Agent Dd

agent-dd — Datadog Triage CLI

Investigate Datadog monitors, logs, metrics, traces, incidents, and SLOs, and act on what you find by creating or adjusting monitors. Triage, debugging and the hardening that follows — not full Datadog administration (no dashboards, users, roles, pipelines, or synthetics).

When to Use

• Checking monitor/alert status, muting/unmuting monitors
• Creating a monitor to catch a problem you just diagnosed, or adjusting one that misfired
• Searching logs for errors, spikes, or anomalies
• Querying metrics or investigating metric spikes
• Searching traces for latency or errors
• Managing incidents (list, create, update)
• Checking SLO burn rate or error budget

Process

Investigation workflow

1. Identify the signal: monitors list --status alert or incidents list --state active
2. Scope the time window: --from now-1h (or broader)
3. Find the hotspot: logs facets to see which services/hosts/statuses dominate
4. Gather context: Pull logs, metrics, and traces for the affected service
5. Correlate: Do log errors align with metric spikes? Do traces show latency?

Harden after diagnosis

Once you know what broke, the next questions are "how do we stop it happening again" and "how do we get visibility on it". Both mean writing a monitor.

1. Check what already exists — monitors search --query "<service>". Often the right answer is fixing a monitor that misfired, not adding a new one.
2. Dry-run first — --dry-run sends the definition to Datadog's validate endpoint. The query is parsed by the same engine that would run it, so a malformed one fails here rather than being created broken.
3. Then write it — monitors create, or monitors update <id> to adjust an existing monitor's thresholds.
4. Report the diff — update returns a before/after of exactly what moved. Hand that to the human: it is the evidence that nothing else changed.

Prefer update on an existing monitor over creating a near-duplicate. Two monitors covering the same signal is how alert fatigue starts.

Always read before acting

• Check monitor state before muting: monitors get <id>
• Check incident status before updating: incidents get <id>
• Preview logs before drawing conclusions: logs search --query "..." --limit 10

Error handling

Errors are JSON to stderr with a classification:

• fixable_by: agent — bad query syntax or wrong ID. Read the hint and retry.
• fixable_by: human — credentials or permissions. Tell the user.
• fixable_by: retry — transient error. Wait and retry once.

Quick Reference

# Explore (read-only)
agent-dd monitors list --status alert
agent-dd monitors get <id>...
agent-dd logs search --query "service:web status:error" --from now-1h
agent-dd logs facets --query "status:error" --from now-1h
agent-dd metrics query --query "avg:system.cpu.user{host:web-1}" --from now-1h --to now
agent-dd traces search --service my-api --from now-30m
agent-dd incidents list --state active
agent-dd incidents get <id>...
agent-dd slo list
agent-dd slo get <id>...
agent-dd hosts list --tag "env:production"
agent-dd hosts get <hostname>...
agent-dd events get <id>...

# Triage actions
agent-dd monitors mute <id> --reason "investigating" --end now+1h
agent-dd monitors unmute <id>
agent-dd incidents create --title "Elevated error rate" --severity SEV-3
agent-dd incidents update <id> --state stable

# Harden (write) — always --dry-run first
agent-dd monitors create --type "metric alert" \
  --query 'avg(last_5m):avg:system.cpu.user{service:web} > 90' \
  --name "CPU high on web" --message "@slack-oncall" \
  --tag "service:web" --priority 2 \
  --threshold-critical 90 --threshold-warning 80 --dry-run
agent-dd monitors update <id> --threshold-critical 95   # merges; siblings survive
agent-dd monitors update <id> --renotify-interval 30 --dry-run
agent-dd monitors delete <id> --yes [--force]

# Options this CLI has no flag for: pass the whole definition
agent-dd monitors create --body @monitor.json
echo '{"type":"log alert","query":"...","name":"..."}' | agent-dd monitors create --body @-

# Discovery
agent-dd metrics list --search "system.cpu"
agent-dd traces services [--env production] [--search checkout]
agent-dd slo history <id> --from now-7d --to now

Query Syntax

Log queries: service:web status:error @http.status_code:>500 "timeout" Metric queries: avg:system.cpu.user{host:web-1} by {service} Trace queries: same as log syntax, with @duration:>1000000000 (nanoseconds) Monitor queries: avg(last_5m):avg:system.cpu.user{service:web} > 90

A monitor query is not a metric query. It adds an evaluation window (avg(last_5m):) and a threshold comparison (> 90), and the grammar differs per --type — log alert and service check look nothing like the above. Read references/query-syntax.md before writing one, and --dry-run it.

