{
    "_dashboard_memory_usage_mb": 474.591232,
    "_dashboard_test_success": true,
    "_peak_memory": 14.33,
    "_peak_process_memory": "PID\tMEM\tCOMMAND\n216\t1.45GiB\t/home/ray/anaconda3/lib/python3.8/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n2111\t0.83GiB\tpython distributed/test_many_actors.py\n322\t0.29GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/dashboa\n59\t0.08GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n409\t0.07GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.8/site-packages/ray/_private/runti\n1939\t0.06GiB\tray::JobSupervisor\n52\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-\n2221\t0.06GiB\tray::MemoryMonitorActor.run\n407\t0.05GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/agen\n2299\t0.05GiB\tray::DashboardTester.run",
    "actors_per_second": 738.330085638146,
    "num_actors": 10000,
    "perf_metrics": [
        {
            "perf_metric_name": "actors_per_second",
            "perf_metric_type": "THROUGHPUT",
            "perf_metric_value": 738.330085638146
        },
        {
            "perf_metric_name": "dashboard_p50_latency_ms",
            "perf_metric_type": "LATENCY",
            "perf_metric_value": 35.742
        },
        {
            "perf_metric_name": "dashboard_p95_latency_ms",
            "perf_metric_type": "LATENCY",
            "perf_metric_value": 3539.897
        },
        {
            "perf_metric_name": "dashboard_p99_latency_ms",
            "perf_metric_type": "LATENCY",
            "perf_metric_value": 6204.525
        }
    ],
    "success": "1",
    "time": 13.544077634811401
}