SmartCharts Examples

Cronimon SmartCharts are embeddable, real-time updated flash charts to track metrics and KPIs.
This page shows different examples of how SmartCharts can be used.

SmartCharts can be arranged in a Cronimon dashboard to provide the big picture at a single glance.

Real-Time Server Monitoring

  • This chart shows Memory and CPU-Utilization of a Web-Server
  • Preselected View: Seconds, Average

Play with it:
Click on the H button to see resource usage over the last hours.
Switch the aggregation view from Average to Max to identify performance peaks!

Publish your statistics

  • This chart is published on a website to show how many users are online. Aggregation and time analytics functions have been deactivated.
  • Appearance and colors have been changed to match the embedding page's corporate identity.

Play with it:
Click on the left arrow to see older data.

Website Feature Usage

  • This chart shows the usage of different payment options on a website
  • Preselected View: Days, Average

Play with it:
The current view Average shows the average amount of money transferred, using a certain payment method.
Switch to Count to see the number of transactions or Sum to see the total amount of money transferred by payment method.
Click on Max or Min to see the highest or lowest amount transfered in a single transaction.

Conversion Tracking

  • This chart compares the number views of the registration page with number of actual registrations. You could easily add a third dataseries with the number of paying users, allowing you to track the whole conversion funnel.
  • Preselected View: Days, Count

Play with it: Mark any section of the chart to zoom in for a detailed view on a certain time period.

Batchjob Controling

  • We´re running a complex series of batchjobs at one of our websites. Cronimon shows us if our batchjobs ran correctly and how long it took them to complete.
  • Preselected View: Hours, Average

Play with it: Select Max to see how long the longest running batchjob instance needed to complete. Select Count to see the number of batchjobs that were started. This is a sanity check for us since all three batchjobs are required to start for one processing element.

Click on the color-dot in the legend to hide a data series.

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