The number of failed subscription operations (Subscribe, Unsubscribe). Workflow Runs Completed Count. Total SenderDisconnects for Microsoft.Relay. Execution time of the most recent request. For each such blob, an, Time from data enqueue until discovery by data connections. Count of dead-lettered messages in a Queue/Topic. This total includes some of Active Nodes, Idle Nodes, Unusable Nodes, Premepted Nodes, Leaving Nodes. Number of data sources in a completed batch for ingestion. Please use the Memory Usage (NamespaceMemoryUsage) metric instead. Number of times each context feature appears. The name property is the name of the metric that's being reported. Not applicable to data warehouses. Modify the values in the Y-axis range section, or select Auto to revert to the default values. For more details, see, The health of geo replication in an Active Geo-Replication group. To learn about these options and other advanced features of Azure Monitor metrics explorer, see Advanced features of Azure metrics explorer. Logs from Azure Storage and Azure Event Hub can be routed to a table in your Azure Data Explorer cluster for further analysis. Private Bytes is the current size, in bytes, of memory that the app process has allocated that can't be shared with other processes. Service bus premium namespace memory usage metric. Average number of slot features per event. The maximum number of concurrent (parallel) queries allowed is defined in the request rate limit policy. Count of data read requests to the account. It's sum of capacity used by shared layers, manifest files, and replica copies in each of its repositories. Part of, Average_% Used Inodes. Batching Type: whether the batch reached batching time, data size or number of files limit set by batching policy. The count of all successful registration updates. The utilization of the General-Purpose Compute vcores in Edge Zone Enterprise site. For multiple charts in one view, select New chart. Throttled Requests for Microsoft.EventHub. The number of twins, models, or relationships processed by a bulk operation. Non-numeric data from /sys/class/nvme/, value is always 1. Sum of the throughput of all the volumes belonging to the pool, Sum of the logical size of all the volumes belonging to the pool, Sum of snapshot size of all volumes in this pool, Average read latency in milliseconds per operation, Average write latency in milliseconds per operation. The resource should already be populated if you opened metrics explorer from the resource's menu. Not applicable to hyperscale, Data space used percent. Azure AD service principal. Client latency for all operations to OSTs. You can click and drag on the chart to zoom into a section of a chart. cassandra_datacenter, cassandra_node, request_type, cassandra_client_request_contention_histogram. For more details, see, The total number of items in the cache. Not applicable to data warehouses. Most metrics in Azure are stored for 93 days. I.e. Percentage of CPU utilization on an instance. This dimension indicates whether the response from transactions succeeded or failed. Supported for: Linux, Windows. The total number of messages sent to the MCVP data pipeline for storage. Total number of sources that either failed or succeeded to be ingested. To limit the number of raw values that you have to emit and pay for in Azure Monitor, locally pre-aggregate and emit the aggregated values: For example, if there were four sign-in transactions to your app during a minute, the resulting measured latencies for each might be: Then the resulting metric publication to Azure Monitor would be: If your application can't pre-aggregate locally and needs to emit each discrete sample or event immediately upon collection, you can emit the raw measure values. The average time between an event's ingestion time and the time the event is processed for normalization. Memory usage as a percentage of the SQL DB process. For more details, see, The health status of geo-replication link. The minimum value of the percentage measure of the statistic over the time interval. Supported for: Linux. For example, you might have a namespace called contosomemorymetrics that tracks memory-use metrics which profile your app. The number of records unable to be processed by the pipeline. For WebApps and FunctionApps. Capacity is aggregated in one minute intervals. cassandra_table_tombstone_scanned_histogram_p99. Number of workflow executions getting billed. A dimension is a key/value pair that helps describe other characteristics about the metric that's being collected. The count of all successful back-end-initiated twin reads. Revisit access control policies for your SQL pool and monitor these connections if the count is high, CPU utilization across all nodes in the SQL pool, Represents a high-level representation of usage across the SQL pool. Each metric value would specify a different dimension value for the Process dimension key. Azure Data Explorer metrics provide key indicators as to the health and performance of the Azure Data Explorer cluster resources. Other metrics not in this list might be available in the portal or through legacy APIs. DeviceId, EventCategory, EventClass, EventType. Now in addition to pinning charts, you can . In Event Hubs data connections, if the number of Event Hubs partitions isn't enough for the data egress volume. Part of, Average_Pct Privileged Time. Supported for: Linux. Number of runs running for this workspace. You can then chart, alert, and otherwise use guest OS metrics like platform metrics. Higher generation GCs include all lower generation GCs. Count of all requests against the Communication Services Authentication endpoint. Supported for: Linux, Windows. The default limit is 10 as shown in the above chart. Number of events processed by the cluster, Number of events processed by the cluster when