Queues View

🧮 Queue Overview (Type = Queue)

When Type = Queue is selected, the dashboard displays details about specific HPC queues — including capacity, configuration, and compute resource settings.

Queue Details Popup
Clicking View Details for a queue opens a detailed popup that includes multiple sections:

Account Details

Information about the queue’s associated HPC Cluster: - Provider: AWS
- Resource Type: ParallelCluster
- Account ID: account id
- Region: us-east-1
- Cluster Name: invcloud-test-pc3132
- Queue Name: medium
- Asset ID: 03829c3d88a93b65ea356539d256507d

Capacity Details

Displays available queue capacity: - CPUs: 5
- Memory (GB): 20

Queue Configuration

Shows configuration details for the queue environment:

• Subnet IDs: subnet-06ea1d4ec580c651f
• Security Group IDs: (none)
• Policies: arn:aws:iam::aws:policy/AmazonSSMManagedInstanceCore
• Script Location: s3://tachyon-demo-s3/pcluster/ComputeNode/computenode-wrapper.sh

Storage volume details for the queue:

• Type: gp3
• Size: 50 GB
• Encryption: False

Specifies storage bucket access configuration:

• Bucket: mybucket
• Write Access: False

Details of the compute resources used in this queue:

• Name: mediumt2medium
• Instance Type: t2.medium
• Min Instance Count: 0
• Max Instance Count: 5
• EFA Enabled: False
• Placement Group Enabled: False
• Simultaneous Multithreading: Disabled

Additional Details

Provides queue metadata and operational state:

• Status: Stopped
• Cluster Version: 3.13.2
• Created At: 07-Aug-2025 11:15 (IST)
• Last Modified At: –
• Tags:
• cluster_name : invcloud-test-pc3132
• Environment : Test
• aws:cloudformation:stack-name : invcloud-test-pc3132

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📈 Metrics View

Provides:

• Queue-level performance and job throughput
• Scaling patterns and compute utilization
• CPU/memory usage and cost efficiency

📈 Queue Dashboard Metrics

Queue Metrics view open when click on expand view near detail button. it will provide the entire resouse used under Queue like jobs, workstation, resources usages and so on.

🧾 Recent Jobs

Displays job IDs, names, users, and completion states (Completed, Failed, Cancelled).

💻 Workstation Status

Lists all workstations with current state, usage hours, and cost breakdown.

Jobs & Workstations Summary:

• Job status overview (success/failure)
• Execution trends and status distribution

Cost Overview:

• Budget vs Spend: This bar chart compares the allocated budget with the actual spend.
• Cost Breakup: Distribution of spend across jobs, workstations, and services.

Resource Metrics:

• CPU cores usage: Helpful for tracking total capacity vs actual usage.
• Concurrent CPU cores: Useful for analyzing parallel job load.
• Cumulative CPU hours: Indicates total resource engagement.
• Average CPU usage: Shows average core usage over time.
• Total Nodes: Indicates the number of nodes provisioned.
• Node Hours: Highlights node utilization efficiency.

These metrics help users analyze both performance and cost at a glance.

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Computational Resource Report

This documentation provides a daily overview of job execution statistics, cost allocations, CPU metrics, and node utilization. It's designed to help teams monitor performance and optimize resource consumption.

Table View:

• Consolidated reports for the user are listed in this table, aggregated by monthly, daily, or weekly intervals.

This dashboard helps users monitor their resource consumption and job history across queue in a visual format.

📌 Note:

• These metrics help evaluate queue utilization and identify under- or over-provisioned resources.