07
Demo 07 — Right-Sizing & Cost Impact Analysis
Python 3 (stdlib)
⏱ ~3 min
No cluster needed
Run this demo
View source on GitHub ↗
cd quarkus-demo-07-rightsizing
chmod +x demo.sh
./demo.shPure Python analysis — no containers, no cluster needed. 14 days of bundled Prometheus sample data from a 7-service cluster produces right-sizing recommendations and a quantified cost business case.
Run options
./demo.sh # bundled sample data
./demo.sh --live # try kubectl first
python3 analyze.py --cost-per-node-hour 0.768 # custom node cost
Sample results
| Service | CPU before → after | Memory before → after |
|---|---|---|
| payment-service (SB) | 2000m → 560m (−72%) | 4096 → 2304Mi (−44%) |
| fraud-detection (QK) | 1500m → 280m (−81%) | 2048 → 880Mi (−57%) |
| report-generator (SB) | 4000m → 3640m (−9%) | 8192 → 7744Mi (−5%) |
The
report-generatoris the honest exception — batch workload with real CPU and memory near limit. Not everything gets cut.
Business case output
4 nodes → 2 nodes · +67% pod density · $6,720/month saving · 17× ROI
OpenShift Cost Management
Console → Cost Management → Optimizations
API: GET /api/cost-management/v1/recommendations/openshift/