Home
The Home page provides a global operational overview of the FCP platform. It centrally displays key alerts, resource statistics, job status, billing information, and real-time cluster and desktop load data. Through this page, you can quickly understand the overall health of the platform and current resource utilization.
Permissions
For related details, see the Permissions Guide.
Functional Modules
- Quick Navigation: Provides shortcuts to the most common operations. For example, you can jump directly to Desktop Management to view and manage all desktop resources.
- Alert Records: Monitors the platform in real time and displays the number of active alerts and triggered alerting policies, helping you quickly identify and track potential issues.
- Resource Overview: Uses numeric dashboard widgets to show the overall scale of the core infrastructure, including the total number of clusters, compute nodes, file systems, and system images.
- Job Statistics: Summarizes execution results for all compute jobs on the platform. A ring chart shows the number and proportion of completed, failed, and canceled jobs, while also clearly marking unfinished jobs such as queued and running jobs, helping you evaluate overall job execution efficiency.
- Resource Usage: Displays key cost and storage data, including accumulated charges for the current billing cycle, current usage and total capacity of the file storage system, and the number of generated backup records.
- Idle Node Statistics: Uses a bar chart to classify idle nodes and clearly compare the number of unused nodes under different billing models such as subscription, pay-as-you-go, and reserved-term billing, helping you quickly understand available compute capacity.
- Powered-Off Billable Node Statistics: Highlights nodes that are powered off but may still be within a billing cycle. It visually compares the number of nodes that are "In Use" and still billable with those that are "Unused" and not billed, supporting finer-grained cost management.
- Cluster Resource Utilization: Lists the real-time load of each compute partition and its cluster in table form. Key indicators include "running CPUs / total CPUs" and CPU and memory utilization, which are core references for evaluating cluster load and scheduling jobs.
- Desktop Resource Utilization: Displays real-time load information for desktop resource pools and monitors CPU and memory usage across desktop groups to ensure a smooth cloud desktop experience and proper resource allocation.
Value
Through the Home dashboard, you can:
- Understand system status quickly: Get the platform's core metrics in one place and form an immediate overall view of system health.
- Identify problems proactively: Use the alert center to detect and respond to abnormal conditions in time, before they escalate.
- Optimize resource scheduling: Make informed decisions and allocate new compute workloads more effectively based on real-time cluster and desktop load data, together with idle node statistics.
- Control cost and capacity: Clearly understand spending trends, resource usage, and available idle capacity to support operations decisions and cost optimization.