Cluster Utilization Calculator

Step-by-Step Guide

1. 1Select a Resource Type: Choose CPU, Memory, Storage, GPU, Network, or Custom, and pick a matching unit.
2. 2Enter Total and Used Capacity: Type the total cluster capacity and the amount currently used.
3. 3Add Reserved Resources: Optionally include capacity reserved but not yet actively used.
4. 4Set Alert Thresholds: Adjust the Warning and Critical utilization percentages to match your team's policy.
5. 5Review and Export: Check the gauge, status badge, and headroom, then copy, download, or share your results.

Key Features

• ✓Live calculation with a 150ms debounced update
• ✓Animated circular utilization gauge
• ✓CPU, Memory, Storage, GPU, Network, and Custom resource types
• ✓Adjustable Warning and Critical thresholds
• ✓Color-coded Healthy / Warning / Critical status badge
• ✓Multi-resource dashboard for tracking several resources at once
• ✓Headroom and overcommit ratio calculations
• ✓Sample presets for common cluster scenarios
• ✓Copy result, full report, and shareable link independently
• ✓Download CSV, JSON, and print-friendly report
• ✓Shareable calculation URL using query parameters
• ✓Calculation history — save and reload past results
• ✓Auto-saves your last session and restores it on return
• ✓All processing runs locally — no data leaves your browser

Pro Tips

• 💡Always include Reserved capacity if your scheduler pre-allocates resources — it gives a far more accurate Available figure than Remaining alone.
• 💡Set your Warning threshold with enough buffer (commonly 70–80%) to have time to react before hitting Critical.
• 💡Use the multi-resource dashboard to catch resource imbalance — a cluster can be CPU-healthy but storage-critical at the same time.
• 💡Track overcommit ratio separately from utilization — a ratio above 1.0 means your scheduler has promised more than physically exists.
• 💡Revisit your thresholds periodically as workloads change; a threshold that made sense at launch may be too conservative or too aggressive later.

Common Mistakes to Avoid

• ✕Don't confuse Remaining with Available — Remaining ignores reservations and can overstate what you can actually allocate.
• ✕Don't set Critical below Warning — thresholds should always increase in severity as utilization rises.
• ✕Don't ignore headroom trends over time — a single snapshot doesn't show whether utilization is climbing toward a limit.
• ✕Don't treat 100% utilization as automatically bad — some batch workloads intentionally run clusters near full capacity for cost efficiency.
• ✕Don't mix inconsistent units (e.g., entering Total in TB but Used in GB) — convert everything to the same unit before calculating.