness.
Automation should not live only inside CI logs. DRM Intel stores the business context, execution request, pipeline reference, build number, result status, and test-case-level outcomes.
// Example automation execution context { "automationExecutionID": "AE-000104", "project": "Customer Portal", "testRun": "Regression Run - UAT", "provider": "Jenkins", "buildNumber": "#328", "status": "Running", "resultPush": "/DRM/Automation/PushResults" }
DRM Intel APIs and SDK workflows help engineering teams push automation results back into DRM Intel without exposing internal complexity to test authors.
Discuss IntegrationKick off automation execution and persist pipeline/build metadata.
Let CI fetch which test cases or automation methods need execution.
Push pass/fail, duration, logs, screenshots, and case-level results back.
Secure execution context using scoped keys and project-level controls.
Connect tools safely with scoped permissions, auditability, and project-level governance.
Limit integrations by company, project, environment, provider, and role.
Track integration actions, execution events, and user activity.
Use execution access keys and secure runtime context for automation calls.
Designed for company-level isolation, enterprise governance, and scale.
We’ll map your Jira, Azure DevOps, Jenkins, GitHub, GitLab, and automation framework setup into a DRM Intel integration flow.