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Loggly (Send Data)

Loggly integration for sending data (separate credentials are required to read data)

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PostgreSQL

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

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

Popular Ways to Connect Loggly (Send Data) with PostgreSQL

Send Event with Loggly (Send Data) API on New Column from PostgreSQL API
PostgreSQL + Loggly (Send Data)
 
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Send Event with Loggly (Send Data) API on New or Updated Row from PostgreSQL API
PostgreSQL + Loggly (Send Data)
 
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Send Event with Loggly (Send Data) API on New Row Custom Query from PostgreSQL API
PostgreSQL + Loggly (Send Data)
 
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Send Event with Loggly (Send Data) API on New Row from PostgreSQL API
PostgreSQL + Loggly (Send Data)
 
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Send Event with Loggly (Send Data) API on New Table from PostgreSQL API
PostgreSQL + Loggly (Send Data)
 
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Popular Loggly (Send Data) and PostgreSQL Triggers

New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
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New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See the documentation

 
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New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
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New Table from the PostgreSQL API

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

 
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Popular Loggly (Send Data) and PostgreSQL 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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Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Find Row with the PostgreSQL API

Finds a row in a table via a lookup column. See the documentation

 
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Find Row With Custom Query with the PostgreSQL API

Finds a row in a table via a custom 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)

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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 PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

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import postgresql from "@pipedream/postgresql"

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

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