Daily Datadog Health Digest

For a more detailed Datadog integration guide, click here.

Enable the Datadog MCP

Go to Settings > Connections > MCP servers and search for Datadog. Click Enable, select your Datadog site/region, and add two headers:

DD-API-KEY — find yours in Datadog under Organization Settings > API Keys
DD-APPLICATION-KEY — find yours under Organization Settings > Application Keys

Create the daily schedule

Navigate to Schedules in the left sidebar of app.devin.ai and click Create schedule:

Frequency: Daily — pick a time 30–60 minutes before standup so the team can review findings during the meeting
Slack channel: Select a channel (e.g., #ops-alerts) so your team gets the digest automatically
Prompt: Be specific about thresholds — vague instructions like “look for issues” produce noisy digests that get ignored

Add Knowledge entries about your services so Devin can distinguish normal from abnormal — for example: “The payments service normally runs at 200ms p99; anything above 400ms is a concern. The search service has a known baseline error rate of 0.5%.”

What your team sees in Slack

Each morning, Devin queries Datadog via MCP, checks results against your thresholds, and posts a digest to your channel:

Daily Health Digest — Feb 10, 2026

CRITICAL
  payments-service: Error rate at 3.2% (threshold: 1%)
  Started 4h ago, correlates with deploy #487.
  -> Check /api/checkout handler and recent changes.

WARNING
  search-service: p99 latency at 620ms (threshold: 500ms)
  Gradual increase over 3 days. Likely index degradation.
  -> Review query plans for the product search endpoint.

  web-app: Memory at 82% (threshold: 80%)
  Trending upward since Tuesday.
  -> Investigate session handler for possible memory leak.

INFO
  All other services within normal parameters.
  2 monitors recovered in past 24h: cdn-latency, db-replication-lag.

Reply in the Slack thread to dig into any finding — Devin keeps full context from the scan:

Schedule weekly knowledge updates

Your daily health checks generate a stream of knowledge suggestions — especially when you reply to findings with feedback like “this is a known baseline” or “ignore this monitor during deploys.” Schedule a weekly Devin session to process those suggestions so future runs get smarter automatically.Set this to run weekly (e.g., Monday morning) as a Devin session so it has access to the Knowledge management tools. Over time, this feedback loop means your daily digests become more accurate — fewer false alarms, better severity ratings, and smarter recommendations.