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Profiling

Measures Sentinel CPU and memory usage over time using kubectl top.

Prerequisites

  • Python 3
  • kubectl configured with access to the hyperfleet namespace
  • Sentinel deployed in the hyperfleet namespace

Collect a Profile

Samples kubectl top every 60 seconds and writes results to a timestamped CSV in results/.

Variable Default Description
CLUSTER_COUNT 100 Cluster count (used in the output filename)
DURATION_MIN 5 How long to record, in minutes 
CLUSTER_COUNT=1000 DURATION_MIN=10 sh ./test/profiling/profile.sh

Output: results/profile-<cluster_count>-clusters-<timestamp>.csv

TIME,POD,CPU,MEMORY
11:42:49,hyperfleet-sentinel-clusters-...-vmz62,54m,12Mi
11:43:49,hyperfleet-sentinel-clusters-...-vmz62,1m,12Mi

Analyze Results

Aggregates all CSVs in results/ into a single summary with min/max/avg CPU and memory per run.

python3 ./test/profiling/analyze.py

Output: results/summary.csv

cluster_count,timestamp,samples,cpu_low_m,cpu_high_m,cpu_avg_m,mem_low_mi,mem_high_mi,mem_avg_mi
100,2026-03-25 11:46:06,5,36,54,41,11,12,12
1000,2026-03-25 11:59:14,5,74,88,81,26,29,27
5000,2026-03-25 12:21:07,5,71,154,98,85,163,128