55 lines
1.3 KiB
Python
55 lines
1.3 KiB
Python
# __serve_example_begin__
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import time
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from typing import Dict
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import psutil
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from ray import serve
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@serve.deployment(
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autoscaling_config={
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"min_replicas": 1,
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"max_replicas": 5,
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"metrics_interval_s": 0.1,
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"policy": {
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"policy_function": "autoscaling_policy:custom_metrics_autoscaling_policy"
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},
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},
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max_ongoing_requests=5,
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)
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class CustomMetricsDeployment:
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def __init__(self):
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self.process = psutil.Process()
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def __call__(self) -> str:
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# Simulate some work
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time.sleep(0.5)
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return "Hello, world!"
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def record_autoscaling_stats(self) -> Dict[str, float]:
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# Get CPU usage as a percentage
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cpu_usage = self.process.cpu_percent(interval=0.1)
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# Get memory usage as a percentage of system memory
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memory_info = self.process.memory_full_info()
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system_memory = psutil.virtual_memory().total
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memory_usage = (memory_info.uss / system_memory) * 100
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return {
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"cpu_usage": cpu_usage,
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"memory_usage": memory_usage,
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}
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# Create the app
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app = CustomMetricsDeployment.bind()
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# __serve_example_end__
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if __name__ == "__main__":
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import requests # noqa
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serve.run(app)
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for _ in range(10):
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resp = requests.get("http://localhost:8000/")
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assert resp.text == "Hello, world!"
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