Datadog + Slack
Connect Datadog and Slack to Keep Your Team Ahead of Every Incident
Automate alert routing, incident notifications, and on-call escalations between Datadog and Slack so your engineering teams can respond faster.
Why integrate Datadog and Slack?
Datadog and Slack are two tools every modern engineering org depends on — one monitors your infrastructure and applications, the other keeps your teams talking. When they work in isolation, critical alerts get buried in dashboards, response times suffer, and on-call engineers waste minutes hunting for context they shouldn't have to find manually. Connecting Datadog with Slack puts real-time observability data directly into the conversations where your team already works.
Automate & integrate Datadog & Slack
Use case
Real-Time Alert Notifications to Slack Channels
When Datadog triggers a monitor alert — CPU spikes, latency thresholds, error rate anomalies — a structured, context-rich message goes to the relevant Slack channel automatically. Engineers get metric values, alert severity, host names, and a direct link to the Datadog dashboard without leaving Slack.
Use case
Automated Incident Channel Creation
When a high-severity Datadog alert fires, a dedicated Slack incident channel gets created automatically, the relevant on-call engineers and stakeholders are invited, and the initial alert details are posted as a pinned message. Every P1 or P2 incident has a structured, focused space from the first second.
Use case
On-Call Escalation and Acknowledgment Workflows
When a Datadog alert goes unacknowledged for a defined period, the notification escalates automatically to the next on-call engineer or manager via Slack DM. Engineers can acknowledge or escalate directly from Slack using interactive buttons — no tool-switching required.
Use case
Daily and Weekly Infrastructure Health Digests
Schedule automated Slack messages summarizing Datadog metrics — uptime percentages, SLO compliance, error rates, deployment frequency — for engineering leads and stakeholders. Replace manual reporting with data-driven digests delivered to leadership channels every morning or at the start of each sprint.
Use case
Deployment Event Announcements
When Datadog receives a deployment event marker from your CI/CD pipeline, a deployment announcement goes out automatically to your #deployments or #engineering Slack channel. It includes the service name, version, deploying engineer, and a link to correlated Datadog APM traces — so teams can quickly connect deployments to any performance changes that follow.
Use case
SLO Breach Alerts with Stakeholder Notifications
When a Datadog SLO burns through its error budget faster than expected, an automated Slack message goes to both the engineering channel and a broader stakeholder channel. It includes the current burn rate, time to exhaustion, and runbook links so teams can start triage immediately.
Use case
Anomaly Detection Alerts for Business Metrics
Run Datadog's anomaly detection monitors on business-critical metrics like checkout conversion rates, API response times, or payment processing errors, and route alerts to business-facing Slack channels when something looks off. It closes the gap between infrastructure observability and business impact visibility.
Get started with Datadog & Slack integration today
Datadog & Slack Challenges
What challenges are there when working with Datadog & Slack and how will using Tray.ai help?
Challenge
Alert Noise and Channel Flooding
Datadog can generate a lot of monitor alerts, especially in microservices-heavy environments. Without intelligent routing and filtering, Slack channels fill up fast with low-priority notifications, and the actually important incidents start getting missed.
How Tray.ai Can Help:
tray.ai's workflow logic lets you build conditional routing rules that filter alerts by severity, environment, or service tag before anything hits Slack. You can suppress recovery messages, deduplicate flapping alerts, and send different priorities to different channels — so your team only sees what actually needs their attention.
Challenge
Routing Alerts to the Right Teams and Channels
In organizations with multiple engineering teams, a single Datadog alert should reach the team that owns the affected service — not a generic #alerts channel everyone has learned to ignore. Maintaining that routing logic manually is error-prone, and it rarely stays current as teams change.
How Tray.ai Can Help:
tray.ai lets you build dynamic routing logic that reads service ownership tags directly from the Datadog alert payload and maps them to the correct Slack channel or user group. When team structures change, you update the routing logic in one place rather than reconfiguring monitors one by one.
Challenge
Enriching Alerts with Contextual Information
Raw Datadog webhook payloads have metric data but usually lack the context engineers need to start troubleshooting — recent deployments, linked runbooks, related Jira issues, on-call ownership. Without it, engineers spend precious minutes gathering information before they can do anything useful.
How Tray.ai Can Help:
tray.ai workflows can enrich Datadog alert data by calling additional APIs before posting to Slack. Pull runbook links from Confluence, check PagerDuty for on-call ownership, grab recent deployment events, attach a Jira issue link — all assembled into a single Slack notification with the full picture.
Challenge
Keeping Alert Status Synchronized Between Systems
When an engineer acknowledges or resolves an alert in Slack, that status change needs to land back in Datadog. Without a two-way integration, you end up with inconsistent alert states across tools and real confusion about who owns an incident and whether it's been handled.
