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Available Integrations
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LIVEGitHub
Connect GitHub repositories to track deployments, pull requests, and workflow runs automatically.
- Automatic deployment tracking via GitHub Actions
- Pull request metrics and cycle time analysis
- Commit-to-deploy lead time measurement
- Workflow run history and success rates
- Repository selection and filtering
LIVEGitLab
Integrate GitLab projects to monitor CI/CD pipelines, merge requests, and deployment frequency.
- Pipeline execution tracking and metrics
- Merge request analytics and throughput
- Deployment environment monitoring
- Build success rate analysis
- Multi-project support
LIVEAzure DevOps
Connect Azure DevOps organizations to track builds, releases, and work items across your projects.
- Build pipeline monitoring and analysis
- Release deployment tracking
- Work item cycle time measurement
- Multi-project and organization support
- Test run integration
LIVEBitbucket
Integrate Bitbucket repositories and pipelines to measure deployment frequency and PR velocity.
- Pipeline execution tracking
- Pull request velocity metrics
- Branch deployment monitoring
- Build success rate analysis
- Workspace and repository management
LIVEJira
Connect Jira to track work items, measure flow efficiency, and gain insights into your development process.
- Work item flow and cycle time tracking
- Sprint velocity and health metrics
- Estimation accuracy analysis
- Status transition tracking
- Process Intelligence AI insights
LIVELinear
Connect Linear to track issues, cycles, and workflow states — the same flow analytics and process insights as Jira, for teams that moved on.
- Issue flow and cycle time tracking
- Linear cycles as sprint analytics
- Estimate accuracy analysis
- Workflow state transition tracking
- Process Intelligence AI insights
LIVEPagerDuty
Track incidents and calculate Mean Time to Recovery (MTTR) automatically with PagerDuty integration.
- Automatic incident tracking
- MTTR calculation and trending
- On-call rotation insights
- Incident severity analysis
- Integration with deployment data
LIVESentry
Turn error tracking into incident signal — Sentry issues become incidents, powering change failure rate and MTTR without a dedicated incident tool.
- Error and fatal issues synced as incidents
- Change failure rate without an incident tool
- MTTR from first-seen to resolution
- Critical/high severity mapping
- Feeds incident → postmortem → action plans
LIVEincident.io
Sync declared incidents with severities and timestamps from incident.io for change failure rate, MTTR, and the full postmortem flow.
- Declared incidents with real severities
- MTTR from reported to resolved timestamps
- Triage and post-incident states tracked
- Declined/merged incidents excluded from CFR
- Feeds incident → postmortem → action plans
LIVEDatadog
Pull deployment events and monitoring signal from Datadog to correlate releases with operational health — and optionally turn post-deploy error-rate spikes into candidate change-failure incidents.
- Deployment event tracking
- Monitor-driven incident signal
- Error-rate spikes after a deploy → candidate change failures
- Release-to-incident correlation
- Works alongside PagerDuty and Sentry
LIVEPingdom
Uptime checks become objective outage incidents — a down event opens an incident, the recovery resolves it — sharpening change failure rate and MTTR without anyone filing a ticket.
- Outages as incidents (down → up)
- Objective MTTR from real recovery time
- Outage-to-deploy correlation for CFR
- No API key — paste a webhook URL
- Feeds incident → postmortem → action plans
LIVEBetter Stack
Better Stack uptime incidents flow straight in — outages become incidents with precise start/resolve times, giving a clean MTTR signal and a deploy-correlated change failure rate.
- Uptime incidents synced down/up
- Precise MTTR from start to resolve
- Outage-to-deploy correlation for CFR
- No API key — paste a webhook URL
- Feeds incident → postmortem → action plans
LIVEUptimeRobot
UptimeRobot down/up alerts become incidents automatically — an objective reliability signal that powers change failure rate and MTTR alongside your incident tools.
- Down/up alerts as incidents
- Objective MTTR from recovery time
- Outage-to-deploy correlation for CFR
- No API key — paste a webhook URL
- Feeds incident → postmortem → action plans
LIVEVercel
For teams whose deploy is the Vercel deploy — production deployments feed deployment frequency and change failure rate directly.
- Production deployments synced automatically
- Deployment frequency for frontend teams
- Failed deploys feed change failure rate
- Commit and branch metadata attached
- Personal and team scopes supported
LIVECircleCI
Track CircleCI pipelines and workflows — build wait time, build volume, and success rate across your organization.
- Pipeline and workflow tracking
- Build success rate monitoring
- Build wait time analysis
- Per-workflow duration trends
- Org-wide pipeline visibility
LIVEBuildkite
Track Buildkite builds across all pipelines — build wait time, volume, and success rate at organization level.
- Org-wide build tracking
- Build success rate monitoring
- Queue-to-start wait time analysis
- Per-pipeline duration trends
- Read-only token, least privilege
LIVESonarQube / SonarCloud
Reads the code-quality measures your CI already computes — maintainability trends and the AI-quality counterweight, with no new scanning.
- Daily maintainability and tech-debt trends per project
- Duplication and coverage tracked over time
- Works with SonarCloud and self-hosted SonarQube
- No new scanners — reads existing scan results
- AI-quality view: is AI-assisted code degrading faster?
LIVEAnthropic (Claude)
Pull your organization's real Claude usage and cost so AI Impact can show spend against measured delivery lift — no manual entry.
- Daily org usage and cost sync
- Token usage by day
- Real AI spend in ROI calculations
- Read-only admin key, least privilege
- Powers the AI Impact dashboard
LIVEGitHub Copilot
Track Copilot seats, active users, and acceptance rates to measure whether your Copilot investment is moving delivery metrics.
- Seat and active-user tracking
- Suggestion and acceptance metrics
- Adoption trends over time
- Spend vs measured delivery impact
- Powers the AI Impact dashboard
LIVECursor
Sync team usage and spend from Cursor to put your AI editor investment next to measured delivery outcomes.
- Team usage and request volume
- Seat and spend tracking
- Adoption trends over time
- Spend vs measured delivery impact
- Powers the AI Impact dashboard
LIVEOpenAI
Pull your organization's OpenAI API usage and cost so AI spend shows up next to measured delivery lift in AI Impact.
- Daily org usage and cost sync
- Token and request volume by day
- Real AI spend in ROI calculations
- Read-only admin key, least privilege
- Powers the AI Impact dashboard
LIVECustom Webhooks
Build your own integration with our flexible webhook API endpoints for deployment and incident tracking.
- POST deployment events via REST API
- Track deployments from any CI/CD tool
- Custom event data and metadata
- Incident webhook support
- API authentication with bearer tokens
BETAJenkins
Connect Jenkins to track CI/CD pipeline metrics and deployment frequency across all your jobs.
- Job execution tracking
- Build success rate monitoring
- Deployment pipeline analysis
- Multi-branch pipeline support
- Custom webhook integration
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