← Datadog

Post Metric Data with Datadog API

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Post Metric Data with the Datadog API
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Getting Started

Create a workflow to Post Metric Data with the Datadog API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Post Metric Data action
    1. Connect your Datadog account
    2. Select a Region
    3. Select a Metric
    4. Configure Points
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

Integrations

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Post Metric Data with Datadog API on New Submission from Typeform API
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Details

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Post Metric Data on Datadog
Description:The metrics end-point allows you to post time-series data that can be graphed on Datadog's dashboards. [See docs](https://docs.datadoghq.com/metrics)
Version:0.1.2
Key:datadog-post-metric-data

Code

import datadog from "../../datadog.app.mjs";

export default {
  key: "datadog-post-metric-data",
  name: "Post Metric Data",
  description: "The metrics end-point allows you to post time-series data that can be graphed on Datadog's dashboards. [See docs](https://docs.datadoghq.com/metrics)",
  version: "0.1.2",
  type: "action",
  props: {
    datadog,
    region: {
      propDefinition: [
        datadog,
        "region",
      ],
    },
    metric: {
      propDefinition: [
        datadog,
        "metric",
        (c) => ({
          region: c.region,
        }),
      ],
    },
    points: {
      type: "object",
      label: "Points",
      description: "Points relating to a metric. The `key` should be the an Unix timestamp in seconds and `value` should be the point value. Example: `{ \"1640995200\": 1.0 , \"1640998800\": 1.1, \"1641002400\": 1.2 }`. This field will be converted to the expected value for Datadog API",
    },
  },
  methods: {
    convertMetricPoints(points) {
      return Object.keys(points).map((point) => ({
        timestamp: parseFloat(point),
        value: parseFloat(points[point]),
      }));
    },
  },
  async run({ $ }) {
    const response = await this.datadog.postMetricData({
      $,
      data: {
        series: [
          {
            metric: this.metric,
            points: this.convertMetricPoints(this.points),
          },
        ],
      },
      region: this.region,
    });

    $.export("$summary", `Posted to ${this.metric} timeseries`);

    return response;
  },
};

Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
DatadogdatadogappThis component uses the Datadog app.
RegionregionstringSelect a value from the drop down menu:{ "label": "US1 - East", "value": "datadoghq.com" }{ "label": "US3 - West", "value": "us3.datadoghq.com" }{ "label": "US5 - Central", "value": "us5.datadoghq.com" }{ "label": "EU1 - Europe", "value": "datadoghq.eu" }{ "label": "US1-FED (FedRamp)", "value": "ddog-gov.com" }
MetricmetricstringSelect a value from the drop down menu.
Pointspointsobject

Points relating to a metric. The key should be the an Unix timestamp in seconds and value should be the point value. Example: { "1640995200": 1.0 , "1640998800": 1.1, "1641002400": 1.2 }. This field will be converted to the expected value for Datadog API

Authentication

Datadog uses API keys for authentication. When you connect your Datadog account, Pipedream securely stores the keys so you can easily authenticate to Datadog APIs in both code and no-code steps.

Manage your account’s API and applications keys in Datadog

About Datadog

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