بنقرة واحدة
بنقرة واحدة
| 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"} |
Create, manage, and maintain monitors for alerting.
This requires the pup binary in your path.
pup - cargo install --git https://github.com/DataDog/pup
pup auth login
pup monitors list
pup monitors list --tags "team:platform"
pup monitors search --query "status:Alert"
pup monitors get <id>
pup monitors create --file monitor.json
# Mute with duration
pup monitors update 12345 --file monitor-muted.json
# Or mute with specific end time
pup monitors update 12345 --file monitor-muted-until.json
# Unmute
pup monitors update 12345 --file monitor-unmuted.json
| 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 |
# WRONG - will flap constantly
query = "avg(last_1m):avg:system.cpu.user{*} > 50" # ❌ Too sensitive
# CORRECT - stable alerting
query = "avg(last_5m):avg:system.cpu.user{env:prod} by {host} > 80" # ✅ Reasonable window
# WRONG - alerts on everything
query = "avg(last_5m):avg:system.cpu.user{*} > 80" # ❌ No scope
# CORRECT - scoped to what matters
query = "avg(last_5m):avg:system.cpu.user{env:prod,service:api} by {host} > 80" # ✅
monitor = {
"query": "avg(last_5m):avg:system.cpu.user{env:prod} > 80",
"options": {
"thresholds": {
"critical": 80,
"critical_recovery": 70, # ✅ Prevents flapping
"warning": 60,
"warning_recovery": 50
}
}
}
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
"""
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
| 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 |
# Find monitors without owners
pup monitors list | jq '.[] | select(.tags | contains(["team:"]) | not) | {id, name}'
# Find noisy monitors (high alert count)
pup monitors list | jq 'sort_by(.overall_state_modified) | .[:10] | .[] | {id, name, status: .overall_state}'
| Use | When |
|---|---|
| Mute monitor | Quick one-off, < 1 hour |
| Downtime | Scheduled maintenance, recurring |
# Downtime (preferred)
pup downtime create --file downtime.json
| 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 |
Datadog API CLI with 49 command groups, 300+ subcommands. Skills and domain agents for monitoring, logs, APM, security, and infrastructure.
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