Ruxit collects and evaluates a tremendous amount of data related to your monitored environment. The data include many important metrics that span all the way across datacenters and all the way down to individual service- and application methods. The new Ruxit API enables your developers to pull real-time data directly from Ruxit.

Although we strive to offer the right metric chart for every case case you might encounter, and allow you to build customized dashboards, you may still face a requirement to integrate Ruxit data with, for example, your intranet status indicators or third-party reporting tools. So that we can offer you convenient and flexible access to all collected data, Ruxit now offers an HTTP-based API. Using token-authorized HTTP GET and POST requests, any client technology can now be used to read JSON-encoded time series data directly from Ruxit. All your developers need to do is create an access key and use the Ruxit HTTP service endpoints to query the demanded time series. Multiple API keys can be created for different purposes.

The following example shows how to use the Ruxit API to fetch the response time time series for an application.

Create an access key going to Settings > Integration > API as shown below:

Ruxit API access key

Use the generated key AIDsuFvnQwyZUe7j95Fur either as the HTTP parameter or as the HTTP authorization header to create your first API query. For details, have a look at the Ruxit API Documentation.

This example query requests the user action duration time of our sample EasyTravel application over the last hour. If you’d like to test this example in your own environment, replace the bold parts of the request (environment ID, API key and your application ID) with your own values.

The example API call returns a timeseries of data points representing the action duration time for the requested period of time. A part of the JSON result is shown in the following screenshot. The result also contains meta information for the data points such as the unit, aggregation, and time resolution for the returned values.


By writing some lines of JavaScript that use the Google charts library to visualize timeseries data, this JSON result can be rendered as shown below:

Action duration chart