> ## Documentation Index
> Fetch the complete documentation index at: https://algolia.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Capacity alerts

> Receive capacity alerts for your dedicated infrastructure.

export const Index = () => <Tooltip tip="An Algolia index is a searchable dataset that consists of records and configuration settings. These settings define how the records are searched and ranked.">
    index
  </Tooltip>;

Capacity alerts notify you when your [cluster](/doc/guides/scaling/infrastructure/classic/servers-clusters) is under high load.

## Enable capacity alerts

<Note>
  **Pricing**

  Capacity alerts are available with the **dedicated infrastructure** add-on.
</Note>

To enable alerts:

1. On the left sidebar of the Algolia dashboard, select <Icon icon="settings" /> **Settings**.
2. Open the [**Infrastructure**](https://dashboard.algolia.com/account/infrastructure/) page and go to the **Alerts** tab.
3. **Enable email alerts**, and enter the email address where you want to receive capacity alerts.

Capacity alerts support only one email address.
If you want several people to receive notifications,
use a group email or alias (for example, `alerts@yourcompany.com`) that forwards messages to your team.

## What gets reported

Capacity alerts include metrics related to the load and status of your cluster and
help you track and respond to performance issues.

### Memory usage

If the combined size of all indices reaches the server's limits,
the service might get disrupted.

### Used search capacity spikes

You receive an alert when the used search capacity reaches peak usage for a short time.
For example, if there was a moment where a server used all its search capacity,
you might see 100%.
This doesn't mean the cluster used 100% of its capacity the whole time.

### Average response time

This is the average time it takes Algolia to process a query.
You can fix slow queries by optimizing query parameters or the <Index /> configuration.

### Oldest queued job

This shows how long indexing jobs have been waiting in the queue.
A large queue typically indicates high volumes of complex indexing operations.