Blogs›Temporal›Observability Platform
Temporal Cloud now integrates with Datadog and Grafana Cloud, allowing users to ingest Temporal Cloud metrics into their respective dashboards. This provides real-time insights into Workflow execution, system behavior, and service performance, enabling detection of bottlenecks, retry storms, and tracking of Workflow throughput. The integrations utilize platform-specific mechanisms for easy setup and flexible configuration, offering pre-built dashboards, alerts, and anomaly detection capabilities. The Datadog integration specifically offers out-of-the-box dashboards, granular insights tagged with attributes like Namespace, operation type, Task type, Task Queue name, and Workflow type, and over 30 metrics including Signals like approximate Task Queue backlog, open Workflow counts, Workflow completion stats, action throttling, and poller rates.
5/19/2026
This post announces and details the integration of Temporal Cloud metrics with Datadog. It highlights the availability of pre-built dashboards, simplified setup using Service Accounts and API keys, and cost-effectiveness by classifying metrics as standard. The integration provides granular insights with tags and over 30 new metrics, including Task Queue backlog, open Workflow counts, and poller rates.
4/28/2026
This post announces the General Availability of the OpenMetrics Endpoint for Temporal Cloud, allowing users to export metrics to their preferred observability systems. It also introduces the Public Preview of Billable Actions Metrics, which adds the `temporal_cloud_v1_billable_action_count` metric to the Openmetrics endpoint for better insight into Temporal Cloud Actions.
1/28/2026
This post details the integration of Temporal Cloud's OpenMetrics endpoint with ClickStack, a cloud-native observability stack built on ClickHouse. It explains how to configure the OpenTelemetry Collector to scrape Temporal Cloud metrics and ingest them into ClickStack for high-performance storage and querying. The post highlights the benefits of this integration for managing high-cardinality metrics, correlating Temporal performance with other system data, and provides setup instructions and a pre-built dashboard.
11/21/2025
This post details the integration of Temporal Cloud metrics with Grafana Cloud. It explains how Grafana Cloud, a managed observability platform, can ingest metrics from Temporal Cloud's OpenMetrics-compatible endpoint. Key benefits highlighted include visualization of Workflow health, monitoring of Task Queue backlogs, tracking service latency, and uncovering bottlenecks. The integration provides a prebuilt dashboard, cost control features, and AI-assisted exploration. The technical mechanism involves Grafana Cloud periodically scraping metrics from Temporal Cloud's endpoint and pushing them into Grafana Cloud Metrics instances.
4/24/2025
This post announces and details the integration of Temporal Cloud with New Relic for enhanced observability. It highlights the use of the New Relic Flex integration to ingest Temporal Cloud metrics, enabling live monitoring of namespaces and Workflows, pre-built dashboards, alerts, and anomaly detection. The integration aims to provide a production-ready monitoring experience with minimal setup, addressing previous reliance on custom tooling.
4/16/2024
This post announces that Temporal Cloud has surpassed 1,000 customers and highlights the scale of operations, managing over 7,000 namespaces and over 15 billion actions daily. It details innovations in the Temporal Cloud control plane, enabling efficient, cost-effective, and secure scaling, and a custom persistence layer optimized for Temporal, allowing for scale beyond off-the-shelf databases and lower latency. The post also mentions the open-source community and the company's commitment to improving developer lives.
5/19/2023
This post announces the public preview of Audit Logging for Temporal Cloud. It details the benefits of audit logging for compliance, security, and accountability. The preview includes logging for user and namespace administrative operations, as well as global configuration changes. It also mentions an AWS Kinesis sink for data export and future plans for additional sinks (S3, GCP) and auditable events like Workflow events. The post also provides a link to the documentation for getting started.
1/21/2022
This post details the operational aspects of running Temporal Workers in production, focusing on four key areas: Operational Metrics (monitoring and alerting for activity and workflow task health, scaling based on latency), Incident Response & Tooling (using metrics, logs, and execution history for debugging, and workflow replay), Upgrading and Versioning (using the `getVersion` API for deterministic workflow code changes and task queues for cutovers), and Testing Failure Paths (testing for backlogs by simulating worker outages, capacity planning, and explicitly testing timeouts and retry policies).