File: //opt/netdata/netdata-configs/orig/go.d/azure_monitor.profiles/default/data_explorer.yaml
---
display_name: Azure Data Explorer Cluster
resource_type: Microsoft.Kusto/clusters
metrics:
- id: cpu
azure_name: CPU
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: ingestion_utilization
azure_name: IngestionUtilization
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: cache_utilization_factor
azure_name: CacheUtilizationFactor
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: keep_alive
azure_name: KeepAlive
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: instance_count
azure_name: InstanceCount
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- aggregation: maximum
kind: gauge
- aggregation: minimum
kind: gauge
- id: total_number_of_extents
azure_name: TotalNumberOfExtents
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: total_number_of_throttled_commands
azure_name: TotalNumberOfThrottledCommands
time_grain: PT1M
series:
- aggregation: total
kind: counter
- id: follower_latency
azure_name: FollowerLatency
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: query_duration
azure_name: QueryDuration
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: query_result
azure_name: QueryResult
time_grain: PT1M
series:
- aggregation: count
kind: counter
- id: total_number_of_concurrent_queries
azure_name: TotalNumberOfConcurrentQueries
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- aggregation: maximum
kind: gauge
- id: total_number_of_throttled_queries
azure_name: TotalNumberOfThrottledQueries
time_grain: PT1M
series:
- aggregation: total
kind: counter
- id: weak_consistency_latency
azure_name: WeakConsistencyLatency
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: ingestion_result
azure_name: IngestionResult
time_grain: PT1M
series:
- aggregation: total
kind: counter
- id: ingestion_volume_in_mb
azure_name: IngestionVolumeInMB
time_grain: PT1M
series:
- aggregation: total
kind: counter
- id: ingestion_latency_in_seconds
azure_name: IngestionLatencyInSeconds
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: events_processed
azure_name: EventsProcessed
time_grain: PT1M
series:
- aggregation: total
kind: counter
- id: events_received
azure_name: EventsReceived
time_grain: PT1M
series:
- aggregation: total
kind: counter
- id: events_dropped
azure_name: EventsDropped
time_grain: PT1M
series:
- aggregation: total
kind: counter
- id: blobs_processed
azure_name: BlobsProcessed
time_grain: PT1M
series:
- aggregation: total
kind: counter
- id: blobs_received
azure_name: BlobsReceived
time_grain: PT1M
series:
- aggregation: total
kind: counter
- id: blobs_dropped
azure_name: BlobsDropped
time_grain: PT1M
series:
- aggregation: total
kind: counter
- id: discovery_latency
azure_name: DiscoveryLatency
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: stage_latency
azure_name: StageLatency
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: queue_length
azure_name: QueueLength
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: queue_oldest_message
azure_name: QueueOldestMessage
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: received_data_size_bytes
azure_name: ReceivedDataSizeBytes
time_grain: PT1M
series:
- aggregation: total
kind: counter
- id: batches_processed
azure_name: BatchesProcessed
time_grain: PT1M
series:
- aggregation: total
kind: counter
- id: batch_blob_count
azure_name: BatchBlobCount
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: batch_size
azure_name: BatchSize
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: batch_duration
azure_name: BatchDuration
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: export_utilization
azure_name: ExportUtilization
time_grain: PT1M
series:
- aggregation: maximum
kind: gauge
- id: continuous_export_num_of_records_exported
azure_name: ContinuousExportNumOfRecordsExported
time_grain: PT1M
series:
- aggregation: total
kind: counter
- id: continuous_export_result
azure_name: ContinuousExportResult
time_grain: PT1M
series:
- aggregation: count
kind: counter
- id: continuous_export_pending_count
azure_name: ContinuousExportPendingCount
time_grain: PT1M
series:
- aggregation: maximum
kind: gauge
- id: continuous_export_max_lateness_minutes
azure_name: ContinuousExportMaxLatenessMinutes
time_grain: PT1M
series:
- aggregation: maximum
kind: gauge
- id: streaming_ingest_data_rate
azure_name: StreamingIngestDataRate
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: streaming_ingest_duration
azure_name: StreamingIngestDuration
