Dashboard View

The Dashboard provides a real-time overview of your SLURM cluster with comprehensive metrics, health indicators, and quick navigation.

Dashboard showing cluster metrics, job distribution, and node status

Overview

The Dashboard is the default view in s9s, displaying six information panels organized in a responsive layout:

• Cluster Overview - System information and health status
• Jobs Summary - Job queue and state distribution
• Nodes Summary - Node availability and resource usage
• Partition Status - Top partitions by size
• Alerts & Issues - System health warnings
• Performance Trends - Historical throughput and efficiency

Display Panels

Cluster Overview (Top Left)

Displays essential cluster information:

• Cluster name, version, and endpoint
• Overall health status (EXCELLENT/GOOD/FAIR/POOR/CRITICAL)
• CPU and Memory usage percentages
• Visual utilization bars

Health scoring is calculated from:

• Down nodes (2 points per %)
• Failed jobs (1 point per %)
• High CPU/Memory utilization (up to 10 points each for >95%)

Jobs Summary (Top Center)

Shows current job queue status:

• Total job count
• Job state breakdown:
  • Running - Currently executing jobs
  • Pending - Queued jobs waiting for resources
  • Completed - Successfully finished jobs
  • Failed - Jobs that ended with errors
  • Canceled - User-canceled jobs
• Job state distribution visualization
• Average wait time for pending jobs

Nodes Summary (Top Right)

Provides node availability metrics:

• Total node count
• Node state counts:
  • Idle - Available for work
  • Allocated - Fully assigned
  • Mixed - Partially allocated
  • Down - Unavailable
  • Drain - Being drained
• CPU and Memory utilization percentages
• Node availability percentage

Partition Status (Middle Left)

Lists the top 8 partitions by size:

• Partition name
• Node count
• CPU count
• Current state
• Sorted by node count (largest first)

Alerts & Issues (Middle Right)

Displays system alerts when issues are detected:

• Down nodes warning
• High memory utilization (>90%)
• High CPU utilization (>90%)
• Long waiting jobs (>24 hours)
• Failed jobs (>10)

Shows "No issues detected" with green checkmark when system is healthy.

Performance Trends (Bottom)

Displays demo visualizations:

• Job throughput sparklines
• Resource efficiency percentages
• System health score with visual bar

Note: This panel shows demo data only, not actual cluster metrics.

Actions & Shortcuts

Navigation

J

N

P

Analytics

A

H

Data Management

R

Advanced Analytics Modal

Press

A

Resource Efficiency

• CPU efficiency percentage and assessment
• Memory efficiency percentage and assessment
• Overall resource efficiency rating

Job Analysis

• Job state distribution
• Average wait times by state
• Queue depth analysis

Node Analysis

• Node state distribution
• Node utilization metrics
• Resource availability trends

AI-Generated Recommendations

The system analyzes current metrics and provides:

• Performance optimization suggestions
• Resource allocation recommendations
• Potential issue warnings

Modal Shortcuts:

• Copy

  R

  - Refresh analytics
• Copy

  ESC

  - Close modal

Health Check Modal

Press

H

Overall Health Score

• Numeric score (0-100)
• Color-coded health rating
• Status summary

Component Health Checks

Nodes

• Down node count and percentage
• Draining node count
• Impact assessment

Job Queue

• Failed job count
• Long-running stuck jobs
• Queue health status

Resource Utilization

• CPU usage vs. critical threshold
• Memory usage vs. critical threshold
• Utilization warnings

Partitions

• Operational partition count
• Down partition count
• Partition availability

Each component shows:

• Status indicator (✓/⚠/✗)
• Detailed metrics
• Threshold information

Modal Shortcuts:

• Copy

  R

  - Refresh health check
• Copy

  ESC

  - Close modal

Auto-Refresh

The Dashboard automatically refreshes every 10 seconds (more frequent than other views) to provide real-time cluster monitoring.

Visual Design

The Dashboard uses a 6-panel color system for status indicators:

• Green - Healthy, good status
• Red - Critical issues, failures
• Yellow - Warnings, attention needed
• Orange - Moderate issues
• Cyan - Informational
• Teal - Headers and accents

Technical Details

Data Fetching

The Dashboard fetches data concurrently from multiple sources:

• Cluster information and version
• Current metrics (CPU/Memory)
• Job list with all states
• Node list with states
• Partition information

This parallel fetching ensures quick dashboard updates even on large clusters.

Layout Adaptation

The Dashboard uses flexible layout proportions to adapt to different terminal sizes:

• Minimum recommended width: 120 columns
• Minimum recommended height: 30 rows
• Panels resize proportionally
• Text truncates gracefully

Tips

• Use the Dashboard as your cluster monitoring hub
• Press
  Copy

  A

  regularly to review AI recommendations
• Check
  Copy

  H

  for detailed health diagnostics
• Navigate directly to specific views using
  Copy

  J

  ,
  Copy

  N

  , or
  Copy

  P

• The Dashboard refreshes automatically—no need to manually refresh unless you want immediate updates