Integrate the Sentry API with the MongoDB API

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

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Popular Ways to Connect Sentry with MongoDB#

Create New Document with MongoDB API on New Issue Event (Instant) from Sentry API

Sentry + MongoDB

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Delete a Document with MongoDB API on New Issue Event (Instant) from Sentry API

Sentry + MongoDB

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Execute Aggregation with MongoDB API on New Issue Event (Instant) from Sentry API

Sentry + MongoDB

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Find Document by Id with MongoDB API on New Issue Event (Instant) from Sentry API

Sentry + MongoDB

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Find Document with MongoDB API on New Issue Event (Instant) from Sentry API

Sentry + MongoDB

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Popular Sentry and MongoDB Triggers#

New Issue Event (Instant) from the Sentry API

Emit new events for issues that have been created or updated.

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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 Sentry and MongoDB Actions#

List Issue Events with the Sentry API

Return a list of events bound to an issue. See the docs here

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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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List Project Events. with the Sentry API

Return a list of events bound to a project. 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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List Project Issues. with the Sentry API

Return a list of issues bound to a project. See the docs here

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Overview of Sentry#

The Sentry API on Pipedream allows you to automate error tracking and responses in your applications. Sentry's robust issue tracking and release monitoring align with Pipedream's ability to craft custom workflows, enabling developers to connect error alerts to a plethora of other services for notifications, analysis, task management, and more. With Sentry's detailed diagnostic data, these workflows can help reduce downtime by triggering quick actions upon issue detection.

Connect Sentry#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sentry: {
      type: "app",
      app: "sentry",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://sentry.io/api/0/`,
      headers: {
        Authorization: `Bearer ${this.sentry.$auth.auth_token}`,
      },
    })
  },
})

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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