- 필수 기능
- 시작하기
- Glossary
- 표준 속성
- Guides
- Agent
- 통합
- 개방형텔레메트리
- 개발자
- Administrator's Guide
- API
- Datadog Mobile App
- CoScreen
- Cloudcraft
- 앱 내
- 서비스 관리
- 인프라스트럭처
- 애플리케이션 성능
- APM
- Continuous Profiler
- 스팬 시각화
- 데이터 스트림 모니터링
- 데이터 작업 모니터링
- 디지털 경험
- 소프트웨어 제공
- 보안
- AI Observability
- 로그 관리
- 관리
",t};e.buildCustomizationMenuUi=t;function n(e){let t='
",t}function s(e){let n=e.filter.currentValue||e.filter.defaultValue,t='${e.filter.label}
`,e.filter.options.forEach(s=>{let o=s.id===n;t+=``}),t+="${e.filter.label}
`,t+=`Datadog has released a new pipeline for calculating globally accurate percentiles for your distribution metrics — this unlocks more query functionality and an easier configuration workflow for distributions.
p99:request_latency_distribution{app:A OR app:B} by {app}
.Metric Type | Query Type | # of custom metrics emitted |
---|---|---|
Distribution | Queryable by count , sum , min , max , and avg . | 5 for each tag value combination emitted in your data |
Distribution with percentile aggregations | Queryable by count , sum , min , max , p50 , p75 , p90 , p95 , and p99 . | 10 for each tag value combination emitted in your data |
Click the Manage Tags button to configure which tags are queryable on a particular metric. You can preview the new number of indexed custom metrics from your tag configuration before saving it.
Click Edit and select Include to include percentile aggregations on the same queryable tags defined on your baseline distribution.
Click Calculate Percentiles on the Metrics Summary page and use *
for wildcarding metric names.