ingesting from Event/IoT Hub. Utilization is reported at one minute intervals. The capacity reported to autoscale when it executed. Number of characters in document translation request. The number of times the generation 1 objects are garbage collected since the start of the app process. Use metrics explorer to investigate the health and utilization of your resources. The metric has a single dimension called Process. For more details, see, Storage Target Permission Errors Received, The rate of permission error responses received by the cache from a specific StorageTarget. VM Uncached Bandwidth Consumed Percentage. Number of blobs processed by a component. In the Azure Metrics Explorer, you can create charts that plot multiple metric lines or show multiple metric charts at the same time. Azure Managed Lustre enables: A managed PaaS experience for worry-free deployment and consumption of Lustre file system. Number of runs failed for this workspace. The rate of operations the cache is servicing for the namespace represented by a specific StorageTarget. User query success rate for this workspace. Percentage of GPU utilization on an instance. For more details, see, The % of get requests that miss. Use this metric with the cache used percentage metric to determine whether to scale for additional capacity or rerun workloads to hydrate the cache, Count of connections blocked by firewall rules. Use the metrics explorer to plot charts from metrics created by your Azure resources and investigate their health and utilization. The notification payload is too large (WNS status: 413). 1 if an endpoint's probe status is "Enabled", 0 otherwise. Only available on VM series that support premium storage. The amount of time in seconds by which the data on the mirror lags behind the source. WNS Authorization Errors (Invalid Credentials). 1 if yes, 0 if no. For important additional information, see Overview of Azure Monitor agents. Includes DNS lookup and transport connection. Number of client connections (exports) to the MDT. Supported for: Linux, Windows. Total number of files supported on the OST. Number of runs that are preparing for this workspace. Select Metrics under the Monitoring section of your resource's menu. The rate at which the app process is issuing write I/O operations. For more details, see, Time in seconds since last successful data synchronization with geo-primary cache. The following request metrics are collected automatically by Application Insights SDK or Status Monitor without any special configuration: Server response time: Time taken to process the request. cassandra_datacenter, cassandra_node, quantile, request_type, client request latency p99 (microseconds). The amount of data (bytes) IoT Hub routing delivered to storage endpoints. Rate of all requests to the application per second from ASP.NET. The number of threads currently active in the app process. Be sure to include the trailing slash. Cumulative differential backup storage size. The rate of synchronous verification operations sent by the cache to a specific StorageTarget. Use the scope picker to select the resources whose metrics you want to see. The count of requests resulting in an HTTP status code 500 but < 600. The rate of access error responses received by the cache from a specific StorageTarget. The amount of storage used by the storage account's Blob service in bytes. You can use them to identify possible outliers. Please see. The observed latency in milliseconds for reject events operation. The rate of client file operations sent to the Cache, excluding data writes, that modify persistent state. Utilization of a GPU device in milli-GPUs. The number of times the generation 0 objects are garbage collected since the start of the app process. You can also gain insights by viewing it in the context of other monitoring information. SSTables skipped due to Bloom Filters, min-max key or partition index lookup are not taken into account. CPU limit. For LogicApps only. This provides the view of the total items discovered as a result of the initial scan of the On-Premises file system. This value does not count messages delivered to fallback route as dropped messages are not delivered there. The duration of the aggregation phase in the ingestion flow. This is a preview metric available in East US, West Europe. In the Resource types menu, these resources are in the All resource types section. Applies to serverless databases. If you need to go over this amount, use Azure Monitor custom logs instead. This counter is the primary indicator of processor activity, and displays the average percentage of busy time observed during the sample interval. Number of blobs received from input stream by a component. The incoming bitrate ingested for a live event, in bits per second. Data storage size. Percentage of Cached Burst BPS Credits used by the VM. Generally, when developers want to include a variable in the metric name, they really want to track multiple time series within one metric and should use dimensions instead of variable metric names. The number of bytes ingressed by the pipeline node. BGP Availability from MSEE towards all peers. Total ActiveConnections for Microsoft.Relay. Total time taken for a bulk operation to complete. The percentage of successful health probes from AFDX to backends. State is represented in numerical form. Container App working set memory used in bytes. Maximum memory capacity of a GPU device in megabytes. The average CPU used across all instances of front end. To pan, select the left and right arrows at the edge of the chart. Queries that have timed out for the workload group. Total number of bytes written by compaction since server [re]start. Metrics are numerical values that are automatically collected at regular intervals and describe some aspect of a resource. That is, you get 24 hours x 