Datadog + OpsGenie
Connect Datadog and OpsGenie to Automate Incident Response and Alert Management
Stop manually routing alerts. Connect Datadog monitoring directly to OpsGenie on-call management and let your incidents resolve faster.
Why integrate Datadog and OpsGenie?
Datadog and OpsGenie do different jobs well. Datadog surfaces infrastructure and application issues in real time; OpsGenie makes sure the right engineers get notified and stay accountable for fixing them. Together, they form a closed-loop incident pipeline that takes your team from detection to resolution faster than any manual handoff allows — but only if they're actually talking to each other. Integrating them on tray.ai means your monitoring signals automatically trigger structured, prioritized alerts that reach the right on-call responders without anyone copy-pasting context between tabs.
Automate & integrate Datadog & OpsGenie
Use case
Automatic Alert Creation from Datadog Monitor Triggers
When a Datadog monitor transitions to an alert or warning state, tray.ai creates a corresponding OpsGenie alert with relevant tags, priority level, and monitor details already filled in. On-call engineers get immediate, context-rich notifications without any manual intervention — zero lag between detection and notification, no matter the hour.
Use case
Alert Priority Mapping Based on Monitor Severity
A P1 host-down event and a P4 log anomaly aren't the same problem. tray.ai workflows map Datadog monitor severity levels, tags, and affected services to OpsGenie priority tiers and routing rules, so critical incidents escalate immediately while lower-priority warnings get queued appropriately.
Use case
Bidirectional Incident State Synchronization
When an OpsGenie alert is acknowledged or resolved, tray.ai propagates that status change back into Datadog as annotations or downtimes, keeping both systems in sync throughout the incident. When Datadog detects that a monitor has recovered, the linked OpsGenie alert closes automatically. No stale alerts, no duplicate notifications confusing the on-call team.
Use case
On-Call Schedule Awareness for Maintenance Window Suppression
tray.ai can query OpsGenie's on-call schedules and use that data to suppress or redirect Datadog alerts during planned maintenance windows or holiday coverage periods. Non-critical pages stop firing into the void, while a backup responder still gets looped in for anything genuinely urgent.
Use case
Enriched Incident Context for Faster Triage
When tray.ai creates an OpsGenie alert from a Datadog monitor, it can simultaneously pull in related dashboard links, recent deployment events, and metric snapshots and attach them directly to the alert. Responders start triage with the information they actually need, not a bare notification that sends them digging through four other tools.
Use case
Post-Incident Reporting and SLA Tracking
After an incident closes in OpsGenie, tray.ai aggregates resolution data — acknowledgment times, responder actions, alert duration — and cross-references it with Datadog metric data from the incident window. That combined dataset gets pushed into a reporting tool, spreadsheet, or data warehouse so teams can track SLA compliance and MTTR trends without manually stitching two systems together.
Use case
Multi-Service Composite Alert Grouping
Complex outages often trigger dozens of Datadog monitors at once, flooding OpsGenie with redundant alerts for a single root cause. tray.ai detects correlated monitor triggers within a time window and groups them into one consolidated OpsGenie alert that shows the full scope of the incident. Responders get one actionable alert instead of a storm, with all related monitors listed.
Get started with Datadog & OpsGenie integration today
Datadog & OpsGenie Challenges
What challenges are there when working with Datadog & OpsGenie and how will using Tray.ai help?
Challenge
Maintaining Consistent Alert Context Across Both Platforms
Datadog monitors contain rich metadata — tags, metric values, affected hosts, dashboard links — that often gets lost or truncated when alerts are manually forwarded to OpsGenie. Responders end up with bare-bones notifications and have to context-switch back into Datadog just to understand what's happening.
How Tray.ai Can Help:
tray.ai's data mapping lets teams extract the full Datadog monitor payload and enrich OpsGenie alerts with exactly the fields responders need — dynamic dashboard links, current metric values, service ownership tags — all formatted to OpsGenie's alert schema automatically.
Challenge
Avoiding Duplicate Alerts and Notification Storms
When a single infrastructure failure triggers many Datadog monitors at once, each monitor can independently fire to OpsGenie, flooding on-call engineers with dozens of pages for one root cause. That alert fatigue degrades response quality and makes it easy to miss genuinely novel issues buried in the noise.
How Tray.ai Can Help:
tray.ai workflows can implement deduplication and grouping logic — using time-window correlation, shared tags, or host matching — to consolidate related Datadog alerts into a single OpsGenie incident before any notification goes out, protecting on-call teams while maintaining full visibility.
Challenge
Keeping Alert Status In Sync When Either System Updates
When an OpsGenie alert is acknowledged or resolved, Datadog has no native awareness of that change. A monitor can still appear active in Datadog even though the incident is under control, which causes dashboard confusion and can trigger repeat notifications.
How Tray.ai Can Help:
tray.ai listens for state change events in both systems and propagates updates in both directions — closing OpsGenie alerts when Datadog monitors recover, and annotating Datadog timelines when OpsGenie responders acknowledge or resolve incidents.
