dd-apm

작성자: datadog-labs

APM - 설치, 온보딩, 계측, 활성화, 설정, 구성, 트레이스, 서비스, 종속성, 성능 분석. Datadog APM과 관련된 모든 요청에 사용합니다…

npx skills add https://github.com/datadog-labs/agent-skills --skill dd-apm

Datadog APM

Distributed tracing, service maps, and performance analysis.

Routing — Read This First

Match the user's request to one of the entries below. Each entry has the same shape: triggers → which sub-skill to load → the anti-pattern to avoid. If a request seems to fit more than one entry, see "Overlap disambiguation". If nothing matches, see "None of the above" at the end.


Kubernetes APM install / instrument / onboard — trigger when the user mentions Kubernetes, K8s, EKS, GKE, AKS, kind, minikube, K3s, helm, DatadogAgent CR, kubectl, SSI on a cluster, pod injection, or init containers.

Immediately read .claude/skills/dd-apm/k8s-ssi/agent-install/SKILL.md now, then .claude/skills/dd-apm/k8s-ssi/enable-ssi/SKILL.md, then .claude/skills/dd-apm/k8s-ssi/verify-ssi/SKILL.md — do not proceed from memory.

Common wrong approaches that LOOK like they work but silently fail:

  • helm install datadog datadog/datadog — the standard chart does NOT support SSI via DatadogAgent CR.
  • Adding ddtrace imports or ddtrace-run to the app — SSI auto-instruments WITHOUT any code changes.
  • admission.datadoghq.com/enabled annotations — that's admission controller config injection, not SSI init container injection.

Linux APM install / instrument / onboard — trigger when the user mentions a single host, VM, EC2 instance, bare-metal, RHEL/Ubuntu/Debian, systemd, or no orchestrator.

Immediately read .claude/skills/dd-apm/linux-ssi/agent-install/SKILL.md now, then .claude/skills/dd-apm/linux-ssi/enable-ssi/SKILL.md, then .claude/skills/dd-apm/linux-ssi/verify-ssi/SKILL.md — do not proceed from memory.

Do NOT install the agent via plain apt-get install datadog-agent (or yum equivalent) and assume SSI follows — host auto-instrumentation requires the install script with the SSI flags, which the sub-skill walks through.


Service rename / service remapping — trigger when the user mentions renaming a service, collapsing multiple service names, stripping suffixes/prefixes, or cleaning up inferred services.

Immediately read .claude/skills/dd-apm/service-remapping/SKILL.md now — do not proceed from memory.

Do NOT change tags.datadoghq.com/service labels or DD_SERVICE env vars to rename a service in Datadog. That requires a rollout and only affects new data. Use a service remapping rule — it rewrites the name at ingestion time with no deployment change.


Overlap disambiguation

When a request could plausibly fit more than one entry above, use these tiebreakers:

HintRoute to
Cluster orchestrator mentioned (EKS/GKE/AKS/kind/K3s/minikube) — even if "just one node"k8s-ssi
Single host, VM, or EC2 with no orchestratorlinux-ssi
"Several services that should be one"service-remapping — the sub-skill picks the rule type based on whether the duplicates are real instrumented services or inferred entities (DBs, queues, external APIs)
"My service shows under the wrong name"First check DD_SERVICE on the deploy. If correct and the name is still wrong → service-remapping.
"Reduce APM volume / cost / noise"No sub-skill yet. Ask whether the user means sampling (fewer ingested traces) or retention filters (less indexed data) before suggesting commands.

None of the above

If the request doesn't match any entry above, continue reading the trace-search, service analysis, and metrics content below. If even that doesn't fit, ask the user to clarify — do not invent a workflow.


Requirements

Datadog Labs Pup should be installed. See Setup Pup if not.

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
# Confirm env tag with the user first (do not assume production/prod/prd).
pup apm services list --env <env> --from 1h --to now
pup traces search --query "service:api-gateway" --from 1h

Services

List Services

pup apm services list --env <env> --from 1h --to now
pup apm services stats --env <env> --from 1h --to now

Service Stats

pup apm services stats --env <env> --from 1h --to now

Service Map

# View dependencies
pup apm flow-map --query "service:api-gateway&from=$(($(date +%s)-3600))000&to=$(date +%s)000" --env <env> --limit 10

Traces

Search Traces

# By service
pup traces search --query "service:api-gateway" --from 1h

# Errors only
pup traces search --query "service:api-gateway status:error" --from 1h

# Slow traces (>1s)
pup traces search --query "service:api-gateway @duration:>1000ms" --from 1h

# With specific tag
pup traces search --query "service:api-gateway @http.url:/api/users" --from 1h

Trace Detail

# No direct get command for a single trace ID.
# Use traces search with a narrow query and time window.
pup traces search --query "trace_id:<trace_id>" --from 1h

Key Metrics

MetricWhat It Measures
trace.http.request.hitsRequest count
trace.http.request.durationLatency
trace.http.request.errorsError count
trace.http.request.apdexUser satisfaction

Service Level Objectives

Link APM to SLOs:

pup slos create --file slo.json

Common Queries

GoalQuery
Slowest endpointsavg:trace.http.request.duration{*} by {resource_name}
Error ratesum:trace.http.request.errors{*} / sum:trace.http.request.hits{*}
Throughputsum:trace.http.request.hits{*}.as_rate()

Troubleshooting

ProblemFix
No tracesCheck ddtrace installed, DD_TRACE_ENABLED=true
Missing serviceVerify DD_SERVICE env var
Traces not linkedCheck trace headers propagated
High cardinalityDon't tag with user_id/request_id

References/Docs

datadog-labs의 다른 스킬

dd-audit-compliance-report
datadog-labs
Datadog Audit Trail에서 SOC 2 및 PCI DSS에 대한 감사자 준비 완료 규정 준수 증거를 생성합니다. 프레임워크 컨트롤을 특정 쿼리 패턴에 매핑하고 다음을 생성합니다…
experiment-analyzer
datadog-labs
LLM 실험 결과를 분석합니다. 단일 또는 비교 실험, 탐색적 또는 Q&A 모드를 처리합니다. 사용자가 "실험 분석", "비교…"라고 말할 때 사용하세요.
dd-logs
datadog-labs
로그 관리 - 검색, 파이프라인, 아카이브 및 비용 제어.
dd-monitors
datadog-labs
모니터 관리 - 생성, 업데이트, 음소거 및 알림 모범 사례.
dd-audit-cost-spike-investigation
datadog-labs
Datadog 제품 사용량 또는 비용 급증을 조사하기 위해 사용량 측정 데이터(언제/무엇이 급증했는지)를 감사 추적 구성 변경 사항(누가 무엇을 변경했는지)과 연관시킵니다.
dd-audit-key-compromise
datadog-labs
잠재적으로 유출된 Datadog API 키를 조사합니다 — 작업 타임라인, 지리/IP 분석, 호출된 엔드포인트, 이상 징후 플래그 및 복구 단계.
eval-trace-rca
datadog-labs
프로덕션 LLM 트레이스에서 평가 판정 결과를 신호로 사용하여 근본 원인을 분석합니다. 사용자 애플리케이션이 실패하는 이유를 진단합니다. 사용자가 "eval…"이라고 말할 때 사용하세요.
dd-account-setup
datadog-labs
사용자가 Datadog 설정 또는 계측을 시작하기 전에 올바른 리전에서 유효한 DD_API_KEY로 인증된 Datadog 계정을 보유하고 있는지 확인합니다. 기존…