Integrate the Datadog API with the MongoDB API

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

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Popular Ways to Connect Datadog with MongoDB#

Create New Document with MongoDB API on New Monitor Event (Instant) from Datadog API

Datadog + MongoDB

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Delete a Document with MongoDB API on New Monitor Event (Instant) from Datadog API

Datadog + MongoDB

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Execute Aggregation with MongoDB API on New Monitor Event (Instant) from Datadog API

Datadog + MongoDB

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Find Document by Id with MongoDB API on New Monitor Event (Instant) from Datadog API

Datadog + MongoDB

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Find Document with MongoDB API on New Monitor Event (Instant) from Datadog API

Datadog + MongoDB

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Popular Datadog and MongoDB Triggers#

New Monitor Event (Instant) from the Datadog API

Emit new events captured by a Datadog monitor

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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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Popular Datadog and MongoDB Actions#

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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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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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 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 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#

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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