For full operator reference (wildcards, booleans, numeric comparisons, facets): see references/query-syntax.md

Key Concepts

• Time formats: relative (now-15m, now-1h, now-7d), RFC3339, or unix epoch. Defaults: --from now-1h, --to now
• Output: NDJSON by default for all commands (list, search, and single-item get). --full for complete API response. --format json|yaml|jsonl to override. get <id>... accepts 1..N ids — see Get contract below.
• Monitor statuses: Datadog returns OK, Alert, Warn, No Data, Ignored, Skipped, Unknown. --status is case-insensitive and treats spaces and underscores alike, so alert, Alert, no_data and No Data all work — but the value in output is Datadog's spelling
• The state key is always status on a monitor object, in every command. At the top level of create/update/delete/mute output, status instead reports the command's outcome ("updated", "deleted") — nesting tells them apart
• Incident severities: SEV-1 (critical) through SEV-5 (informational)
• Incident statuses: active, stable, resolved

Get Contract

get <id>... takes one or more ids and returns one result per id, in input order. Default output is NDJSON: one line per id — the record, or {"@unresolved":{"id","reason","fixable_by","hint"?}} for an id that couldn't be resolved (e.g. not found / bad id). --format json|yaml collapses to one {"data":[…], "@unresolved":[…]} envelope. A single get <id> is just the one-element case (NDJSON one line by default; pass --format json for the object). Item-level misses stay on stdout and exit 0; only a command-level failure (auth, network) goes to stderr with exit 1 and empty stdout.

Deeper Reference

Per-domain details with examples and field descriptions (only load when you need specifics not covered above):

agent-dd usage                    # top-level command overview
agent-dd logs usage               # log query examples, sort options, compact vs full
agent-dd monitors usage           # monitor statuses, muting best practices
agent-dd metrics usage            # metric query syntax, aggregation details
agent-dd traces usage             # trace search, duration units
agent-dd incidents usage          # severity guide, lifecycle
agent-dd slo usage                # error budgets, history interpretation

Organization Setup — never paste secrets

The api-key and app-key are secrets. If a user pastes either into chat, do not put it into --api-key / --app-key: the value would land in your context window, shell history, ps//proc, and any downstream transcript. Keep the secret off argv.

# Preferred (interactive): the user types both keys into a native OS dialog. The
# secret goes straight into the OS and is never seen by the agent driving the CLI.
agent-dd org add <alias> --form [--site datadoghq.com]

# Non-interactive: pipe the two keys on stdin, one per line — api-key first,
# app-key second. Nothing sensitive touches the command line.
printf '%s\n%s' "$API_KEY" "$APP_KEY" | agent-dd org add <alias> [--site datadoghq.com]

agent-dd org test

Keys are in Datadog → Organization Settings → API Keys / Application Keys.

--form opens a native dialog (macOS osascript, Linux zenity/kdialog, Windows Win32); it requires a graphical desktop session and fails cleanly (fixable_by=human) on headless/SSH hosts — surface the hint, do not retry. The piped-stdin form is the non-interactive fallback: the two-line contract is all-or-nothing (stdin is read only when neither key is passed as a flag), line 1 → api-key, line 2 → app-key. The agent may set --site on the user's behalf, but secret values must always come through --form or piped stdin, never as flag arguments.

org update <alias> accepts the same --form and piped-stdin entry, and merges partially: an omitted key preserves the stored value.

Environment variables also work for direct auth: DD_API_KEY, DD_APP_KEY, DD_SITE.