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    2.3.1 • Public • Published

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    Stackdriver Monitoring: Node.js Client

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    Stackdriver Monitoring collects metrics, events, and metadata from Google Cloud Platform, Amazon Web Services (AWS), hosted uptime probes, application instrumentation, and a variety of common application components including Cassandra, Nginx, Apache Web Server, Elasticsearch and many others.

    A comprehensive list of changes in each version may be found in the CHANGELOG.

    Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.

    Table of contents:


    Before you begin

    1. Select or create a Cloud Platform project.
    2. Enable billing for your project.
    3. Enable the Stackdriver Monitoring API.
    4. Set up authentication with a service account so you can access the API from your local workstation.

    Installing the client library

    npm install @google-cloud/monitoring

    Using the client library

    // Imports the Google Cloud client library
    const monitoring = require('@google-cloud/monitoring');
    async function quickstart() {
      // Your Google Cloud Platform project ID
      const projectId =
        process.env.GCLOUD_PROJECT ||
        process.env.GOOGLE_CLOUD_PROJECT ||
      // Creates a client
      const client = new monitoring.MetricServiceClient();
      // Prepares an individual data point
      const dataPoint = {
        interval: {
          endTime: {
            seconds: Date.now() / 1000,
        value: {
          // The amount of sales
          doubleValue: 123.45,
      // Prepares the time series request
      const request = {
        name: client.projectPath(projectId),
        timeSeries: [
            // Ties the data point to a custom metric
            metric: {
              type: 'custom.googleapis.com/stores/daily_sales',
              labels: {
                store_id: 'Pittsburgh',
            resource: {
              type: 'global',
              labels: {
                project_id: projectId,
            points: [dataPoint],
      // Writes time series data
      const [result] = await client.createTimeSeries(request);
      console.log('Done writing time series data.', result);


    Samples are in the samples/ directory. Each sample's README.md has instructions for running its sample.

    Sample Source Code Try it
    Alerts source code Open in Cloud Shell
    Metrics source code Open in Cloud Shell
    Quickstart source code Open in Cloud Shell
    Uptime source code Open in Cloud Shell

    The Stackdriver Monitoring Node.js Client API Reference documentation also contains samples.

    Supported Node.js Versions

    Our client libraries follow the Node.js release schedule. Libraries are compatible with all current active and maintenance versions of Node.js.

    Client libraries targeting some end-of-life versions of Node.js are available, and can be installed via npm dist-tags. The dist-tags follow the naming convention legacy-(version).

    Legacy Node.js versions are supported as a best effort:

    • Legacy versions will not be tested in continuous integration.
    • Some security patches may not be able to be backported.
    • Dependencies will not be kept up-to-date, and features will not be backported.

    Legacy tags available

    • legacy-8: install client libraries from this dist-tag for versions compatible with Node.js 8.


    This library follows Semantic Versioning.

    This library is considered to be General Availability (GA). This means it is stable; the code surface will not change in backwards-incompatible ways unless absolutely necessary (e.g. because of critical security issues) or with an extensive deprecation period. Issues and requests against GA libraries are addressed with the highest priority.

    More Information: Google Cloud Platform Launch Stages


    Contributions welcome! See the Contributing Guide.

    Please note that this README.md, the samples/README.md, and a variety of configuration files in this repository (including .nycrc and tsconfig.json) are generated from a central template. To edit one of these files, make an edit to its template in this directory.


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