4 data points per hour. The count of requests resulting in HTTP 403 status code. Total number of bytes flushed since server [re]start. This metric indicates the average number of searches per second for the NTDS object. Cache hit percentage. Average local read latency for this table. Sessions Count for the Bastion. For standard storage accounts, it's the sum of capacity used by blob, table, file, and queue. After the time grain is determined, the metric values that were captured during each time grain are aggregated on the chart, one data point per time grain. The average amount of memory used by the app, in megabytes (MiB). Outgoing Messages for Microsoft.EventHub. Average time spent waiting for free memtable space, either on- or off-heap. Space used percentage in tempdb transaction log file. The total number of handles currently open by the app process. Percentage of operating system disk I/Os consumed per minute. Number of table row cache hits that do not satisfy the query filter, thus went to disk. The average number of sockets in CLOSE_WAIT state across all the instances of the plan. To hide segments that are irrelevant for your scenario and to make your charts easier to read, use both filtering and splitting on the same dimension. When you're reporting a metric data point, for each dimension key on the reported metric, there's a corresponding dimension value. Metrics are aggregated in one minute intervals. Storage Target Update Found Asynchronous Verification Cache Ops. For WebApps and FunctionApps. Max: The largest value captured during the aggregation interval. Total number of jobs that have been successfully started. The number of bytes out on all network interfaces by the Virtual Machine(s) (Outgoing Traffic). The count of all successful notifications. For WebApps and FunctionApps. The count of all successful direct method calls. Count of failed dependency calls made by the application to external resources. When you're finished with customization, pin the chart to a dashboard or save it to a workbook. EndpointType, EndpointName, RoutingSource. In addition to changing the time range using the time picker panel, you can also pan and zoom using the controls in the chart area. Can occure when waiting for required compute nodes to be ready. You can use server, customer, or product ID, but only if you have a smaller number of each of those types. Utilization is aggregated in one minute intervals. You can also use metrics as the basis for operational Azure Dashboards and Azure Alerts. Number of workflow trigger executions getting billed. Total amount of data stored in the account. The total number of requests regardless of their resulting HTTP status code. The count of pushes that failed because GCM throttled this app (GCM status code: 501-599 or result:Unavailable). Number of times flush has resulted in the memtable being switched out. Time in seconds from when a message is enqueued or event is created until it is discovered by data connection. For LogicApps only. It might have a metric name like Memory Bytes In Use. Not applicable to data warehouses. Amount of memory, in bytes, not subject to purging by the background cleaner. Continuous export number of exported records. Percentage of memory utilization on an instance. The number of threads currently active in the app process. The range of limit is 1 - 50. For example, if the time granularity is set to 15 minutes and the aggregation is set to Sum, each point in the graph will be the sum of all collected values over each 15-minute segment. The number of successful submissions / Hr. Part of, Computer, OSType, Version, SourceComputerId. Open metrics explorer for an Azure resource. Idle nodes are the nodes which are not running any jobs but can accept new job if available. You can also configure metrics alerts. For examples that have filtering and splitting applied, see Metric chart examples. Memory utilization percentage of a CPU node. The count of requests resulting in an HTTP status code >= 500 but < 600. For WebApps and FunctionApps. Select the operator you want to apply against the dimension (property). The baseline number of provisioned IOPS for the premium file share in the premium files storage account. Number of times speculative retries were sent for this table. Number of busy threads in the short parsing thread pool. Number of runs where cancel was requested for this workspace. You can also configure metrics alerts. The number of events for which acknowledgements from clients failed. Number of runs started for this workspace. The number of times DELETE statement has been executed. In the following example, you create a custom metric called Memory Bytes in Use under the metric namespace Memory Profile for a virtual machine. Total amount of live data stored in the memtables (2i and pending flush memtables included) that resides off-heap, excluding any data structure overhead. Each data point represents the. The average, min, and max size of all successful back-end-initiated twin updates. Throughput options at different pricing levels for different workloads. Total write space available to store changed data in the cache. Count is updated whenever a run encounters a warning. Number of Training Hours Processed on an OpenAI FineTuned Model, ApiName, ModelDeploymentName, FeatureName, UsageChannel, Region, Number of Generated Tokens from an OpenAI Model, Number of LUIS speech to intent understanding requests. The rate of file updates discovered by asynchronous verification operations sent by the cache to a specific StorageTarget. For FunctionApps only. Current memory quota, in bytes. p99 How many contended writes were encountered. Off-heap memory used by compression metadata. The total number of bytes that is uploaded to Azure from a share during the reporting period. Usually, the name is descriptive enough to help identify what's measured. The token provided to WNS is not valid (WNS status: 401 Unauthorized). QPU. The count of all failed device-initiated twin updates. Count of all the events generated by an Azure Sphere device. 