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: streaming_ingest_results
azure_name: StreamingIngestResults
time_grain: PT1M
series:
- aggregation: count
kind: counter
- id: streaming_ingest_utilization
azure_name: StreamingIngestUtilization
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: materialized_view_health
azure_name: MaterializedViewHealth
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: materialized_view_age_minutes
azure_name: MaterializedViewAgeMinutes
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: materialized_view_age_seconds
azure_name: MaterializedViewAgeSeconds
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: materialized_view_records_in_delta
azure_name: MaterializedViewRecordsInDelta
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: materialized_view_extents_rebuild
azure_name: MaterializedViewExtentsRebuild
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: materialized_view_data_loss
azure_name: MaterializedViewDataLoss
time_grain: PT1M
series:
- aggregation: maximum
kind: gauge
- id: materialized_view_result
azure_name: MaterializedViewResult
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: partitioning_percentage
azure_name: PartitioningPercentage
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: partitioning_percentage_hot
azure_name: PartitioningPercentageHot
time_grain: PT1M
series:
- aggregation: average
kind: gauge
- id: processed_partitioned_records
azure_name: ProcessedPartitionedRecords
time_grain: PT1M
series:
- aggregation: average
kind: gauge
template:
family: Azure Data Explorer Cluster
context_namespace: data_explorer
chart_defaults:
label_promotion:
- resource_name
- resource_group
- region
- resource_type
- profile
instances:
by_labels:
- resource_uid
charts:
- id: am_azure_data_explorer__cpu_utilization
title: Azure Data Explorer CPU Utilization
context: cpu_utilization
family: Compute
type: line
units: percentage
algorithm: absolute
dimensions:
- selector: cpu_average
name: average
- id: am_azure_data_explorer__utilization
title: Azure Data Explorer Utilization
context: utilization
family: Compute
type: line
units: percentage
algorithm: absolute
dimensions:
- selector: ingestion_utilization_average
name: ingestion
- selector: cache_utilization_factor_average
name: cache
- id: am_azure_data_explorer__keep_alive
title: Azure Data Explorer Keep Alive
context: keep_alive
family: Compute
type: line
units: count
algorithm: absolute
dimensions:
- selector: keep_alive_average
name: average
- id: am_azure_data_explorer__instance_count
title: Azure Data Explorer Instance Count
context: instance_count
family: Compute
type: line
units: instances
algorithm: absolute
dimensions:
- selector: instance_count_average
name: average
- selector: instance_count_maximum
name: maximum
- selector: instance_count_minimum
name: minimum
- id: am_azure_data_explorer__extents
title: Azure Data Explorer Total Extents
context: extents
family: Compute
type: line
units: extents
algorithm: absolute
dimensions:
- selector: total_number_of_extents_average
name: average
- id: am_azure_data_explorer__throttled_commands
title: Azure Data Explorer Throttled Commands
context: throttled_commands
family: Compute
type: line
units: commands/s
algorithm: incremental
dimensions:
- selector: total_number_of_throttled_commands_total
name: total
- id: am_azure_data_explorer__follower_latency
title: Azure Data Explorer Follower Latency
context: follower_latency
family: Compute
type: line
units: milliseconds
algorithm: absolute
dimensions:
- selector: follower_latency_average
name: average
- id: am_azure_data_explorer__query_duration
title: Azure Data Explorer Query Duration
context: query_duration
family: Query
type: line
units: milliseconds
algorithm: absolute
dimensions:
- selector: query_duration_average
name: average
- id: am_azure_data_explorer__query_count
title: Azure Data Explorer Query Count
context: query_count
family: Query
type: line
units: queries/s
algorithm: incremental
dimensions:
- selector: query_result_count
name: count
- id: am_azure_data_explorer__concurrent_queries
title: Azure Data Explorer Concurrent Queries
context: concurrent_queries
family: Query
type: line
units: queries
algorithm: absolute
dimensions:
- selector: total_number_of_concurrent_queries_average
name: average
- selector: total_number_of_concurrent_queries_maximum
name: maximum
- id: am_azure_data_explorer__throttled_queries
title: Azure Data Explorer Throttled Queries
context: throttled_queries
family: Query
type: line
units: queries/s
algorithm: incremental
dimensions:
