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Ability to View Decommissioned Labs and Expired Labs
The ability to view decommissioned and expired labs provides visibility into labs that were previously inaccessible once expired or decommissioned. Decommissioned labs can now be tracked, but their configurations cannot be interacted with. Expired labs, however, allow reviewing configurations and extending expiration dates to provision instances again. This feature enhances lab management, offering better oversight and control of past labs. Labs can be filtered by their status—active, expired, or decommissioned—making it easy to view specific results based on the selected category.
Ability to show the deleted users in labs
This feature allows tracking and viewing deleted users in labs, ensuring better transparency and management of user activities. Even after users are removed, their records remain accessible, allowing visibility into details such as when the invitation was sent and the quota used by the user or the number of attempts utilized. Visibility is enhanced by allowing tracking of both active and deleted users, which helps maintain an organized user management system. This differentiation allows for better management of added users, unclaimed users, and claimed users.
Handle the Failed VM Status in the Dashboard
The dashboard includes a section for monitoring failed VM deployments, providing a count of instances that did not launch successfully. This feature offers visibility into the status of these deployments, enabling the investigation of issues through audit logs. By displaying the number of failed instances, the dashboard supports efficient resource management and ensures prompt attention to deployment problems.
Display VM Quota Consumption and Extend Quota for Template VMs
This feature allows for monitoring VM quota consumption for template VMs, providing insights into resource utilization. The option to adjust quotas for template VMs offers greater flexibility, ensuring lab environments can be expanded as needed to meet lab requirements and workloads. This proactive management approach helps maintain optimal performance and efficiency within the lab environment.