Team Anodot is always busy working on new features and new capabilities for our users. Our most recent version upgrade rolled out yesterday and we’ve already received great feedback.
So what’s all the fuss?
We just closed the loop between your metrics, anomalies, alerts and dashboards! Almost every BI and visualization tool provides a dashboard…it’s a familiar and logical way to keep track of metrics that you’re interested in. Our newest version upgrade takes the dashboard concept to the next level.
By showing anomaly alerts directly in your dashboard tiles, we’re making it even easier to uncover and access business insights in real time. Not only will you receive traditional email/JSON/webhook alerts on anomalies in the data streams that are interesting to you, you’ll now also see these alerts in the context of the relevant dashboards.
So how does it work? You’ve created a dashboard with graphs and meters… now click the “settings icon” in the upper right corner of a tile to display the options. Clicking on “Create Alert” tells the system that you are interested in receiving alerts whenever any of the metrics in the tile are anomalous.
Once you’ve created the alert, a small bell outline icon will appear on the top left corner of the tile (see image below). From now on, if the alert bell is completely black, it means that anomalies occurred within the frame you’re looking at. This is in addition to the regular alert notification you would receive, but may have missed.
Anomalies Can Hide in Plain Sight!
The alert bell will appear even if the anomalies on the dashboard are not obvious to the human eye.
In this example, the alert notification icon clearly shows that anomalies occurred in the selected data, but from a quick glance at the dashboard, it is not possible to actually SEE the anomalies.
Drill Down to Investigate Root Cause
In order to investigate further, you can easily see the full list of alert notifications on the right hand side. Click each notification to drill down into the Anomap page, where you’ll find information about individual anomalies that were alerted on, along with correlated events for other metrics that may not have been displayed on the dashboard.
In the example below, we see that upon further investigation, the anomalies that were not obvious in the high level view are easy to understand when you look more closely at the individual alerts and correlations. In this example, we see a correlation between an increase in Payment API Failures which caused the Revenue metrics to decrease.
For full documentation, visit our Support entry where you’ll find detailed information about creating and editing alerts as well as viewing dashboard tile alert events.
Got ideas for new features you’d love to see? Drop us an email at email@example.com and let us know. We’d love to hear from you.