Integrate the Datadog API with the MySQL API

Setup the Datadog API trigger to run a workflow which integrates with the MySQL API. Pipedream's integration platform allows you to integrate Datadog and MySQL remarkably fast. Free for developers.

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Popular Ways to Connect Datadog with MySQL#

Execute Raw Query with MySQL API on New Monitor Event (Instant) from Datadog API

Datadog + MySQL

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Create Row with MySQL API on New Monitor Event (Instant) from Datadog API

Datadog + MySQL

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Delete Row with MySQL API on New Monitor Event (Instant) from Datadog API

Datadog + MySQL

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Execute Query with MySQL API on New Monitor Event (Instant) from Datadog API

Datadog + MySQL

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Execute Stored Procedure with MySQL API on New Monitor Event (Instant) from Datadog API

Datadog + MySQL

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Popular Datadog and MySQL Triggers#

New Monitor Event (Instant) from the Datadog API

Emit new events captured by a Datadog monitor

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New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

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New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

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New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

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New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

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Popular Datadog and MySQL Actions#

Execute SQL Query with the MySQL API

Execute a custom MySQL query. See our docs to learn more about working with SQL in Pipedream.

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Post Metric Data with the Datadog API

The metrics end-point allows you to post time-series data that can be graphed on Datadog's dashboards. See docs

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Create Row with the MySQL API

Adds a new row. See the docs here

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Delete Row with the MySQL API

Delete an existing row. See the docs here

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Execute Query with the MySQL API

Find row(s) via a custom query. See the docs here

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Overview of Datadog#

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.

Connect Datadog#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    datadog: {
      type: "app",
      app: "datadog",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.datadoghq.com/api/v1/user`,
      headers: {
        "DD-API-KEY": `${this.datadog.$auth.api_key}`,
        "DD-APPLICATION-KEY": `${this.datadog.$auth.application_key}`,
      },
    })
  },
})

Overview of MySQL#

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL#

import mysql from '@pipedream/mysql';

export default defineComponent({
  props: {
    mysql,
  },
  async run({steps, $}) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql

    const queryObj = {
      sql: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    return await this.mysql.executeQuery(queryObj);
  },
});

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