1,000,000,000 nano cores = 1 core, Amount of working set used by the process (MB). Total ActiveListeners for Microsoft.Relay. Count of all requests against the Communication Services Job Router endpoint. Percentage of filesystem quota consumed by the app. Number of times user only tables have been manually analyzed in this database, AutoAnalyze Counter User Tables (Preview), Number of times user only tables have been analyzed by the autovacuum daemon in this database, Number of times user only tables have been vacuumed by the autovacuum daemon in this database, Number of times disk blocks were found already in the buffer cache, so that a read was not necessary, Number of disk blocks read in this database, Connections from clients which are associated with a PostgreSQL connection, Connections from clients that are waiting for a PostgreSQL connection to service them, Total number of credits consumed by the database server, Total number of credits available to burst, Number of deadlocks detected in this database, Disk Bandwidth Consumed Percentage (Preview), Percentage of disk bandwidth consumed per minute, Percentage of disk I/Os consumed per minute, Number of outstanding I/O operations to the data disk, Maximum lag across all logical replication slots, The age in seconds of the longest query that is currently running, The age in seconds of the longest transaction (including idle transactions), Estimated Dead Rows User Tables (Preview), Estimated number of dead rows for user only tables in this database, Estimated Live Rows User Tables (Preview), Estimated number of live rows for user only tables in this database, Estimated Modifications User Tables (Preview), Estimated number of rows modified since user only tables were last analyzed, Number of backends connected to this database, The age in seconds of the oldest backend (irrespective of the state), Age in units of the oldest xmin. Some resource types can query for metrics over multiple resources. Captured Messages for Microsoft.EventHub. Count of data write requests to the account. In Azure Monitor, metrics are a series of measured values and counts that are collected and stored over time. The number of billable bytes (minimum 2KB per request) sent as responses from HTTP/S proxy to clients. The network bytes transmitted per second. Number of run errors in this workspace. Then select Add metric. Number of unusable nodes. Sessions percentage. Use this metric to determine if you are approaching the service limit for max number of twins allowed per instance. Number of batches aggregated for ingestion. The number of file shares in the storage account. Hard memory limit, from configuration file. Number of characters in incoming custom text translation request. Number of jobs in the queue of the short parsing thread pool. The time lag depends on the overall size of the leader database metadata.This is a cluster level metrics: the followers catch metadata of all databases that are followed. The number of requests in the application request queue. Maximum bytes per second throughput OS Disk can achieve with bursting, Maximum IOPS OS Disk can achieve with bursting, Bytes/Sec read from a single disk during monitoring period for OS disk, Read IOPS from a single disk during monitoring period for OS disk, Baseline bytes per second throughput OS Disk can achieve without bursting, Baseline IOPS OS Disk can achieve without bursting, OS Disk Used Burst BPS Credits Percentage, Percentage of OS Disk burst bandwidth credits used so far, Percentage of OS Disk burst I/O credits used so far, Bytes/Sec written to a single disk during monitoring period for OS disk, Write IOPS from a single disk during monitoring period for OS disk, Outbound Flows are number of current flows in the outbound direction (traffic going out of the VM), The maximum creation rate of outbound flows (traffic going out of the VM). Latency of Send Message operations for Service Bus resources. DTU Percentage. Metrics Explorer - Custom metrics, events and properties - Azure DevOps Blog Metrics Explorer - Custom metrics, events and properties Ketan Ghelani [MSFT] February 7th, 2015 1 0 Knowing how people use your application is vital to shaping your development priorities and architecture. Sign in to Azure portal and navigate to your cluster overview page. This data is not available for standard streaming endpoints. Queued queries across all workload groups. cassandra_table_coordinator_scan_latency_p99, coordinator scan latency p99 (microseconds). Applies to vCore-based databases. This metric is a good way to estimate the load on the cluster. Number of dropped mutations on this table. ApiName, FeatureName, UsageChannel, Region. Count of all requests against the Communication Services Chat endpoint. Number of pending messages in a component's queue. Please use Incoming Messages metric instead (Deprecated), Total incoming send requests for a namespace (Deprecated), Total internal server errors for a namespace (Deprecated). Azure Monitor accepts metric data with timestamps as far as 20 minutes in the past and 5 minutes in the future. Count is updated when a run enters Not Responding state. request/performanceBucket, request/resultCode, operation/synthetic, cloud/roleInstance, request/success, cloud/roleName. Number of busy threads in the long parsing thread pool. Supported for: Linux. Total events published to this partner topic, Total events not matching any of the event subscriptions for this partner topic, Success rate of events delivered to this event subscription where failure is caused due to server errors.
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