- selector: total_number_of_throttled_queries_total
name: total
- id: am_azure_data_explorer__weak_consistency_latency
title: Azure Data Explorer Weak Consistency Latency
context: weak_consistency_latency
family: Query
type: line
units: seconds
algorithm: absolute
dimensions:
- selector: weak_consistency_latency_average
name: average
- id: am_azure_data_explorer__ingestion_result
title: Azure Data Explorer Ingestion Result
context: ingestion_result
family: Ingestion
type: line
units: sources/s
algorithm: incremental
dimensions:
- selector: ingestion_result_total
name: total
- id: am_azure_data_explorer__ingestion_volume
title: Azure Data Explorer Ingestion Volume
context: ingestion_volume
family: Ingestion
type: line
units: bytes/s
algorithm: incremental
dimensions:
- selector: ingestion_volume_in_mb_total
name: total
- id: am_azure_data_explorer__ingestion_latency
title: Azure Data Explorer Ingestion Latency
context: ingestion_latency
family: Ingestion
type: line
units: seconds
algorithm: absolute
dimensions:
- selector: ingestion_latency_in_seconds_average
name: average
- id: am_azure_data_explorer__events
title: Azure Data Explorer Events
context: events
family: Ingestion
type: line
units: events/s
algorithm: incremental
dimensions:
- selector: events_received_total
name: received
- selector: events_processed_total
name: processed
- selector: events_dropped_total
name: dropped
- id: am_azure_data_explorer__blobs
title: Azure Data Explorer Blobs
context: blobs
family: Ingestion
type: line
units: blobs/s
algorithm: incremental
dimensions:
- selector: blobs_received_total
name: received
- selector: blobs_processed_total
name: processed
- selector: blobs_dropped_total
name: dropped
- id: am_azure_data_explorer__discovery_latency
title: Azure Data Explorer Discovery Latency
context: discovery_latency
family: Ingestion
type: line
units: seconds
algorithm: absolute
dimensions:
- selector: discovery_latency_average
name: average
- id: am_azure_data_explorer__stage_latency
title: Azure Data Explorer Stage Latency
context: stage_latency
family: Ingestion
type: line
units: seconds
algorithm: absolute
dimensions:
- selector: stage_latency_average
name: average
- id: am_azure_data_explorer__ingestion_queue
title: Azure Data Explorer Ingestion Queue
context: ingestion_queue
family: Ingestion
type: line
units: messages
algorithm: absolute
dimensions:
- selector: queue_length_average
name: length
- id: am_azure_data_explorer__queue_oldest_message
title: Azure Data Explorer Queue Oldest Message Age
context: queue_oldest_message
family: Ingestion
type: line
units: seconds
algorithm: absolute
dimensions:
- selector: queue_oldest_message_average
name: age
- id: am_azure_data_explorer__received_data_size
title: Azure Data Explorer Received Data Size
context: received_data_size
family: Ingestion
type: line
units: bytes/s
algorithm: incremental
dimensions:
- selector: received_data_size_bytes_total
name: total
- id: am_azure_data_explorer__batches_processed
title: Azure Data Explorer Batches Processed
context: batches_processed
family: Ingestion
type: line
units: batches/s
algorithm: incremental
dimensions:
- selector: batches_processed_total
name: total
- id: am_azure_data_explorer__batch_blob_count
title: Azure Data Explorer Batch Blob Count
context: batch_blob_count
family: Ingestion
type: line
units: blobs
algorithm: absolute
dimensions:
- selector: batch_blob_count_average
name: average
- id: am_azure_data_explorer__batch_size
title: Azure Data Explorer Batch Size
context: batch_size
family: Ingestion
type: line
units: bytes
algorithm: absolute
dimensions:
- selector: batch_size_average
name: average
- id: am_azure_data_explorer__batch_duration
title: Azure Data Explorer Batch Duration
context: batch_duration
family: Ingestion
type: line
units: seconds
algorithm: absolute
dimensions:
- selector: batch_duration_average
name: average
- id: am_azure_data_explorer__export_utilization
title: Azure Data Explorer Export Utilization
context: export_utilization
family: Export
type: line
units: percentage
algorithm: absolute
dimensions:
- selector: export_utilization_maximum
name: maximum
- id: am_azure_data_explorer__continuous_export_records
title: Azure Data Explorer Continuous Export Records
context: continuous_export_records
family: Export
type: line
units: records/s
algorithm: incremental
dimensions:
- selector: continuous_export_num_of_records_exported_total
name: total
- id: am_azure_data_explorer__continuous_export_result
title: Azure Data Explorer Continuous Export Result
context: continuous_export_result
