Product Analytics
서버 측 이벤트를 Product Analytics로 보냅니다. 서버 측 이벤트 수집을 사용하면 모든 서버 측 소스에서 커스텀 이벤트를 수집하고 15개월 동안 이벤트를 보존할 수 있습니다. 서버 측 이벤트는 클라이언트 측 외부에서 발생하는 퍼널 이탈의 원인(예: 결제 처리 오류)을 파악하는 데 유용합니다.
참고: 서버 측 이벤트를 전송하면 청구액에 영향을 미칩니다. 가격 페이지를 확인하고 자세한 정보는 고객 성공 관리자에게 문의하세요.
서버 측 이벤트 전송
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https://browser-intake-datadoghq.com/api/v2/prodlyticshttps://browser-intake-us3-datadoghq.com/api/v2/prodlyticshttps://browser-intake-us5-datadoghq.com/api/v2/prodlyticshttps://browser-intake-datadoghq.eu/api/v2/prodlyticshttps://browser-intake-ap1-datadoghq.com/api/v2/prodlyticshttps://browser-intake-ap2-datadoghq.com/api/v2/prodlyticshttps://browser-intake-uk1-datadoghq.com/api/v2/prodlyticsNot supported in the US1-FED regionNot supported in the US2-FED region스칼라 분석 계산
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https://api.datadoghq.com/api/v2/product-analytics/analytics/scalarhttps://api.us3.datadoghq.com/api/v2/product-analytics/analytics/scalarhttps://api.us5.datadoghq.com/api/v2/product-analytics/analytics/scalarhttps://api.datadoghq.eu/api/v2/product-analytics/analytics/scalarhttps://api.ap1.datadoghq.com/api/v2/product-analytics/analytics/scalarhttps://api.ap2.datadoghq.com/api/v2/product-analytics/analytics/scalarhttps://api.uk1.datadoghq.com/api/v2/product-analytics/analytics/scalarhttps://api.ddog-gov.com/api/v2/product-analytics/analytics/scalarhttps://api.us2.ddog-gov.com/api/v2/product-analytics/analytics/scalar시계열 분석 계산
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https://api.datadoghq.com/api/v2/product-analytics/analytics/timeserieshttps://api.us3.datadoghq.com/api/v2/product-analytics/analytics/timeserieshttps://api.us5.datadoghq.com/api/v2/product-analytics/analytics/timeserieshttps://api.datadoghq.eu/api/v2/product-analytics/analytics/timeserieshttps://api.ap1.datadoghq.com/api/v2/product-analytics/analytics/timeserieshttps://api.ap2.datadoghq.com/api/v2/product-analytics/analytics/timeserieshttps://api.uk1.datadoghq.com/api/v2/product-analytics/analytics/timeserieshttps://api.ddog-gov.com/api/v2/product-analytics/analytics/timeserieshttps://api.us2.ddog-gov.com/api/v2/product-analytics/analytics/timeseries분석 이벤트 나열preview
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https://api.datadoghq.com/api/v2/product-analytics/analytics/listhttps://api.us3.datadoghq.com/api/v2/product-analytics/analytics/listhttps://api.us5.datadoghq.com/api/v2/product-analytics/analytics/listhttps://api.datadoghq.eu/api/v2/product-analytics/analytics/listhttps://api.ap1.datadoghq.com/api/v2/product-analytics/analytics/listhttps://api.ap2.datadoghq.com/api/v2/product-analytics/analytics/listhttps://api.uk1.datadoghq.com/api/v2/product-analytics/analytics/listhttps://api.ddog-gov.com/api/v2/product-analytics/analytics/listhttps://api.us2.ddog-gov.com/api/v2/product-analytics/analytics/list여정 퍼널 분석 계산preview
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https://api.datadoghq.com/api/v2/product-analytics/journey/funnelhttps://api.us3.datadoghq.com/api/v2/product-analytics/journey/funnelhttps://api.us5.datadoghq.com/api/v2/product-analytics/journey/funnelhttps://api.datadoghq.eu/api/v2/product-analytics/journey/funnelhttps://api.ap1.datadoghq.com/api/v2/product-analytics/journey/funnelhttps://api.ap2.datadoghq.com/api/v2/product-analytics/journey/funnelhttps://api.uk1.datadoghq.com/api/v2/product-analytics/journey/funnelhttps://api.ddog-gov.com/api/v2/product-analytics/journey/funnelhttps://api.us2.ddog-gov.com/api/v2/product-analytics/journey/funnel여정 시계열 분석 계산하기preview
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https://api.datadoghq.com/api/v2/product-analytics/journey/timeserieshttps://api.us3.datadoghq.com/api/v2/product-analytics/journey/timeserieshttps://api.us5.datadoghq.com/api/v2/product-analytics/journey/timeserieshttps://api.datadoghq.eu/api/v2/product-analytics/journey/timeserieshttps://api.ap1.datadoghq.com/api/v2/product-analytics/journey/timeserieshttps://api.ap2.datadoghq.com/api/v2/product-analytics/journey/timeserieshttps://api.uk1.datadoghq.com/api/v2/product-analytics/journey/timeserieshttps://api.ddog-gov.com/api/v2/product-analytics/journey/timeserieshttps://api.us2.ddog-gov.com/api/v2/product-analytics/journey/timeseries여정 스칼라 분석 계산preview
