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[Serve] Document Metric Infrastructure (#9389)
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@@ -239,6 +239,69 @@ That's it. Let's take a look at an example:
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.. literalinclude:: ../../../python/ray/serve/examples/doc/snippet_model_composition.py
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Monitoring
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==========
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Ray Serve exposes system metrics like number of requests through Python API
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``serve.stat`` and HTTP ``/-/metrics`` API. By default, it uses a custom
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structured format for easy parsing and debugging.
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Via python:
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.. code-block:: python
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serve.stat()
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"""
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[..., {
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"info": {
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"name": "num_http_requests",
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"route": "/-/routes",
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"type": "MetricType.COUNTER"
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},
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"value": 1
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},
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{
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"info": {
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"name": "num_http_requests",
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"route": "/echo",
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"type": "MetricType.COUNTER"
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},
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"value": 10
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}, ...]
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"""
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Via HTTP:
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.. code-block::
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curl http://localhost:8000/-/metrics
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# Returns the same output as above in JSON format.
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You can also access the result in `Prometheus <https://prometheus.io/>`_ format,
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by setting the ``metric_exporter`` option in :mod:`serve.init <ray.serve.init>`.
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.. code-block:: python
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from ray.serve.metric import PrometheusExporter
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serve.init(metric_exporter=PrometheusExporter)
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.. code-block::
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curl http://localhost:8000/-/metrics
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# HELP backend_request_counter_total Number of queries that have been processed in this replica
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# TYPE backend_request_counter_total counter
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backend_request_counter_total{backend="echo:v1"} 5.0
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backend_request_counter_total{backend="echo:v2"} 5.0
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...
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The metric exporter is extensible and you can customize it for your own metric
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infrastructure. We are gathering feedback and welcome contribution! Feel free
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to submit a github issue to chat with us in #serve channel in `community slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_.
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Here's an simple example of a dummy exporter that writes metrics to file:
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.. literalinclude:: ../../../python/ray/serve/examples/doc/snippet_metric_export.py
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.. _serve-faq:
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@@ -269,3 +332,4 @@ Once a endpoint is deleted, its tag can be reused.
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.. code-block:: python
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serve.delete_endpoint("simple_endpoint")
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