CPU Utilization Analysis
Categorizes workloads by CPU usage bands, identifying both under-utilization and hotspots for optimization.
Overview
CPU Utilization Analysis automatically categorizes all workloads in your cluster by CPU usage patterns, identifying which deployments are over-provisioned (wasting resources), under-provisioned (causing performance issues), or optimally sized.
By analyzing actual CPU consumption vs. requested resources, Wave provides actionable insights on where to apply Smart Sizing, adjust HPA boundaries, or investigate performance bottlenecks—eliminating the manual dashboard analysis typically required.
Why Better Than Manual Dashboard Analysis
| Manual Dashboard Analysis | Wave CPU Analysis | |
|---|---|---|
| Analysis Method | SREs manually review Grafana/Prometheus dashboards for each service | Automatic categorization of all workloads by CPU usage bands |
| Categorization | No systematic categorization—relies on tribal knowledge | Identifies over-provisioned, under-provisioned, and optimal workloads |
| Actionability | Unclear what action to take after viewing metrics | Direct recommendations: apply Smart Sizing, adjust HPA, investigate |
Key Outcomes & Benefits
Complete view of all workload CPU utilization patterns
Identify over-provisioned workloads wasting CPU resources
Eliminate manual dashboard review and metric correlation
How It Works
1. CPU Metric Collection
WA Metrics Agent collects actual CPU usage and requested CPU for all workloads continuously.
2. Usage Band Analysis
Categorizes workloads into bands: <20% (waste), 20-60% (optimal), 60-80% (monitor), >80% (risk).
3. Actionable Insights
Provides specific recommendations for each category: apply Smart Sizing, adjust HPA, investigate hotspots.
4. Continuous Monitoring
Tracks workload movement between categories to identify changing patterns and new optimization opportunities.
Optimize CPU Usage Across Your Entire Cluster
Discover how CPU Utilization Analysis eliminates manual metric analysis.
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