# Insights

groundcover insights give you a clear snapshot of notable events in your data. Currently, the platform supports **Error Anomalies**, with more insight types on the way.

<figure><img src="/files/zRCMwvKnNQqYB7vn04SM" alt=""><figcaption><p>Logs Insights</p></figcaption></figure>

#### Error Anomalies

Error Anomalies instantly highlight workloads, containers, or environments experiencing unusual spikes in **Error or Critical logs**, as well as **Traces marked with an error status**. These anomalies are detected using statistical algorithms, continuously refined through user feedback for accuracy.

Each insight surfaces trends based on the entity’s error signals (e.g., workload, container, etc.):

On **Logs**, anomalies are based on logs filtered by `level:error` or `level:critical`, and grouped by:

* `workload`
* `container`
* `namespace`
* `environment`
* `cluster`

On **Traces**, anomalies are based on traces filtered by `status:error`, and grouped by a more granular set of dimensions:

* `protocol_type`
* `return_code`
* `role` (client/server)
* `workload`
* `container`
* `namespace`
* `environment`
* `cluster`


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