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https://api.datadoghq.com/api/v2/product-analytics/journey/scalarhttps://api.us3.datadoghq.com/api/v2/product-analytics/journey/scalarhttps://api.us5.datadoghq.com/api/v2/product-analytics/journey/scalarhttps://api.datadoghq.eu/api/v2/product-analytics/journey/scalarhttps://api.ap1.datadoghq.com/api/v2/product-analytics/journey/scalarhttps://api.ap2.datadoghq.com/api/v2/product-analytics/journey/scalarhttps://api.uk1.datadoghq.com/api/v2/product-analytics/journey/scalarhttps://api.ddog-gov.com/api/v2/product-analytics/journey/scalarhttps://api.us2.ddog-gov.com/api/v2/product-analytics/journey/scalar여정 엔터티 나열preview
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https://api.datadoghq.com/api/v2/product-analytics/journey/listhttps://api.us3.datadoghq.com/api/v2/product-analytics/journey/listhttps://api.us5.datadoghq.com/api/v2/product-analytics/journey/listhttps://api.datadoghq.eu/api/v2/product-analytics/journey/listhttps://api.ap1.datadoghq.com/api/v2/product-analytics/journey/listhttps://api.ap2.datadoghq.com/api/v2/product-analytics/journey/listhttps://api.uk1.datadoghq.com/api/v2/product-analytics/journey/listhttps://api.ddog-gov.com/api/v2/product-analytics/journey/listhttps://api.us2.ddog-gov.com/api/v2/product-analytics/journey/list리텐션 그리드 계산preview
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https://api.datadoghq.com/api/v2/product-analytics/retention/gridhttps://api.us3.datadoghq.com/api/v2/product-analytics/retention/gridhttps://api.us5.datadoghq.com/api/v2/product-analytics/retention/gridhttps://api.datadoghq.eu/api/v2/product-analytics/retention/gridhttps://api.ap1.datadoghq.com/api/v2/product-analytics/retention/gridhttps://api.ap2.datadoghq.com/api/v2/product-analytics/retention/gridhttps://api.uk1.datadoghq.com/api/v2/product-analytics/retention/gridhttps://api.ddog-gov.com/api/v2/product-analytics/retention/gridhttps://api.us2.ddog-gov.com/api/v2/product-analytics/retention/grid리텐션 시계열 계산preview
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https://api.datadoghq.com/api/v2/product-analytics/retention/timeserieshttps://api.us3.datadoghq.com/api/v2/product-analytics/retention/timeserieshttps://api.us5.datadoghq.com/api/v2/product-analytics/retention/timeserieshttps://api.datadoghq.eu/api/v2/product-analytics/retention/timeserieshttps://api.ap1.datadoghq.com/api/v2/product-analytics/retention/timeserieshttps://api.ap2.datadoghq.com/api/v2/product-analytics/retention/timeserieshttps://api.uk1.datadoghq.com/api/v2/product-analytics/retention/timeserieshttps://api.ddog-gov.com/api/v2/product-analytics/retention/timeserieshttps://api.us2.ddog-gov.com/api/v2/product-analytics/retention/timeseries리텐션 스칼라 값을 계산합니다.preview
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https://api.datadoghq.com/api/v2/product-analytics/retention/scalarhttps://api.us3.datadoghq.com/api/v2/product-analytics/retention/scalarhttps://api.us5.datadoghq.com/api/v2/product-analytics/retention/scalarhttps://api.datadoghq.eu/api/v2/product-analytics/retention/scalarhttps://api.ap1.datadoghq.com/api/v2/product-analytics/retention/scalarhttps://api.ap2.datadoghq.com/api/v2/product-analytics/retention/scalarhttps://api.uk1.datadoghq.com/api/v2/product-analytics/retention/scalarhttps://api.ddog-gov.com/api/v2/product-analytics/retention/scalarhttps://api.us2.ddog-gov.com/api/v2/product-analytics/retention/scalar리텐션 셀 뒤에 있는 엔터티를 나열합니다.preview
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https://api.datadoghq.com/api/v2/product-analytics/retention/listhttps://api.us3.datadoghq.com/api/v2/product-analytics/retention/listhttps://api.us5.datadoghq.com/api/v2/product-analytics/retention/listhttps://api.datadoghq.eu/api/v2/product-analytics/retention/listhttps://api.ap1.datadoghq.com/api/v2/product-analytics/retention/listhttps://api.ap2.datadoghq.com/api/v2/product-analytics/retention/listhttps://api.uk1.datadoghq.com/api/v2/product-analytics/retention/listhttps://api.ddog-gov.com/api/v2/product-analytics/retention/listhttps://api.us2.ddog-gov.com/api/v2/product-analytics/retention/listSankey 다이어그램 컴퓨팅preview
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https://api.datadoghq.com/api/v2/product-analytics/sankeyhttps://api.us3.datadoghq.com/api/v2/product-analytics/sankeyhttps://api.us5.datadoghq.com/api/v2/product-analytics/sankeyhttps://api.datadoghq.eu/api/v2/product-analytics/sankeyhttps://api.ap1.datadoghq.com/api/v2/product-analytics/sankeyhttps://api.ap2.datadoghq.com/api/v2/product-analytics/sankeyhttps://api.uk1.datadoghq.com/api/v2/product-analytics/sankeyhttps://api.ddog-gov.com/api/v2/product-analytics/sankeyhttps://api.us2.ddog-gov.com/api/v2/product-analytics/sankey