How Tray.ai Can Help:
tray.ai supports two-way workflows that listen for Slack interactive component events — button clicks, for example — and immediately call the Datadog API to update monitor status, add a comment, or acknowledge the alert. Datadog always reflects the current state of incident response without anyone doing it manually.
Challenge
Managing High-Cardinality Environments at Scale
Large engineering organizations running hundreds of services in Datadog can generate thousands of alert events per day. Handling that volume in Slack — with proper deduplication, threading, and rate limiting — is well beyond what simple webhook configurations can manage.
How Tray.ai Can Help:
tray.ai's workflow engine handles high-volume event streams with built-in rate limiting, error handling, and retry logic. You can use Slack threading to group related alerts under a single parent message, keeping channels readable and all relevant updates in one place — even across hundreds of services.
Start using our pre-built Datadog & Slack templates today
Start from scratch or use one of our pre-built Datadog & Slack templates to quickly solve your most common use cases.
Datadog & Slack Templates
Find pre-built Datadog & Slack solutions for common use cases
Template
Datadog Monitor Alert to Slack Channel Notification
Automatically posts a formatted Slack message to a designated channel whenever a Datadog monitor changes state — alert, warning, no data, or recovery — with full metric context and a direct dashboard link.
Steps:
- Receive Datadog monitor state change webhook event in tray.ai
- Parse alert payload to extract metric values, host tags, severity, and monitor URL
- Format a rich Slack message with color-coded severity and all relevant context
- Post the message to the appropriate Slack channel based on alert tags or service name
- Send a Slack DM to the on-call engineer if severity is P1 or P2
Connectors Used: Datadog, Slack
Template
P1 Alert — Auto-Create Slack Incident Channel and Invite Responders
When Datadog fires a critical severity alert, this template automatically creates a new Slack incident channel, invites on-call engineers, posts the alert details as a pinned message, and sets the channel topic with incident status.
Steps:
- Detect a critical-priority Datadog monitor alert via webhook
- Create a new Slack channel named with the incident ID and service name
- Invite on-call engineers and relevant team leads to the new channel
- Post and pin the full alert details including metric snapshot and runbook link
- Update the channel topic with current incident severity and status
Connectors Used: Datadog, Slack
Template
Unacknowledged Alert Escalation via Slack DM
Monitors Datadog for alerts that haven't been acknowledged within a configurable time window and automatically escalates them via Slack DM to the next tier on-call engineer, with interactive acknowledgment buttons included.
Steps:
- Poll Datadog API for open, unacknowledged alerts older than the configured threshold
- Identify the escalation contact based on on-call schedule or team configuration
- Send a Slack DM with alert context and interactive Acknowledge and Escalate buttons
- Update the Datadog alert status when the engineer acknowledges via Slack
- Log the escalation event to a Slack audit channel for leadership visibility
Connectors Used: Datadog, Slack
Template
Daily Datadog SLO and Uptime Digest to Slack
Pulls SLO compliance data, error budget burn rates, and uptime metrics from Datadog every morning and delivers a formatted summary digest to a designated Slack channel for engineering leads and stakeholders.
Steps:
- Trigger the workflow on a daily schedule each morning
- Query Datadog API for SLO status, error budget remaining, and uptime metrics
- Calculate trends by comparing current values to the previous day's results
- Format a structured Slack digest with service-by-service SLO health summary
- Post the digest to the #engineering-leadership or #reliability Slack channel
Connectors Used: Datadog, Slack
Template
Datadog Deployment Event Announcement to Slack
Listens for deployment event markers posted to Datadog and automatically publishes a formatted deployment announcement to a Slack channel, including the service, version, environment, and a link to correlated APM traces.
Steps:
- Receive a deployment event webhook from Datadog or CI/CD pipeline
- Extract service name, version, environment, and deploying engineer from event payload
- Look up correlated Datadog APM trace URL for the deployment
- Post a structured Slack announcement to the #deployments channel with all details
Connectors Used: Datadog, Slack
Template
SLO Error Budget Burn Rate Alert to Slack and Stakeholder Channel
Monitors Datadog SLO burn rates and automatically sends targeted Slack alerts to both the engineering team and a business stakeholder channel when error budgets are being consumed faster than expected, with runbook and remediation links attached.
Steps:
- Trigger when Datadog SLO burn rate monitor fires a warning or critical alert
- Calculate time-to-budget-exhaustion based on current burn rate data
- Send a detailed alert to the engineering Slack channel with burn rate metrics and runbook
- Post a business-friendly summary to the stakeholder channel with impact context
- Update the alert thread with resolved status once the burn rate returns to normal
Connectors Used: Datadog, Slack