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Full ReviewThe Datadog and Slack integration is a must-have for engineering and DevOps teams. It delivers real-time monitoring alerts, incident notifications, and infrastructure metrics directly into Slack channels where your team already communicates. When a server goes down or latency spikes, your team finds out in Slack within seconds rather than relying on email notifications that might go unread.
Datadog offers a robust native Slack integration that goes beyond simple alert forwarding. You can share graphs, create incidents from Slack, run Datadog queries with slash commands, and even acknowledge or mute alerts without leaving your messaging app. The integration is free to set up and is one of the most widely used Datadog integrations.
For teams practicing ChatOps or incident management through Slack, this integration transforms Slack from a chat tool into an operational command center with full observability context.
| Method | Difficulty | Features |
|---|---|---|
| Native Integration | Easy | Alert notifications, graph sharing, slash commands, incident management |
| Datadog Webhook | Medium | Custom formatted messages to any Slack webhook URL |
| Slack Workflow Builder + Datadog API | Medium | Custom Slack workflows triggered by Datadog events |
In Datadog, go to Integrations → Integrations tab. Search for "Slack" and click Install on the Slack integration tile.
Click Connect Slack Account. You will be redirected to Slack's OAuth authorization page. Select the workspace you want to connect and click Allow.
In the integration settings, add channel mappings. For each Datadog alert or notification type, specify which Slack channel should receive the messages. You can map different monitors to different channels.
When creating or editing a Datadog monitor, add @slack-channel-name in the notification message field. This directs alerts from that specific monitor to the designated Slack channel.
The Datadog Slack app adds the /datadog slash command to your workspace. Use it to query metrics, share dashboards, and manage incidents directly from any Slack channel.
| Data Type | Direction | Frequency |
|---|---|---|
| Monitor alerts | Datadog → Slack | Real-time |
| Graphs and snapshots | Datadog → Slack | On demand |
| Incident updates | Bidirectional | Real-time |
| Alert acknowledgments | Slack → Datadog | On action |
| Dashboard links and previews | Datadog → Slack | On share |
When a Datadog monitor detects a critical issue like high error rates or server downtime, an alert is posted to the #incidents Slack channel with a graph showing the anomaly. On-call engineers can acknowledge the alert, start a Datadog incident, and coordinate the response all within Slack.
Use a scheduled Datadog monitor to post a daily summary of key infrastructure metrics (uptime, error rates, latency P99) to the #engineering-standup Slack channel, giving the team a quick health check without opening Datadog.
Verify the @slack-channel-name tag in the monitor notification body is correct (use the exact channel name, lowercase, with hyphens). Ensure the Datadog Slack app has been added to the target channel. Check Datadog's monitor notification history for delivery failures.
If the Datadog app cannot post to certain channels, re-authorize the integration. In Slack, go to Apps → Datadog → Configuration and verify the bot has permission to post in the required channels. For private channels, you must invite the Datadog bot manually.
The Slack integration does not support triggering Datadog actions from Slack messages beyond the slash command functionality. Alert messages in Slack have a character limit and very complex monitors may have truncated output. Graphs embedded in Slack are static snapshots, not live-updating. High-alert-volume environments may cause notification fatigue in Slack; use Datadog's composite monitors and downtime scheduling to manage alert noise. The integration requires Datadog Standard plan or higher for full functionality.
These platforms can help you connect Datadog and Slack without writing code: