Skip to content

Creating Logs Alerts

In a Logs App you can create an Alert Rule which will trigger notifications when a condition is met.

For example, let's say you used include/exclude filters to search for Elasticsearch slowlogs warnings.

Elasticsearch slowlogs warnings search

Clicking on the bell icon creates a new Alert Rule with the applied query and filters.

image alt text

Let's say we want to get notified if the number of slowlog warnings reaches 10 in any 10 minutes. Notice that Chart Preview shows the threshold line to help you visualize the threshold value in this context.

image alt text

Apart from a simple log count you can choose any numeric field in the Metrics section.

image alt text

The field next to threshold value allows you to easily multiply the threshold and thus has a default value of 1, which is neutral for multiplication.

image alt text

Although less applicable in the case of our slowlog warnings, Ignore regularly occurring spikes and dips tells the algorithm to ignore regular outliers that are not really anomalies, but are caused by regular spikes/dips.

If you wanted to avoid using a specific threshold value and instead get notified when the number of slowlog warnings deviates from a continuously computed baseline, you'd change Alert type to Anomaly alert.

image alt text

Notice that the chart changed to help you get a sense of what would constitute an anomalous value in your case (dots outside the gray confidence interval).

The confidence interval is an approximation of Sematext Cloud's anomaly detection algorithm, so don't expect each and every red dot on the chart to have triggered the alert.


Transformations are used to modify metrics using mathematical expressions and functions. For example, imagine you want to get alerted when both request.size and response.size together exceed some threshold or become anomalous. You would then transform them into a single dataseries by using an expression like this:

request.size + response.size

And then you would create an alert on this new data series.

Read about Transformations to learn more about transformations, functions, and expressions used to perform transformations.