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    Application Real-Time Monitoring Service:Report metrics with OpenTelemetry endpoints

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    Application Real-Time Monitoring Service:Report metrics with OpenTelemetry endpoints

    Last Updated:May 07, 2026

    Managed Service for Prometheus provides OpenTelemetry endpoints to ingest metrics from your OpenTelemetry-instrumented applications into Managed Service for Prometheus. You can then use Grafana to query this data to monitor the performance and health of your applications.

    Usage notes

    • Only V1 Prometheus instances are supported.

    • OpenTelemetry metrics can be reported only over HTTP. gRPC is not supported.

    • When you report data over HTTP, the Content-Encoding header supports only the application/protobuf serialization method. The application/json serialization method is not supported.

    • The following table shows the mapping between OpenTelemetry and Prometheus metric types.

      OpenTelemetry

      Prometheus

      Sum(monotonic & cumulative)

      counter

      Sum(monotonic & delta)

      gauge

      Sum(none-monotonic & cumulative)

      gauge

      Gauge

      gauge

      Histogram(cumulative)

      histogram

      Histogram(delta)

      Not supported

      Exponential Histogram

      Not supported

      Summary

      summary

    • Supported regions:

      Area

      Region

      Region ID

      Chinese mainland

      China (Hangzhou)

      cn-hangzhou

      China (Shanghai)

      cn-shanghai

      China (Shenzhen)

      cn-shenzhen

      China (Heyuan)

      cn-heyuan

      China (Guangzhou)

      cn-guangzhou

      China (Qingdao)

      cn-qingdao

      China (Beijing)

      cn-beijing

      China (Zhangjiakou)

      cn-zhangjiakou

      China (Hohhot)

      cn-huhehaote

      China (Ulanqab)

      cn-wulanchabu

      China (Chengdu)

      cn-chengdu

      China (Hong Kong)

      cn-hongkong

      International

      Singapore

      ap-southeast-1

    Prerequisites

    You have created a Prometheus instance. For more information, see:

    Step 1: Get the OpenTelemetry endpoint

    1. Log on to the Cloud Monitor console. In the left navigation pane, choose Managed Service for Prometheus > Instances. The Instances page appears.

    2. At the top of the page, select the region where your instance is located. Find the target instance and click Settings in the Actions column.

    3. On the Settings tab, copy the public or internal endpoint, as needed.

      image.png

    Step 2: Update the application endpoint

    This topic uses Java as an example. In OtlpHttpMetricExporterBuilder, update the Endpoint parameter with the endpoint from Step 1 to ingest your application's OpenTelemetry metrics into Managed Service for Prometheus. For more information, see the sample demo.

    You can also configure the following parameters:

    • By default, compression is disabled for OpenTelemetry clients. To reduce network usage, set the compression parameter to gzip.

    • To prefix all metrics reported to Managed Service for Prometheus, add a header that sets the metricNamespace.

    • By default, the service adds an OpenTelemetry scope label to all metrics reported to Managed Service for Prometheus. To prevent this, add a header that sets skipGlobalLabel to true.

    Note

    For more information about how to configure these parameters, see the sample demo.

    Step 3: View monitoring data

    1. Log on to the Cloud Monitor console. In the left navigation pane, choose Managed Service for Prometheus > Instances. The Instances page appears.

    2. Click the name of the target instance.

    3. Click Metric Management. On the Explore tab, enter a PromQL query that includes your metrics to view the reported data.