{
    "_dashboard_memory_usage_mb": 514.90816,
    "_dashboard_test_success": true,
    "_peak_memory": 3.67,
    "_peak_process_memory": "PID\tMEM\tCOMMAND\n151\t1.76GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n1071\t0.94GiB\tpython distributed/test_many_actors.py\n266\t0.27GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dashboa\n425\t0.07GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/runti\n890\t0.07GiB\tray::JobSupervisor\n578\t0.07GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-\n423\t0.06GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/agen\n1131\t0.06GiB\tray::MemoryMonitorActor.run\n1220\t0.05GiB\tray::DashboardTester.run\n366\t0.04GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/log_m",
    "actors_per_second": 624.6840595950675,
    "num_actors": 10000,
    "perf_metrics": [
        {
            "perf_metric_name": "actors_per_second",
            "perf_metric_type": "THROUGHPUT",
            "perf_metric_value": 624.6840595950675
        },
        {
            "perf_metric_name": "dashboard_p50_latency_ms",
            "perf_metric_type": "LATENCY",
            "perf_metric_value": 248.64
        },
        {
            "perf_metric_name": "dashboard_p95_latency_ms",
            "perf_metric_type": "LATENCY",
            "perf_metric_value": 4168.37
        },
        {
            "perf_metric_name": "dashboard_p99_latency_ms",
            "perf_metric_type": "LATENCY",
            "perf_metric_value": 4168.37
        }
    ],
    "success": "1",
    "time": 16.008092164993286
}