Loggly (Send Data)

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

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

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

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Send Event with Loggly (Send Data) API on New Collection from MongoDB API
MongoDB + Loggly (Send Data)
 
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Send Event with Loggly (Send Data) API on New Database from MongoDB API
MongoDB + Loggly (Send Data)
 
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Send Event with Loggly (Send Data) API on New Document from MongoDB API
MongoDB + Loggly (Send Data)
 
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Send Event with Loggly (Send Data) API on New Field in Document from MongoDB API
MongoDB + Loggly (Send Data)
 
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New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

 
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New Database from the MongoDB API

Emit new an event when a new database is added

 
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New Document from the MongoDB API

Emit new an event when a new document is added to a collection

 
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New Field in Document from the MongoDB API

Emit new an event when a new field is added to a document

 
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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 New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

 
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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

 
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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

 
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Find Document with the MongoDB API

Finds a document by a query filter. 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 MongoDB

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Connect MongoDB

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import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})

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