Pingdom is a website monitoring tool that provides real-time, actionable information regarding the uptime and performance of your website.
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).
It's easy to connect Pingdom + MongoDB without coding knowledge. Start creating your own business flow.
Triggers when a new alert occurs in Pingdom.
Triggers when a new check is added.
Triggers when a new contact is added.
Triggers when you add a new collection.
Triggers when you add a new database.
Triggers when you add a new document to a collection.
Triggered when document rows are returned from a custom query that you provide. Advanced Users Only
Triggers when you add a new field to a collection.
Create a new document in a collection of your choice.
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.
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.
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.
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.
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.
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.