Integrate Pingdom with MongoDB

Appy Pie Connect allows you to automate multiple workflows between Pingdom and MongoDB

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About Pingdom

Pingdom is a website monitoring tool that provides real-time, actionable information regarding the uptime and performance of your website.

About MongoDB

MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).

Want to explore Pingdom + MongoDB quick connects for faster integration? Here’s our list of the best Pingdom + MongoDB quick connects.

Explore quick connects
Connect Pingdom + MongoDB in easier way

It's easy to connect Pingdom + MongoDB without coding knowledge. Start creating your own business flow.

  • Triggers
  • New Alert

    Triggers when a new alert occurs in Pingdom.

  • New Check

    Triggers when a new check is added.

  • New Contact

    Triggers when a new contact is added.

  • New Collection

    Triggers when you add a new collection.

  • New Database

    Triggers when you add a new database.

  • New Document

    Triggers when you add a new document to a collection.

  • New Document (Custom Query)

    Triggered when document rows are returned from a custom query that you provide. Advanced Users Only

  • New Field

    Triggers when you add a new field to a collection.

  • Actions
  • Create Document

    Create a new document in a collection of your choice.

How Pingdom & MongoDB Integrations Work

  1. Step 1: Choose Pingdom as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick MongoDB as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Pingdom to MongoDB.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Pingdom and MongoDB

Pingdom is a web-monitoring service that monitors uptime, downtime, and performance of websites. It was founded in 2005 by Daniel Berntsson and Ola Henfridsson in Gothenburg, Sweden. Pingdom’s target market is the website owner.

MongoDB is a NoSQL database that stores data as documents, not as rows and cpumns (like relational databases. MongoDB is used to store anything where the structure of the stored information doesn’t need to be predefined. It is available as an open source document database.

Integration of Pingdom and MongoDB allows the website owner to monitor his website and its performance easily. It also improves the reliability of Pingdom.

Integration of Pingdom and MongoDB

MongoDB can be integrated with Pingdom to send notifications when a website goes down. Monitor your website on Pingdom using MongoDB. This way, you will be alerted when your website is down.

You can even integrate MongoDB with Pingdom to get notifications when your website is returning after going down. This way, you will be notified when your website comes back online after being down.

Using MongoDB with Pingdom gives more flexibility than using a relational database with Pingdom. By using MongoDB with Pingdom, you can create complex queries for your website monitoring needs. You can even create custom alert rules based on the data from the MongoDB database in Pingdom - like setting up alerts for specific URLs or any other criteria that you want to monitor.

Benefits of Integration of Pingdom and MongoDB

  • Scalability
  • MongoDB is highly scalable because it stores data in documents instead of rows and cpumns like relational databases do. With MongoDB, use the same schema for all of your data cplections which makes it easier to scale. MongoDB clusters are capable of scaling horizontally and vertically. MongoDB uses replication to keep multiple copies of data on different machines at all times. Thus, if a single machine fails, the others can still serve requests from users.

  • Speed
  • MongoDB can handle write operations fast because it uses memory mapped files for storing data. All writes go directly into memory mapped files so writes happen fast. This is why there is no need to wait for disk I/O operations in order to save data.

  • Low maintenance cost
  • In order to maintain a relational database, you need a lot of expertise in software development to maintain the database. On the other hand, you don’t need any development skills to maintain a NoSQL database like MongoDB.

  • Works well with large datasets
  • MongoDB can handle large datasets because it can store data in BSON format. BSON format stores binary data, which has no limits on data size like JSON does. With JSON, it is difficult to handle huge amounts of data because it limits the size of strings in JavaScript code which can cause problems if the data is too large. With BSON, you don’t have to worry about this problem since BSON doesn’t have any limits on string sizes.

  • Provides high availability
  • MongoDB provides high availability by keeping multiple copies of data on different machines all the time as mentioned above in ‘Scalability’ section. If one machine goes down, the other machine(s. can serve requests from users thus improving the reliability of MongoDB. In addition, if one server goes down, the other machines can take over immediately without any downtime.

    The process to integrate Pingdom and MongoDB may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.

    Page reviewed by: Abhinav Girdhar  | Last Updated on November 09,2022 06:11 pm