Revolutionize Monitoring Cloud’s Synthetic Monitoring Today

Cloud Monitoring‘s Synthetic Monitoring is Now Widely Available

Gaining the confidence of users depends on having a dependable system and a flawless end-user interface. Any interruption or deterioration in the user experience may undermine confidence, endangering the good name and financial health of a company. Therefore, a key component of a successful business strategy is the capacity to proactively evaluate the quality of the end user experience provided by apps.

They unveiled synthetic monitoring in July 2023, a new proactive monitoring feature that imitates user interactions with an application or service using automated Node.js scripts. This enables you to periodically evaluate the functionality, consistency, and performance of your web apps, APIs, and important business processes from the viewpoint of an actual user.

They are pleased to share that synthetic monitoring is now widely available. Furthermore, we are adding three new features to synthetic monitoring with this launch:

• Support for Terraform
• Combination of Cloud Logging and Cloud Trace
• The Mocha test framework’s UI template

How is artificial monitoring carried out?

Automated test scripts are run against an application endpoint from global Google Cloud data centers to provide synthetic monitoring. Critical user journeys inside an application, including login onto a website, looking for a product, or adding an item to a cart, are simulated by the test scripts. Setting up a synthetic monitor involves creating a Google Cloud function that uses an open-source framework supplied and maintained by Cloud Monitoring to run Node.js code.

The scripts’ output is then gathered and examined to assess the performance, consistency, and availability of the application. Alerts may be set up to inform the relevant team if any issues are found, allowing them to be corrected before they affect your end customers.

constructing a fresh artificial monitor

The synthetic monitoring service offered by Google Cloud is quick and simple to set up. You may select from a number of pre-built scripts or write your own to build synthetic monitors for any URL or API endpoint.

Go to Monitoring > Synthetic Monitoring and choose “+ Create Synthetic Monitor”> Custom synthetic monitor to get started. You may choose the synthetic monitor’s name, execution frequency, and other parameters.

The cloud function that the artificial monitor will be aimed at is then created. A fly-out that allows you to customize the cloud function is opened when you click “Create Function.” You may now give your function a name and control its advanced parameters, such whether or not it can access an internal VPC network. Additionally, example code for the function to run is shown to you.

Synthetic monitoring offered by Google Cloud is very scalable. A single account may be used to monitor hundreds of URLs or API endpoints. Its reliance on Google Cloud means that your artificial monitors will be precise and dependable as well.

This version has new features

1. Support for Terraform

Not only is GA coming soon, but we’re also going to support Terraform, an open-source infrastructure as code (IaC) platform that lets you use code to describe and provision your cloud infrastructure.

2. Combination with Cloud Logging and Cloud Trace

Additionally, you can now gather trace and log information for any outgoing HTTP requests that your artificial monitors send out. Trace and log data, which highlight the line of code that failed, the error kinds, and the error messages, may be utilized to rapidly discover performance problems and debug any faults in your online application.

3. The Mocha test framework’s UI template

The well-liked JavaScript test framework Mocha is renowned for its ease of use, adaptability, and extension. In addition to the current generic template, we are adding a Mocha-based UI template to the create flow to facilitate the creation of tests using the Mocha framework.