Challenge
Managing Alert Routing as Team Structures Evolve
OpsGenie routing rules and team schedules change constantly as organizations grow and service ownership shifts. Keeping Datadog monitor tags aligned with current OpsGenie team assignments is a continuous manual burden that reliably produces misrouted alerts.
How Tray.ai Can Help:
tray.ai workflows dynamically query OpsGenie team and schedule data at alert creation time, applying current routing logic without requiring manual updates to Datadog monitor configurations every time the org chart changes. Routing rules live in the workflow layer, not hardcoded in either system.
Challenge
Extracting Incident Data for Reliability Reporting and Post-Mortems
SRE and platform engineering teams need accurate MTTA, MTTR, and incident frequency data to track reliability improvements and fulfill SLA commitments. Compiling that manually from Datadog and OpsGenie separately is slow and error-prone, and post-mortems end up delayed or incomplete as a result.
How Tray.ai Can Help:
tray.ai automates the extraction and correlation of incident lifecycle data from both systems after each event closes, assembling structured reports that combine alert timing from OpsGenie with metric and event context from Datadog — consistent, audit-ready summaries without manual data wrangling.
Start using our pre-built Datadog & OpsGenie templates today
Start from scratch or use one of our pre-built Datadog & OpsGenie templates to quickly solve your most common use cases.
Datadog & OpsGenie Templates
Find pre-built Datadog & OpsGenie solutions for common use cases
Template
Datadog Monitor Alert → OpsGenie Alert Creator
Automatically creates a new OpsGenie alert whenever a Datadog monitor enters an alert or warning state, mapping monitor name, severity, tags, and affected host data directly into the OpsGenie alert payload.
Steps:
- Trigger: Datadog monitor transitions to Alert or Warning state via webhook
- Transform: Map Datadog monitor severity to OpsGenie priority tier (P1–P5)
- Action: Create OpsGenie alert with monitor name, tags, metric value, and dashboard link
Connectors Used: Datadog, OpsGenie
Template
OpsGenie Alert Resolution → Datadog Monitor Recovery Sync
Listens for alert resolution events in OpsGenie and automatically closes or annotates the corresponding Datadog monitor, so both platforms reflect the same resolved state and stale open alerts stop causing confusion.
Steps:
- Trigger: OpsGenie alert marked as resolved via webhook or API poll
- Lookup: Match OpsGenie alert to the originating Datadog monitor by stored reference ID
- Action: Add resolved annotation to Datadog monitor timeline and optionally mute for cooldown period
Connectors Used: OpsGenie, Datadog
Template
Datadog Anomaly Detection → OpsGenie On-Call Escalation
When Datadog's anomaly detection identifies unusual metric behavior, this template creates a high-priority OpsGenie alert and escalates immediately to the configured on-call schedule, bypassing standard routing delays for anomaly-class events.
Steps:
- Trigger: Datadog anomaly monitor fires on a metric or APM service
- Enrich: Pull current metric graph snapshot and recent deployment events from Datadog API
- Action: Create P2 OpsGenie alert with enriched context and trigger immediate escalation policy
Connectors Used: Datadog, OpsGenie
Template
Scheduled OpsGenie On-Call Digest → Datadog Dashboard Annotation
At the start of each on-call rotation shift, annotates Datadog dashboards with the current on-call engineer's name and contact details, so the full team knows who's responsible for active monitors during that window.
Steps:
- Trigger: Scheduled tray.ai workflow fires at each OpsGenie rotation shift change
- Fetch: Query OpsGenie API to retrieve current on-call responder for each schedule
- Action: Post annotation to configured Datadog dashboards with on-call name and rotation window
Connectors Used: OpsGenie, Datadog
Template
Datadog Alert Storm Grouper → Single OpsGenie Incident
Detects when multiple Datadog monitors trigger within a short time window, groups them into one consolidated OpsGenie alert to prevent flooding, and attaches a list of all affected monitors and services for full incident scope visibility.
Steps:
- Trigger: Multiple Datadog monitor alerts received within a configurable time window
- Process: Correlate alerts by shared tags, service, or host to identify common root cause groupings
- Action: Create one consolidated OpsGenie alert listing all related monitors and suppress individual duplicates
Connectors Used: Datadog, OpsGenie
Template
Post-Incident Report Builder from Datadog + OpsGenie Data
After an OpsGenie alert closes, automatically compiles a post-incident report by pulling acknowledgment times and responder actions from OpsGenie alongside metric data and event timelines from Datadog, then delivers a structured summary to Slack or a reporting tool.
Steps:
- Trigger: OpsGenie alert transitions to closed/resolved state
- Fetch: Retrieve alert timeline from OpsGenie and correlated metric data from Datadog for the incident window
- Action: Compile structured post-incident summary and deliver to designated Slack channel or reporting system
Connectors Used: OpsGenie, Datadog