Temporal Cloud integration metrics

The official Datadog integration for monitoring Temporal Cloud. It collects 26 metrics.

Official summary

Gain insights into system health, workflow efficiency, task execution and performance bottlenecks for your instance.

Metric types

  • count (occurrences in the interval): 18
  • gauge (value at a point in time): 8

Metrics

Descriptions are the official definitions, unedited.

MetricTypeUnit
temporal.cloud.v0_frontend_service_errorIncrease in gRPC errorscount-
temporal.cloud.v0_frontend_service_requestIncrease in gRPC requests receivedcount-
temporal.cloud.v0_poll_successIncrease in count tasks that are successfully matched to a pollercount-
temporal.cloud.v0_poll_success_syncIncrease in count tasks that are successfully sync matched to a pollercount-
temporal.cloud.v0_poll_timeoutWhen no tasks are available for a poller before timing out, this is increase in count of such taskscount-
temporal.cloud.v0_replication_lag_p50P50 value using histogram of replication lag during a specific time interval for a multi-region Namespacegaugesecond
temporal.cloud.v0_replication_lag_p90P90 value using histogram of replication lag during a specific time interval for a multi-region Namespacegaugesecond
temporal.cloud.v0_replication_lag_p95P95 value using histogram of replication lag during a specific time interval for a multi-region Namespacegaugesecond
temporal.cloud.v0_replication_lag_p99P99 value using histogram of replication lag during a specific time interval for a multi-region Namespacegaugesecond
temporal.cloud.v0_resource_exhausted_errorIncrease in gRPC requests received that were rate-limitedcount-
temporal.cloud.v0_schedule_action_successIncrease in count of successful execution of a Scheduled Workflowcount-
temporal.cloud.v0_schedule_buffer_overrunsWhen average schedule run length is greater than average schedule interval while a buffer_all overlap policy is configured, this is the increase in count of such scheduled workflow executionscount-
temporal.cloud.v0_schedule_missed_catchup_windowIncrease in count of skipped Scheduled executions when Workflows were delayed longer than the catchup windowcount-
temporal.cloud.v0_schedule_rate_limitedIncrease in count of Scheduled Workflows that were delayed due to exceeding a rate limitcount-
temporal.cloud.v0_service_latency_p50P50 latency for SignalWithStartWorkflowExecution, SignalWorkflowExecution, StartWorkflowExecution operationsgaugesecond
temporal.cloud.v0_service_latency_p90P90 latency for SignalWithStartWorkflowExecution, SignalWorkflowExecution, StartWorkflowExecution operationsgaugesecond
temporal.cloud.v0_service_latency_p95P95 latency for SignalWithStartWorkflowExecution, SignalWorkflowExecution, StartWorkflowExecution operationsgaugesecond
temporal.cloud.v0_service_latency_p99P99 latency for SignalWithStartWorkflowExecution, SignalWorkflowExecution, StartWorkflowExecution operationsgaugesecond
temporal.cloud.v0_state_transitionIncrease in count of state transitions for each Namespacecount-
temporal.cloud.v0_total_actionIncrease in count of Temporal Cloud Actionscount-
temporal.cloud.v0_workflow_cancelIncrease in count of Workflows canceled before completing executioncount-
temporal.cloud.v0_workflow_continued_as_newIncrease in count of Workflow Executions that were Continued-As-New from a past executioncount-
temporal.cloud.v0_workflow_failedIncrease in count of Workflows that failed before completioncount-
temporal.cloud.v0_workflow_successIncrease in count of Workflows that successfully completedcount-
temporal.cloud.v0_workflow_terminateIncrease in count of Workflows terminated before completing executioncount-
temporal.cloud.v0_workflow_timeoutIncrease in count of Workflows that timed out before completing executioncount-

Official documentation

Official documentation for the Temporal Cloud integration

Metric names and descriptions are the official Datadog integration definitions (Copyright Datadog, Inc., BSD-3-Clause), reproduced unedited. The full license terms are on the About page.