---
title: "Review and apply recommendations | Grafana Cloud documentation"
description: "Describes how to manage provided Adaptive Traces recommendations."
---

# Review and apply recommendations

Review and manage recommendations from the Adaptive Traces UI.

From the Overview page, you can review any new recommendations or check the **Recommendations History** feed.

New recommendations are automatically generated based on regular analysis of your tracing data, helping you fine-tune your trace sampling and ensuring you only capture what’s critical and worthy of your attention.

The **Recommendations History** feed helps you with the following:

- Understand which recommendations were applied and when, providing you with a record of changes made.
- Correlate applied recommendations with changes in data ingestion volume, costs, or debugging efficiency.
- Identify if a recently applied or dismissed recommendation is the cause of changes in your data.
- Assess whether applied recommendations lead to the outcomes you expect.

You can filter for **All, Applied, Dismissed, Stale**.

> Note
> 
> A stale recommendation is one that is outdated. For example, the recommendation engine runs, sees that you do not have a status code policy and creates a recommendation to create one. You do not apply it, but create one yourself. The recommendation engine runs again and sees that a status code policy exists and marks the unapplied recommendation as stale.
> 
> If you applied a recommendation, but later delete the policy that resulted from the recommendation, it still shows in the **Recommendation History** with status **Applied**. It is also re-generated as a new recommendation.

## Apply recommendations

Apply individual or all recommendations from either the **Overview** or **Policies** page.