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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.
1

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.
2

Filtering and searching

Use the Status filter or the search bar to quickly locate workloads by name or status.
3

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.
4

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).