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Built for the Claude Code community with Claude Code by @mertduzgun

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Dd Monitors

datadog-labs/agent-skills
736 installs125 stars
Summary

This handles Datadog monitor management through the command line, letting you list, search, create from files, and manage alerting downtimes. What makes it worth looking at is the opinionated best practices baked in: it pushes you toward stable alert windows, proper recovery thresholds to prevent flapping, and a safe deletion workflow that marks monitors instead of nuking them. The guidance on avoiding alert fatigue is solid, like using 5 minute windows instead of 1 minute, scoping alerts to what actually matters, and including runbooks in messages. Requires pup in your path to work with the Datadog API.

Install to Claude Code

npx -y skills add datadog-labs/agent-skills --skill dd-monitors --agent claude-code

Installs into .claude/skills of the current project.

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Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
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Files
SKILL.mdView on GitHub

Datadog Monitors

Create, manage, and maintain monitors for alerting.

Prerequisites

This requires pup in your path. See Setup Pup.

Command Execution Order (Token-Efficient)

For scoped commands, use this order:

  1. Check context first (prior outputs, conversation, saved values).
  2. If a required value is missing, run a discovery command first.
  3. If still ambiguous, ask the user to confirm.
  4. Then run the target command.
  5. Avoid speculative commands likely to fail.

Quick Start

pup auth login

Common Operations

List Monitors

pup monitors list
pup monitors list --tags "team:platform"

Get Monitor

pup monitors get <id>

Create Monitor

pup monitors create --file monitor.json

Silence Alerts (Downtime)

# No pup monitors mute/unmute commands.
# Use downtime payloads to silence monitor notifications.
pup downtime create --file downtime.json
pup downtime cancel <downtime_id>

Monitor Creation Best Practices

1. Avoid Alert Fatigue

RuleWhy
No flapping alertsUse last_Xm not last_1m
Meaningful thresholdsBased on SLOs, not guesses
Actionable alertsIf 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

2. Use Proper Scoping

# 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"  # ✅

3. Set Recovery Thresholds

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
        }
    }
}

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

TypeUse Case
metric alertCPU, memory, custom metrics
query alertComplex metric queries
service checkAgent check status
event alertEvent stream patterns
log alertLog pattern matching
compositeCombine multiple monitors
apmAPM metrics

Audit Monitors

# 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}'

Downtime vs Muting

UseWhen
DowntimeAny planned silence window
Monitor editQuery/threshold behavior changes
# Downtime (preferred)
pup downtime create --file downtime.json

Failure Handling

ProblemFix
Alert not firingCheck query returns data, thresholds
Too many alertsIncrease window, add recovery threshold
No data alertsCheck agent connectivity, metric exists
Auth errorpup auth refresh

References

  • Monitor Types
  • Alerting Best Practices
  • SLO Monitors
Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
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Monitor with ease. Code with confidence.
Start Free Trial →
Categories
AI & Agent Building
First SeenMay 16, 2026
View on GitHub

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