Observability Platform

8 posts · Jan 2022 – May 2026

What this trail covers

Temporal Cloud integrates with Grafana Cloud for enhanced observability, providing a unified platform for metrics, logs, traces, dashboards, and alerts. This integration allows for visualization of Workflow health, monitoring of Task Queue backlogs, tracking service latency, and uncovering bottlenecks. It includes expanded metrics with new dimensions like `temporal_task_queue` and `workflow_type`, a prebuilt dashboard, cost control features, and AI-assisted exploration via Grafana Assistant. The integration scrapes metrics from Temporal Cloud's OpenMetrics endpoint and pushes them into Grafana Cloud Metrics instances.

All Temporal trails

May 2026Temporal Cloud metrics in Datadog: Easy, out-of-the-box observabilityThis post announces a new integration between Temporal Cloud and Datadog, enabling out-of-the-box metrics dashboards for monitoring system health, performance, and Workflow efficiency. It details the simplified setup process using Service Accounts and API keys, and highlights the cost-saving benefit of using standard Datadog metrics over custom ingestion. The integration provides over 30 metrics, including task queue backlog, open Workflow counts, and throttling events, tagged with attributes like Namespace and Workflow type.
Jan 2026Monitoring Temporal Cloud with ClickStackThis 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 metrics from Temporal Cloud using a Prometheus receiver and a Temporal Cloud API Key. The configuration includes setting up the `prometheus/temporal` receiver with specific scrape configurations targeting `metrics.temporal.io` and using a bearer token for authorization. It also outlines the use of a resource processor to set the `service.name` attribute to 'temporal' and the pipeline configuration to route metrics to the ClickHouse exporter. The post highlights the benefits of unified observability for teams already using ClickStack, enabling them to monitor Workflow success rates, Action consumption, and Task Queue backlogs.
Nov 2025Monitoring Temporal Cloud Workflows with Grafana CloudThis post details the integration of Temporal Cloud metrics with Grafana Cloud. It introduces a new integration that scrapes Temporal Cloud's OpenMetrics endpoint and pushes data into Grafana Cloud Metrics. Key benefits highlighted include expanded metrics with new dimensions (`temporal_task_queue`, `workflow_type`), a prebuilt dashboard for Temporal Cloud, and the use of Grafana Assistant for AI-assisted querying and troubleshooting. The integration runs entirely within Grafana Cloud infrastructure.
Oct 2023Replay replay: Temporal product announcementsAnnounces native Temporal monitoring in Datadog, including an out-of-the-box dashboard and recommended monitors. Also mentions a native Datadog tracing library for the Go SDK.
May 2023Audit Logging in Temporal Cloud now available as public previewThis post announces the public preview of Audit Logging for Temporal Cloud. It details the reasons for its importance (compliance, security, accountability) and outlines what is available in the preview, including logging for user/namespace administrative operations and global configuration. It also mentions that events are sent to an AWS Kinesis sink and that future improvements will include support for S3 and GCP sinks, as well as Workflow events. The post encourages users to try the feature to expedite its general availability.
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Jan 2022Productionizing Workers in TemporalThis 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).