Connectors / Integration
Stop Context-Switching: Connect Grafana and Datadog on tray.ai
Automate metric flows, alert routing, and dashboard sync between Grafana and Datadog — no glue code required.
Grafana + Datadog integration
Grafana and Datadog are two of the most widely adopted observability platforms in modern engineering organizations. Grafana is built for flexible, open-source visualization across diverse data sources; Datadog handles infrastructure monitoring, APM, and log management in a single SaaS platform. Teams that rely on both tools often end up with duplicated alerting rules, siloed dashboards, and manual reconciliation of incident data across systems. Integrating Grafana and Datadog through tray.ai keeps both platforms in sync and eliminates the toil of managing them independently.
Engineering and SRE teams frequently run Grafana alongside Datadog because each platform does something different. Grafana has highly customizable dashboards that pull from Prometheus, InfluxDB, Loki, and dozens of other sources. Datadog is where you go for infrastructure health, distributed tracing, and anomaly detection. Without an integration layer, on-call engineers have to manually cross-reference alerts firing in Datadog with correlated visualizations in Grafana — and that slows down mean time to resolution (MTTR). Connecting the two platforms via tray.ai lets teams automatically propagate alerts, sync annotation events, route incidents to the right dashboards, and maintain consistent monitoring coverage across both tools.
Automate & integrate Grafana + Datadog
Automating Grafana and Datadog business processes or integrating data is made easy with Tray.ai.
Use case
Bidirectional Alert Synchronization
When a Datadog monitor triggers an alert, tray.ai automatically creates a corresponding Grafana annotation on the relevant dashboard panels, giving engineers immediate visual context around the incident timeline. Resolved alerts in Datadog are reflected in Grafana in real time, so both platforms stay aligned without manual updates.
- No more manually cross-referencing Datadog alerts with Grafana dashboards during an incident
- Cut mean time to resolution by surfacing correlated visualizations alongside active alerts
- Maintain a consistent annotation history across both platforms for post-incident reviews
Use case
Automated Incident Annotation from Datadog Deployments
Every time Datadog detects a deployment event or a CI/CD pipeline completes, tray.ai pushes an annotation into the relevant Grafana dashboards, marking exactly when code changes shipped. SRE teams can immediately see whether metric degradations line up with recent releases.
- Automatically correlate deployment events with performance regressions in Grafana
- Cut investigative time by contextualizing metric spikes against deployment timelines
- Build an audit trail of deployments that persists in Grafana dashboards for future reference
Use case
Datadog Metric Export to Grafana Data Sources
tray.ai can periodically pull metric data from the Datadog Metrics API and push it into external data stores — such as InfluxDB or PostgreSQL — that Grafana is already querying, making Datadog metrics available in unified Grafana dashboards alongside data from other sources. This is especially useful for teams that want a single consolidated view across their entire infrastructure.
- Consolidate Datadog and non-Datadog metrics into a single Grafana dashboard without duplicating instrumentation
- Preserve Datadog metric history in a data store you own and control
- Correlate Datadog infrastructure metrics with application metrics from other tools in one place
Use case
On-Call Escalation Enrichment
When a Grafana alert fires, tray.ai queries Datadog for related APM traces, log events, and infrastructure health signals, then packages that context into a notification delivered to PagerDuty, Slack, or your incident management tool of choice. Engineers arrive at an incident already knowing what happened, rather than scrambling to gather it from multiple platforms.
- Pre-populate incident notifications with Datadog context so first-response investigation starts faster
- Improve alert fidelity by combining Grafana threshold alerts with Datadog anomaly detection signals
- Reduce alert fatigue by correlating signals from both platforms before escalating to on-call teams
Use case
SLA and Uptime Reporting Automation
tray.ai pulls SLO and uptime data from Datadog and automatically generates or updates reporting dashboards in Grafana, giving leadership and engineering teams consistent, always-current reliability metrics. Scheduled workflows refresh reports daily, weekly, or monthly without anyone touching them manually.
- Deliver accurate SLA reports to stakeholders without manually exporting data from Datadog
- Keep Grafana executive dashboards current with live Datadog SLO status
- Take the reporting burden off SRE teams by automating the data pipeline between both tools
Use case
Cross-Platform Dashboard Provisioning
When new services are onboarded and dashboards are created in Datadog, tray.ai triggers automatic provisioning of corresponding Grafana dashboards using predefined templates, so monitoring parity across both platforms is there from day one. No more situations where a new service shows up in Datadog but is missing from Grafana entirely.
