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

# Workloads Tab

> Monitor and manage your deployed workloads in the DCDeploy dashboard.

The **Workloads** tab gives you a centralized view of all the services and databases deployed within your selected environment. It provides real-time visibility into status, resources, and quick management actions.

<img height="250" src="https://mintcdn.com/dcdeploy-9454b28e/PPFDUcmrmPTTWKMC/docs/deploy/images/workload-tab.png?fit=max&auto=format&n=PPFDUcmrmPTTWKMC&q=85&s=0120227cef75be34b088f676082dc1af" data-path="docs/deploy/images/workload-tab.png" />

<Steps>
  <Step title="Workload overview">
    Each workload is listed with the following details:

    * **Name**: The unique name of your service or database.
    * **Status**: Current state of the workload (e.g., *Created*, *Accepted*, *Buiding*, *Started*, *Pulled*, *Pulling*, *Deployed*,*Failed*).
    * **Source**: The origin of the workload (e.g., *Docker image*, *GitHub public/private repo*).
    * **Machine Type**: The compute machine type allocated (e.g., *DCD-2*, *DCD-3*, etc..).
    * **Active Machines**: Number of running instances for the workload.
    * **Version**: The current deployed version.
    * **Last Modified By**: The user who last updated the workload and timestamp of modification.
  </Step>

  <Step title="Filtering and searching">
    Use the **Status filter** or the **search bar** to quickly locate workloads by name or status.
  </Step>

  <Step title="Quick actions">
    The **Quick Actions** dropdown (⚙️ **View**) provides shortcuts to manage each workload:

    * **View**: Inspect workload configuration and details.
    * **Logs**: View real-time application logs for debugging and monitoring.
    * **Metrics**: Analyze CPU, memory, and resource usage trends.
    * **Terminal**: Access an interactive shell inside the running container for direct troubleshooting.
  </Step>

  <Step title="Best practices">
    * Regularly check **Logs** to ensure application health.
    * Use **Metrics** to fine-tune scaling and machine types.
    * Keep workload versions updated to avoid stale deployments.
    * For debugging, use the **Terminal** cautiously (production workloads should use secrets and configs instead of manual fixes).
  </Step>
</Steps>