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Writer's pictureZero Incident Framework

Synthetic Monitoring: Explained



Synthetic monitoring is a way to monitor your system without having to rely on the system itself. A synthetic process will emulate the behaviour of an application by executing its code and monitoring its output.

This type of monitoring can be used in order to detect bugs, measure performance, or identify security vulnerabilities. The main advantage of this type of monitoring is that it provides an accurate view into how a process behaves when it interacts with other processes or devices, which can’t be done with traditional monitoring methods.


How does it work?

  1. You can choose to monitor the path that a user follows to buy a product via your business application.

  2. Once the testing path is decided, IT experts must decide the performance measures that are to be tracked, along with checkpoints

  3. A synthetic user (bot) is created to go through the checkpoints. At each checkpoint, the bot will report the responses to the monitoring system.

  4. Checks for the same path are carried out at frequent intervals under synthetic monitoring to discover issues.


Why synthetic monitoring is important in 2022?


The future of monitoring is not just about tracking user behaviour. It's about knowing what they want and when they want it, and then making sure you're constantly delivering it to them.

This is the main reason why we should be investing in real time user monitoring tools in 2022. They can help us keep track of the changing needs and wants of our customers so that we can deliver the best experience for them.

Synthetic monitoring is a great tool to have when you are trying to make decisions about what your users are doing. It can help you get an idea of what your users want, how they are using the product, and what is working and not working.

This type of monitoring can be used in many different ways. For example, it can be used to find out if people are having trouble with a certain feature on the site or if they are simply not interested in it at all. This type of information is invaluable when it comes to making decisions about where the company should put its focus and resources.


Why AIOps for synthetic monitoring?

  1. It can ensure end-to-end synthetic monitoring with minimal manual efforts.

  2. Can improve the overall observability of your IT infrastructure with AIOps digital transformation solutions.

  3. Quickly discover the source of an incident via an AI automated root cause analysis solution.

What are the types of synthetic monitoring?

  1. Website monitoring

  2. API monitoring

  3. Transaction monitoring

  4. Browser monitoring

  5. HTTP monitoring

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