Microsoft Azure Data Explorer

개요

Azure Data Explorer는 구조화된 데이터나 구조화되지 않은 데이터를 다양한 방법으로 탐색할 수 있도록 도와주어 즉각적으로 인사이트를 얻을 수 있고 규모 조정 정도와 안전성이 높은 분석 서비스입니다. 애드혹 쿼리에 최적화되어 있고 원시 데이터, 구조화된 데이터, 반구조화된 데이터를 탐색할 수 있어 빠른 시간 안에 인사이트를 얻을 수 있습니다. Datadog를 사용해 내 애플리케이션과 인프라스트럭처 컨텍스트 내에서 Azure Data Explorer의 성능과 사용을 모니터링할 수 있습니다.

Azure Data Explore 메트릭을 얻으면 다음을 할 수 있습니다.

  • Data Explorer 인스턴스의 수집, 프로세싱, 대기 시간 성능 추적
  • Data Explorer의 계산, 메모리, 네트워크 리소스 사용 모니터링

설정

설치

아직 설정하지 않았다면, 먼저 Microsoft Azure 통합을 설정하세요. 그 외 다른 설치 단계는 없습니다.

수집한 데이터

메트릭

azure.kusto_clusters.batch_blob_count
(gauge)		Number of data sources in an aggregated batch for ingestion.
azure.kusto_clusters.batch_duration
(gauge)		Duration of the aggregation phase in the ingestion flow.
Shown as second
azure.kusto_clusters.batches_processed
(count)		Number of batches aggregated for ingestion. Batching Type: whether the batch reached batching time; data size or number of files limit set by batching policy.
azure.kusto_clusters.batch_size
(gauge)		Uncompressed expected data size in an aggregated batch for ingestion.
Shown as byte
azure.kusto_clusters.blobs_dropped
(count)		Number of blobs permanently rejected by a component.
azure.kusto_clusters.blobs_processed
(count)		Number of blobs processed by a component.
azure.kusto_clusters.blobs_received
(count)		Number of blobs received from input stream by a component.
azure.kusto_clusters.cache_utilization
(gauge)		Utilization level in the cluster scope.
Shown as percent
azure.kusto_clusters.cache_utilization_factor
(gauge)		Percentage difference between the current number of instances and the optimal number of instances (per cache utilization).
Shown as percent
azure.kusto_clusters.continuous_export_max_lateness_minutes
(gauge)		Lateness (in minutes) reported by the continuous export jobs in the cluster.
azure.kusto_clusters.continuous_export_num_of_records_exported
(count)		Number of records exported; fired for every storage artifact written during the export operation.
azure.kusto_clusters.continuous_export_pending_count
(gauge)		Number of pending continuous export jobs ready for execution.
azure.kusto_clusters.continuous_export_result
(count)		Indicates whether Continuous Export succeeded or failed.
azure.kusto_clusters.cpu
(gauge)		CPU utilization level.
Shown as percent
azure.kusto_clusters.discovery_latency
(gauge)		Reported by data connections (if exist). Time in seconds from when a message is enqueued or event is created until it is discovered by data connection. This time is not included in the Azure Data Explorer total ingestion duration.
Shown as second
azure.kusto_clusters.events_dropped
(count)		Number of events dropped permanently by data connection. An Ingestion result metric with a failure reason will be sent.
azure.kusto_clusters.events_processed
(count)		Number of events processed by the cluster.
azure.kusto_clusters.events_processed_for_event_hubs
(count)		Number of events processed by the cluster when ingesting from Event/IoT Hub.
azure.kusto_clusters.events_received
(count)		Number of events received by data connection.
azure.kusto_clusters.export_utilization
(gauge)		Export utilization.
Shown as percent
azure.kusto_clusters.ingestion_latency_in_seconds
(gauge)		Latency of data ingested; from the time the data was received in the cluster until it's ready for query. The ingestion latency period depends on the ingestion scenario.
Shown as second
azure.kusto_clusters.ingestion_result
(count)		Total number of sources that either failed or succeeded to be ingested. Splitting the metric by status; you can get detailed information about the status of the ingestion operations.
azure.kusto_clusters.ingestion_utilization
(gauge)		Ratio of used ingestion slots in the cluster.
Shown as percent
azure.kusto_clusters.ingestion_volume_in_mb
(count)		Overall volume of ingested data to the cluster.
Shown as byte
azure.kusto_clusters.instance_count
(gauge)		Total instance count.
azure.kusto_clusters.keep_alive
(gauge)		Sanity check indicates the cluster responds to queries.
azure.kusto_clusters.materialized_view_age_minutes
(gauge)		Materialized view age in minutes.
azure.kusto_clusters.materialized_view_age_seconds
(gauge)		Materialized view age in seconds.
Shown as second
azure.kusto_clusters.materialized_view_data_loss
(gauge)		Indicates potential data loss in materialized view.
azure.kusto_clusters.materialized_view_extents_rebuild
(gauge)		Number of extents rebuild.
azure.kusto_clusters.materialized_view_health
(gauge)		Health of the materialized view (1 for healthy; 0 for non-healthy).
azure.kusto_clusters.materialized_view_records_in_delta
(gauge)		Number of records in the non-materialized part of the view.
azure.kusto_clusters.materialized_view_result
(gauge)		Result of the materialization process.
azure.kusto_clusters.query_duration
(gauge)		Queriesduration in seconds.
Shown as millisecond
azure.kusto_clusters.query_result
(count)		Total number of queries.
azure.kusto_clusters.queue_length
(gauge)		Number of pending messages in a component's queue.
azure.kusto_clusters.queue_oldest_message
(gauge)		Time in seconds from when the oldest message in queue was inserted.
azure.kusto_clusters.received_data_size_bytes
(gauge)		Size of data received by data connection. This is the size of the data stream; or of raw data size if provided.
Shown as byte
azure.kusto_clusters.stage_latency
(gauge)		Cumulative time from when a message is discovered until it is received by the reporting component for processing (discovery time is set when message is enqueued for ingestion queue; or when discovered by data connection).
Shown as second
azure.kusto_clusters.streaming_ingest_data_rate
(gauge)		Streaming ingest data rate (MB per second).
azure.kusto_clusters.streaming_ingest_duration
(gauge)		Streaming ingest duration in milliseconds.
Shown as millisecond
azure.kusto_clusters.streaming_ingest_results
(count)		Streaming ingest result.
azure.kusto_clusters.total_number_of_concurrent_queries
(gauge)		Total number of concurrent queries.
azure.kusto_clusters.total_number_of_extents
(gauge)		Total number of data extents.
azure.kusto_clusters.total_number_of_throttled_commands
(count)		Total number of throttled commands.
azure.kusto_clusters.total_number_of_throttled_queries
(gauge)		Total number of throttled queries.
azure.kusto_clusters.weak_consistency_latency
(gauge)		Max latency between the previous metadata sync and the next one (in db/node scope).
Shown as second
azure.kusto_clusters.count
(gauge)		Count of Kusto clusters.
azure.kusto_clusters.status
(gauge)		Status of Kusto clusters(deprecated).

이벤트

Azure Data Explorer 통합에는 이벤트가 포함되어 있지 않습니다.

서비스 점검

Azure Data Explorer 통합에는 서비스 점검이 포함되어 있지 않습니다.

트러블슈팅

도움이 필요하신가요? Datadog 지원팀에 문의하세요.

PREVIEWING: rtrieu/product-analytics-ui-changes