Grafana + Datadog
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.
Why integrate Grafana and Datadog?
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.
Automate & integrate Grafana & Datadog
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.
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.
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.
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.
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.
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.
Use case
Shared Downtime and Maintenance Window Management
When a maintenance window is scheduled in Datadog to suppress alerts during planned downtime, tray.ai automatically creates a matching silenced alert period or annotation in Grafana, preventing false-positive noise in both platforms at once. When the window closes, both systems resume normal alerting together.
Get started with Grafana & Datadog integration today
Grafana & Datadog Challenges
What challenges are there when working with Grafana & Datadog and how will using Tray.ai help?
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 Can Help:
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 Can Help:
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 Can Help:
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.
Challenge
Rate Limiting and API Quota Management
Both Datadog and Grafana enforce API rate limits that can become a real constraint when workflows need to sync large volumes of annotations, events, or metric data in near-real-time. Unmanaged integrations can exhaust API quotas, causing failed syncs and data gaps in dashboards.
How Tray.ai Can Help:
tray.ai automatically retries failed Grafana and Datadog API calls with exponential backoff, and supports configurable throttling at the workflow level to stay within rate limits. Transient quota errors don't cause silent data loss — operations queue for retry instead.
Challenge
Multi-Instance and Multi-Organization Complexity
Large engineering organizations often run multiple Grafana instances — one per team or environment — alongside one or more Datadog accounts. Routing data to the right Grafana instance or Datadog account based on service ownership, environment, or team requires conditional logic that's painful to maintain in custom scripts.
How Tray.ai Can Help:
tray.ai workflows support dynamic connector configuration, so a single workflow can route data to different Grafana instances or Datadog accounts based on metadata in the triggering event — service tags, environment labels, team identifiers. No separate scripts, no duplicate workflows for each environment.
Start using our pre-built Grafana & Datadog templates today
Start from scratch or use one of our pre-built Grafana & Datadog templates to quickly solve your most common use cases.
Grafana & Datadog Templates
Find pre-built Grafana & Datadog solutions for common use cases
Template
Datadog Alert to Grafana Annotation
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.
Steps:
- Trigger: Datadog monitor webhook fires when a monitor changes state (alert, warn, resolved)
- Transform: Map the Datadog monitor name, severity, and timestamp to Grafana annotation fields
- Action: POST annotation to the specified Grafana dashboard via the Grafana HTTP API
Connectors Used: Datadog, Grafana
Template
Grafana Alert to Datadog Event
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.
Steps:
- Trigger: Grafana webhook fires on alert state change (alerting, ok, no data)
- Transform: Map Grafana alert labels, panel URL, and severity to Datadog event payload format
- Action: POST event to Datadog Events API with appropriate tags and alert source metadata
Connectors Used: Grafana, Datadog
Template
Datadog SLO Sync to Grafana Dashboard
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.
Steps:
- Trigger: tray.ai scheduler runs on a configurable interval (hourly, daily)
- Fetch: Query Datadog SLOs API to retrieve current SLO status, error budget, and burn rate
- Update: Write SLO data to the configured external data source or push annotations to Grafana dashboard
Connectors Used: Datadog, Grafana
Template
New Datadog Monitor to Grafana Dashboard Provisioning
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.
Steps:
- Trigger: Datadog audit event or webhook detects a new monitor creation
- Check: Query Grafana API to determine whether a dashboard tagged with the service name already exists
- Provision: If no matching dashboard exists, create one in Grafana from a stored JSON dashboard template with appropriate variables
Connectors Used: Datadog, Grafana
Template
Shared Maintenance Window Synchronization
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.
Steps:
- Trigger: Datadog downtime created or updated event received via webhook
- Transform: Map Datadog downtime scope, start time, end time, and message to Grafana silence or annotation fields
- Action: Create or update a Grafana annotation or alert silence via the Grafana API for the matching time window
Connectors Used: Datadog, Grafana
Template
Enriched Incident Notification from Grafana Alert with Datadog Context
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.
Steps:
- Trigger: Grafana alert webhook fires with alert details and time range
- Enrich: Query Datadog APM traces, infrastructure metrics, and log events for the affected service within the alert time window
- Notify: Compose and send an enriched incident message to Slack or PagerDuty including Grafana panel link, Datadog trace URLs, and infrastructure health summary
Connectors Used: Grafana, Datadog