# Nimbus Hub

The Nimbus Hub (or Hub for short) acts as your command center for all optimizations.

{% embed url="<https://www.loom.com/share/938474913fd84c7fa4261d893d9cf652?sid=5915a1ae-b683-465c-8980-a777e0cd0fc6>" %}

Nimbus automatically identifies high traffic log patterns and displays them on the console as a table.

{% hint style="info" %}
It can take up to 24 hours for initial results to show up. Grab a coffee and go on with your day - we'll send you an email when findings are ready!
{% endhint %}

![Console Table](https://ik.imagekit.io/fpjzhqpv1/Cursor_and_Nimbus_Log_Optimization_Demo\(1\)_HDMZsUIk4.png?updatedAt=1706560044072)

## Table Properties

* Name: Autogenerated name for the traffic pattern
* Volume: The total number of logs analyzed for the given pattern (for an 1h period)
* Percentage: The percentage of logs this pattern represents (for an 1h period) compared to all logs
* Updated: When this log pattern was last updated
* Optimized: Whether this log pattern is already optimized

## Applying a Transform

To apply a transform, click on `Details` link on the log pattern you wish to update.

![Apply a transform](https://ik.imagekit.io/fpjzhqpv1/Cursor_and_Nimbus_Log_Optimization_Demo_5BYTKykGC.png?updatedAt=1706560793215)

This will open up the transform modal with two panels.

The left panel shows the transform that Nimbus generated for the given pattern. The transform is constructed using the [Nimbus Transformation Language](https://docs.nimbus.dev/overview/ntl), a domain specific language optimized for expressing telemetry optimizations.

The right panel shows a sample of raw logs that the transform would act over.

![Transform Modal](https://ik.imagekit.io/fpjzhqpv1/Cursor_and_Nimbus_Log_Optimization_Demo-2_STPNZebfi.png?updatedAt=1706560793167)

To apply a transform, click on the `Apply` button in the left panel. This will immediately deploy the transform.

## Transformation Previews

Nimbus lets you preview of how logs will be shaped post transformation. `Raw Preview` shows the log in pure JSON whereas `Rich Preview` shows you how those logs would show up in Datadog.

{% tabs %}
{% tab title="Raw Preview" %}
![Raw Preview](https://ik.imagekit.io/fpjzhqpv1/Cursor_and_Nimbus_Log_Optimization_Demo\(2\)_SX-e3KzNh.png?updatedAt=1706560176589)
{% endtab %}

{% tab title="Rich Preview" %}
![Rich Preview](https://ik.imagekit.io/fpjzhqpv1/Nimbus_Log_Optimization_Demo_Zj4MLXt6u.png?updatedAt=1706560213005)
{% endtab %}
{% endtabs %}