| name | dd-monitors |
| description | Monitor management - create, update, mute, and alerting best practices. |
| metadata | {"version":"1.0.0","author":"datadog-labs","repository":"https://github.com/datadog-labs/agent-skills","tags":"datadog,monitors,alerting,alerts,dd-monitors","globs":"**/datadog*.yaml,**/*monitor*","alwaysApply":"false"} |
Datadog Monitors
Create, manage, and maintain monitors for alerting.
Prerequisites
This requires Go or the pup binary in your path.
pup - go install github.com/datadog-labs/pup@latest
Ensure ~/go/bin is in $PATH.
Quick Start
pup auth login
Common Operations
List Monitors
pup monitors list
pup monitors list --tags "team:platform"
pup monitors list --status "Alert"
Get Monitor
pup monitors get <id> --json
Create Monitor
pup monitors create \
--name "High CPU on web servers" \
--type "metric alert" \
--query "avg(last_5m):avg:system.cpu.user{env:prod} > 80" \
--message "CPU above 80% @slack-ops"
Mute/Unmute
pup monitors mute --id 12345 --duration 1h
pup monitors mute --id 12345 --end "2024-01-15T18:00:00Z"
pup monitors unmute --id 12345
⚠️ Monitor Creation Best Practices
1. Avoid Alert Fatigue
| Rule | Why |
|---|
| No flapping alerts | Use last_Xm not last_1m |
| Meaningful thresholds | Based on SLOs, not guesses |
| Actionable alerts | If no action needed, don't alert |
| Include runbook | @runbook-url in message |
query = "avg(last_1m):avg:system.cpu.user{*} > 50"
query = "avg(last_5m):avg:system.cpu.user{env:prod} by {host} > 80"
2. Use Proper Scoping
query = "avg(last_5m):avg:system.cpu.user{*} > 80"
query = "avg(last_5m):avg:system.cpu.user{env:prod,service:api} by {host} > 80"
3. Set Recovery Thresholds
monitor = {
"query": "avg(last_5m):avg:system.cpu.user{env:prod} > 80",
"options": {
"thresholds": {
"critical": 80,
"critical_recovery": 70,
"warning": 60,
"warning_recovery": 50
}
}
}
4. Include Context in Messages
message = """
## High CPU Alert
Host: {{host.name}}
Current Value: {{value}}
Threshold: {{threshold}}
### Runbook
1. Check top processes: `ssh {{host.name}} 'top -bn1 | head -20'`
2. Check recent deploys
3. Scale if needed
@slack-ops @pagerduty-oncall
"""
⚠️ NEVER Delete Monitors Directly
Use safe deletion workflow (same as dashboards):
def safe_mark_monitor_for_deletion(monitor_id: str, client) -> bool:
"""Mark monitor instead of deleting."""
monitor = client.get_monitor(monitor_id)
name = monitor.get("name", "")
if "[MARKED FOR DELETION]" in name:
print(f"Already marked: {name}")
return False
new_name = f"[MARKED FOR DELETION] {name}"
client.update_monitor(monitor_id, {"name": new_name})
print(f"✓ Marked: {new_name}")
return True
Monitor Types
| Type | Use Case |
|---|
metric alert | CPU, memory, custom metrics |
query alert | Complex metric queries |
service check | Agent check status |
event alert | Event stream patterns |
log alert | Log pattern matching |
composite | Combine multiple monitors |
apm | APM metrics |
Audit Monitors
pup monitors list --json | jq '.[] | select(.tags | contains(["team:"]) | not) | {id, name}'
pup monitors list --json | jq 'sort_by(.overall_state_modified) | .[:10] | .[] | {id, name, status: .overall_state}'
Downtime vs Muting
| Use | When |
|---|
| Mute monitor | Quick one-off, < 1 hour |
| Downtime | Scheduled maintenance, recurring |
pup downtime create \
--scope "env:prod" \
--monitor-tags "team:platform" \
--start "2024-01-15T02:00:00Z" \
--end "2024-01-15T06:00:00Z"
Failure Handling
| Problem | Fix |
|---|
| Alert not firing | Check query returns data, thresholds |
| Too many alerts | Increase window, add recovery threshold |
| No data alerts | Check agent connectivity, metric exists |
| Auth error | pup auth refresh |
References