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benchmark

benchmarking for kubebrowse

uv pip install asyncio aiohttp websockets matplotlib pandas numpy requests pyyaml webdriver-manager selenium

TEST

python kubebrowse_benchmark.py \
    --namespace browser-sandbox \
    --max-users 50 \
    --test-duration 3600 \
    --save-interval 30 \
    --target-url http://4.4.4.4/ \
    --browser-init-wait 20 \
    --sessions-api-url "https://172.18.120.152:30006/sessions/" \
    --sessions-api-insecure

TEST 2

python kubebrowse_benchmark.py \
    --kubeconfig ./config \
    --namespace browser-sandbox \
    --max-users 500 \
    --test-duration 3600 \
    --save-interval 30 \
    --target-url http://192.168.122.202/ \
    --browser-init-wait 40 \
    --sessions-api-url "http://192.168.122.203/sessions/" \
    --sessions-api-insecure \
    --session-start-interval 10 \
    --test-duration 600
    --headless

TEST 2

uv run kubebrowse_benchmark.py \
    --kubeconfig ./config \
    --namespace browser-sandbox \
    --max-users 500 \
    --test-duration 3600 \
    --save-interval 30 \
    --target-url http://192.168.122.2/ \
    --browser-init-wait 40 \
    --sessions-api-url "https://192.168.122.1/sessions/" \
    --session-start-interval 10 \
    --test-duration 600 \
    --headless   2>&1 | tee -a output.log

Visualization Instructions:

To generate plots from this snapshot, use the standalone plotting script:

  1. Basic dashboard: python3 /home/sanjay7178/benchmark/plot_metrics_snapshot.py metrics_snapshot.json

  2. All visualizations: python3 /home/sanjay7178/benchmark/plot_metrics_snapshot.py metrics_snapshot.json --all

  3. Individual detailed plots: python3 /home/sanjay7178/benchmark/plot_metrics_snapshot.py metrics_snapshot.json --individual-plots

  4. Interactive dashboard: python3 /home/sanjay7178/benchmark/plot_metrics_snapshot.py metrics_snapshot.json --interactive

  5. Summary report: python3 /home/sanjay7178/benchmark/plot_metrics_snapshot.py metrics_snapshot.json --summary-report

  6. Custom output directory: python3 /home/sanjay7178/benchmark/plot_metrics_snapshot.py metrics_snapshot.json --output-dir /path/to/output --all