Post Metric Data with Datadog API on New Requests (Payload Only) from HTTP / Webhook API

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New Requests (Payload Only) from the HTTP / Webhook API

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Post Metric Data with the Datadog API

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Getting Started#

This integration creates a workflow with a HTTP / Webhook trigger and Datadog action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Requests (Payload Only) trigger
1. Connect your HTTP / Webhook account
Configure the Post Metric Data action
1. Connect your Datadog account
2. Select a Region
3. Select a Metric
4. Configure Points
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are 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.

Trigger#

New Requests (Payload Only) on HTTP / Webhook

Description:Get a URL and emit the HTTP body as an event on every request

Version:0.1.1

Key:http-new-requests-payload-only

View on GitHub

HTTP / Webhook Overview#

Build, test, and send HTTP requests without code using your Pipedream workflows. The HTTP / Webhook action is a tool to build HTTP requests with a Postman-like graphical interface.

Point and click HTTP requests

Define the target URL, HTTP verb, headers, query parameters, and payload body without writing custom code.

$A screenshot of Pipedream's HTTP Request Configuration interface with a GET request type selected. The request URL is set to 'https://api.openai.com/v1/models'. The 'Auth' tab is highlighted, indicating that authentication is required for this request. In the headers section, there are two headers configured: 'User-Agent' is set to 'pipedream/1', and 'Authorization' is set to 'Bearer {{openai_api_key}}', showing how the OpenAI account's API key is dynamically inserted into the headers to handle authentication automatically.$

Here's an example workflow that uses the HTTP / Webhook action to send an authenticated API request to OpenAI.

Focus on integrating, not authenticating

This action can also use your connected accounts with third-party APIs. Selecting an integrated app will automatically update the request’s headers to authenticate with the app properly, and even inject your token dynamically.

Pipedream integrates with thousands of APIs, but if you can’t find a Pipedream integration simply use Environment Variables in your request headers to authenticate with.

Compatible with no code actions or Node.js and Python

The HTTP/Webhook action exports HTTP response data for use in subsequent workflow steps, enabling easy data transformation, further API calls, database storage, and more.

Response data is available for both coded (Node.js, Python) and no-code steps within your workflow.

Trigger Code#

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

// Core HTTP component
// Returns a 200 OK response, emits the HTTP payload as an event
export default {
  key: "http-new-requests-payload-only",
  name: "New Requests (Payload Only)",
  // eslint-disable-next-line
  description: "Get a URL and emit the HTTP body as an event on every request",
  version: "0.1.1",
  type: "source",
  props: {
    // eslint-disable-next-line
    httpInterface: {
      type: "$.interface.http",
      customResponse: true,
    },
    http,
  },
  async run(event) {
    const { body } = event;
    this.httpInterface.respond({
      status: 200,
      body,
    });
    // Emit the HTTP payload
    this.$emit({
      body,
    });
  },
};

Trigger 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.

Label	Prop	Type	Description
N/A	`httpInterface`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
HTTP / Webhook	`http`	`app`	This component uses the HTTP / Webhook app.

Trigger Authentication#

The HTTP / Webhook API does not require authentication.

About HTTP / Webhook#

Get a unique URL where you can send HTTP or webhook requests

Action#

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

View on GitHub

Datadog Overview#

The Datadog API, accessible through Pipedream, empowers you to programmatically interact with Datadog's monitoring and analytics platform. This enables developers to automate the retrieval of monitoring data, manage alert configurations, and synchronize service health information across systems. With Pipedream's serverless execution model, you can create intricate workflows that react to Datadog events or metrics, manipulate the data, and pass it on to other services or even Datadog itself for a cohesive operational ecosystem.

Action 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;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Datadog	`datadog`	`app`	This component uses the Datadog app.
Region	`region`	`string`	Select 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" }`
Metric	`metric`	`string`	Select a value from the drop down menu.
Points	`points`	`object`	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

Action 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#

Cloud monitoring as a service

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