family: Export
type: line
units: results/s
algorithm: incremental
dimensions:
- selector: continuous_export_result_count
name: count
- id: am_azure_data_explorer__continuous_export_pending
title: Azure Data Explorer Continuous Export Pending Jobs
context: continuous_export_pending
family: Export
type: line
units: jobs
algorithm: absolute
dimensions:
- selector: continuous_export_pending_count_maximum
name: maximum
- id: am_azure_data_explorer__continuous_export_lateness
title: Azure Data Explorer Continuous Export Lateness
context: continuous_export_lateness
family: Export
type: line
units: minutes
algorithm: absolute
dimensions:
- selector: continuous_export_max_lateness_minutes_maximum
name: maximum
- id: am_azure_data_explorer__streaming_ingest_data_rate
title: Azure Data Explorer Streaming Ingest Data Rate
context: streaming_ingest_data_rate
family: Streaming
type: line
units: bytes/s
algorithm: absolute
dimensions:
- selector: streaming_ingest_data_rate_average
name: average
- id: am_azure_data_explorer__streaming_ingest_duration
title: Azure Data Explorer Streaming Ingest Duration
context: streaming_ingest_duration
family: Streaming
type: line
units: milliseconds
algorithm: absolute
dimensions:
- selector: streaming_ingest_duration_average
name: average
- id: am_azure_data_explorer__streaming_ingest_result
title: Azure Data Explorer Streaming Ingest Result
context: streaming_ingest_result
family: Streaming
type: line
units: results/s
algorithm: incremental
dimensions:
- selector: streaming_ingest_results_count
name: count
- id: am_azure_data_explorer__streaming_ingest_utilization
title: Azure Data Explorer Streaming Ingest Utilization
context: streaming_ingest_utilization
family: Streaming
type: line
units: percentage
algorithm: absolute
dimensions:
- selector: streaming_ingest_utilization_average
name: average
- id: am_azure_data_explorer__materialized_view_health
title: Azure Data Explorer Materialized View Health
context: materialized_view_health
family: Materialized Views
type: line
units: status
algorithm: absolute
dimensions:
- selector: materialized_view_health_average
name: health
- id: am_azure_data_explorer__materialized_view_age
title: Azure Data Explorer Materialized View Age
context: materialized_view_age
family: Materialized Views
type: line
units: minutes
algorithm: absolute
dimensions:
- selector: materialized_view_age_minutes_average
name: minutes
- id: am_azure_data_explorer__materialized_view_age_seconds
title: Azure Data Explorer Materialized View Age (Seconds)
context: materialized_view_age_seconds
family: Materialized Views
type: line
units: seconds
algorithm: absolute
dimensions:
- selector: materialized_view_age_seconds_average
name: average
- id: am_azure_data_explorer__materialized_view_records_in_delta
title: Azure Data Explorer Materialized View Records in Delta
context: materialized_view_records_in_delta
family: Materialized Views
type: line
units: records
algorithm: absolute
dimensions:
- selector: materialized_view_records_in_delta_average
name: average
- id: am_azure_data_explorer__materialized_view_extents_rebuild
title: Azure Data Explorer Materialized View Extents Rebuild
context: materialized_view_extents_rebuild
family: Materialized Views
type: line
units: extents
algorithm: absolute
dimensions:
- selector: materialized_view_extents_rebuild_average
name: average
- id: am_azure_data_explorer__materialized_view_data_loss
title: Azure Data Explorer Materialized View Data Loss
context: materialized_view_data_loss
family: Materialized Views
type: line
units: status
algorithm: absolute
dimensions:
- selector: materialized_view_data_loss_maximum
name: maximum
- id: am_azure_data_explorer__materialized_view_result
title: Azure Data Explorer Materialized View Result
context: materialized_view_result
family: Materialized Views
type: line
units: status
algorithm: absolute
dimensions:
- selector: materialized_view_result_average
name: average
- id: am_azure_data_explorer__partitioning_percentage
title: Azure Data Explorer Partitioning Percentage
context: partitioning_percentage
family: Partitioning
type: line
units: percentage
algorithm: absolute
dimensions:
- selector: partitioning_percentage_average
name: total
- selector: partitioning_percentage_hot_average
name: hot
- id: am_azure_data_explorer__partitioned_records
title: Azure Data Explorer Processed Partitioned Records
context: partitioned_records
family: Partitioning
type: line
units: records
algorithm: absolute
dimensions:
- selector: processed_partitioned_records_average
name: average