Integrate the Loggly (Send Data) API with the MySQL API

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

Popular Ways to Connect Loggly (Send Data) with MySQL#

Send Event with Loggly (Send Data) API on New Column from MySQL API

MySQL + Loggly (Send Data)

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Send Event with Loggly (Send Data) API on New or Updated Row from MySQL API

MySQL + Loggly (Send Data)

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Send Event with Loggly (Send Data) API on New Row (Custom Query) from MySQL API

MySQL + Loggly (Send Data)

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Send Event with Loggly (Send Data) API on New Row from MySQL API

MySQL + Loggly (Send Data)

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Send Event with Loggly (Send Data) API on New Table from MySQL API

MySQL + Loggly (Send Data)

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Popular Loggly (Send Data) and MySQL Triggers#

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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New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

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Popular Loggly (Send Data) and MySQL Actions#

Send Event with the Loggly (Send Data) API

Send events to Loggly, with tags. See the docs for more details

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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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Execute Raw Query with the MySQL API

Find row(s) via a custom raw query. See the documentation

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Overview of Loggly (Send Data)#

The Loggly (Send Data) API enables you to transmit log data into Loggly, a cloud-based log management and analytics service. With this integration, you can automate the aggregation of logs from various sources, analyze them in real-time, and monitor your applications and systems effectively. By leveraging this API on Pipedream, you can create automated workflows that streamline the process of log collection and correlation, set up alerts based on log patterns, and dynamically respond to system events.

Connect Loggly (Send Data)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    loggly_send_data: {
      type: "app",
      app: "loggly_send_data",
    }
  },
  async run({steps, $}) {
    const data = {
      "hello": `world`,
    }
    return await axios($, {
      method: "post",
      url: `https://logs-01.loggly.com/inputs/${this.loggly_send_data.$auth.token}/tag/pipedream-test`,
      params: {
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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
    };
    const { rows } = await this.mysql.executeQuery(queryObj);
    return rows;
  },
});