> For the complete documentation index, see [llms.txt](https://docs.nuvens.cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nuvens.cloud/admin/admin-section/workspaces-ec2.md).

# WorkSpaces EC2

The **WorkSpaces EC2** tab provides a central view for managing EC2-backed WorkSpaces instances. You can see the instance name, state, AWS region, current user, IP address, compute type, and any configured power schedule.

From this page you can also **start**, **stop** and **reboot** EC2 WorkSpaces instances, as well as **synchronise**, **enable**, or **disable schedules** in bulk. The current schedule assigned to each instance is displayed, making it easy to identify when instances are configured to automatically start or stop.

<figure><img src="/files/Su77D2DykNLMCyeeBQRE" alt=""><figcaption></figcaption></figure>

Each instance can also be opened in more detail by clicking its name. This brings you to the **Instance Details** page. Here you can view real time CPU and Memory Utilisation, check the availability of root and user volumes, and access additional metadata such as account ID, availablity zone and public/private IPs. You can also view, add or remove tags as needed.

<figure><img src="/files/gKdz0sSTBgDvr4VtOsuz" alt=""><figcaption></figcaption></figure>

{% hint style="warning" %}
To view real-time metrics the [WSM Performance Monitor agent](https://install.nuvens.cloud/overview/workspaces-performance-monitor-agent) must be installed on the instance. Without the agent data will not be available in the Instance Details view.
{% endhint %}

You can also adjust scheduling by editing the **EC2 Schedule**, This allows you to define specific working hours (e.g., weekdays 09:00–19:00) to control when instances automatically start and stop. To configure a schedule for an EC2 WorkSpace, click the **Modify Schedule** icon in the **Actions** column for the required instance. Scheduled automation like this helps optimize performance and reduce unnecessary costs by ensuring EC2 instances only run when needed.

<figure><img src="/files/dTyWCSHKgNygP6DWuaXp" alt=""><figcaption></figcaption></figure>


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