- Every new service gets dashboard coverage in both Grafana and Datadog from the moment it's deployed
- Enforce organizational dashboard standards by driving Grafana provisioning from Datadog service catalog events
- Reduce manual configuration work for platform engineering teams during service onboarding
Challenges Tray.ai solves
Common obstacles when integrating Grafana and Datadog — and how Tray.ai handles them.
Challenge
Keeping Alert States Consistent Across Both Platforms
Datadog and Grafana each maintain their own alerting state machines, and when an alert resolves in one platform it doesn't automatically update the other. The result is stale alert banners, mismatched annotation histories, and on-call engineers receiving conflicting signals from two systems that should be telling the same story.
How Tray.ai helps
tray.ai listens to webhook events from both Grafana and Datadog and propagates state changes bidirectionally in real time. Configurable conditional logic ensures that only meaningful state transitions trigger cross-platform updates, preventing feedback loops while keeping both systems accurate.
Challenge
API Authentication and Token Management
Grafana uses API keys or service account tokens scoped to specific organizations, while Datadog relies on application keys paired with API keys. Managing these credentials securely across automated workflows — especially in multi-environment setups with separate staging and production instances — is a real operational headache.
How Tray.ai helps
tray.ai stores authentication tokens for both Grafana and Datadog in an encrypted credential store, with support for environment-specific configurations. Credentials are never exposed in workflow logs, making multi-environment integrations straightforward to manage safely.
Challenge
Data Format Mismatch Between Grafana and Datadog APIs
Grafana's annotation and alerting APIs use a different schema than Datadog's Events and Monitors APIs. Field names, timestamp formats, severity enumerations, and tag structures all differ between the two platforms. Writing transformation logic by hand to bridge these differences is error-prone and breaks quietly.
How Tray.ai helps
tray.ai's built-in data mapping tools let teams visually define how fields from Datadog payloads map to Grafana API schemas — and vice versa — without writing custom code. JSONPath expressions, conditional branching, and format conversion helpers handle translating between the two platforms' data models.
Templates
Pre-built workflows for Grafana and Datadog you can deploy in minutes.
Datadog Alert to Grafana Annotation
Datadog 
Grafana Automatically creates a Grafana annotation on a specified dashboard whenever a Datadog monitor transitions to an alert or resolved state, providing instant visual context on time-series panels.
Grafana Alert to Datadog Event
Grafana Datadog When a Grafana alert rule fires or resolves, this template pushes a corresponding event into the Datadog Events stream, giving you full cross-platform visibility in the Datadog event timeline and triggering any Datadog workflows downstream.
Datadog SLO Sync to Grafana Dashboard
Datadog Grafana On a scheduled cadence, this template retrieves current SLO status and budget burn data from Datadog and updates a designated Grafana dashboard's data source or annotations to reflect up-to-date reliability metrics for stakeholder reporting.
New Datadog Monitor to Grafana Dashboard Provisioning
Datadog Grafana When a new Datadog monitor is created for a service, this template checks whether a corresponding Grafana dashboard exists and, if not, provisions one from a predefined template — so monitoring parity across both platforms is automatic.
Shared Maintenance Window Synchronization
Datadog Grafana Automatically mirrors a Datadog downtime schedule into a Grafana alert silence or annotation, so both platforms suppress noise and record planned maintenance events in parallel without requiring manual configuration in each tool.
Enriched Incident Notification from Grafana Alert with Datadog Context
Grafana Datadog When a Grafana alert fires, this template queries Datadog for correlated APM traces and infrastructure events within the same time window, then delivers an enriched incident summary to Slack or PagerDuty so on-call engineers have full context immediately.
How Tray.ai makes this work
Grafana + Datadog runs on the full Tray.ai platform
Intelligent iPaaS
Integrate and automate across 700+ connectors with visual workflows, error handling, and observability.
Learn more →Agent Builder
Build AI agents that read, write, and take action in Grafana and Datadog — with guardrails, audit, and human-in-the-loop.
Learn more →Agent Gateway for MCP
Expose Grafana + Datadog actions as governed MCP tools — observable, rate-limited, authenticated.
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