{"action":"created","comment":{"url":"https://api.github.com/repos/kubernetes/kubernetes/pulls/comments/46185228","id":46185228,"diff_hunk":"@@ -0,0 +1,132 @@\n+<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->\n+\n+<!-- BEGIN STRIP_FOR_RELEASE -->\n+\n+<img src=\"http://kubernetes.io/img/warning.png\" alt=\"WARNING\"\n+     width=\"25\" height=\"25\">\n+<img src=\"http://kubernetes.io/img/warning.png\" alt=\"WARNING\"\n+     width=\"25\" height=\"25\">\n+<img src=\"http://kubernetes.io/img/warning.png\" alt=\"WARNING\"\n+     width=\"25\" height=\"25\">\n+<img src=\"http://kubernetes.io/img/warning.png\" alt=\"WARNING\"\n+     width=\"25\" height=\"25\">\n+<img src=\"http://kubernetes.io/img/warning.png\" alt=\"WARNING\"\n+     width=\"25\" height=\"25\">\n+\n+<h2>PLEASE NOTE: This document applies to the HEAD of the source tree</h2>\n+\n+If you are using a released version of Kubernetes, you should\n+refer to the docs that go with that version.\n+\n+<strong>\n+The latest release of this document can be found\n+[here](http://releases.k8s.io/release-1.1/docs/proposals/custom-metrics.md).\n+\n+Documentation for other releases can be found at\n+[releases.k8s.io](http://releases.k8s.io).\n+</strong>\n+--\n+\n+<!-- END STRIP_FOR_RELEASE -->\n+\n+<!-- END MUNGE: UNVERSIONED_WARNING -->\n+\n+# Custom Metrics in Kubernetes\n+\n+\n+## Preface\n+\n+Our aim is to create a mechanism in Kubernetes that will allow pods to expose custom system metrics, collect them, and make them accessible.\n+Custom metrics are needed by:\n+* horizontal pod autoscaler, for autoscaling the number of pods based on them;\n+* scheduler, for using them in a sophisticated scheduling algorithm.\n+\n+High level goals for our solution for version 1.2 are:\n+* easy to use (it should be easy to export custom metric from user's application),\n+* works for most application (it should be easy to configure monitoring for third-party applications),\n+* performance & scalability (the largest supported cluster should be able to handle ~5 custom metrics per pod with reporting latency ~30 seconds).\n+\n+For version 1.2, we are not going to address the following issues (non-goals):\n+* security of access to custom metrics,\n+* general monitoring of application health by a user\n+(out of the heapster scope, see [#665](https://github.com/kubernetes/heapster/issues/665)).\n+\n+## Design\n+\n+For the Kubernetes version 1.2, we plan to implement aggregation of pod custom metrics in Prometheus format by pull.\n+\n+Each pod, to expose custom metrics, will expose a set of Prometheus endpoints.\n+(For version 1.2, we assume that custom metrics are not private information and they are accessible by everyone.\n+In future, we may restrict it by making the endpoints accessible only by kubelet/cAdvisor).\n+CAdvisor will collect metrics from such endpoints of all pods on each node by pulling, and expose them to Heapster.\n+Heapster will:\n+* collect custom metrics from all CAdvisors in the cluster, together with pulling system metrics\n+(for version 1.2: we assume pooling period of ~30 seconds),\n+* store them in a metrics backend (influxDB, Prometheus, Hawkular, GCM, …),\n+* expose the latest snapshot of custom metrics for queries (by HPA/scheduler/…) using [model API](https://github.com/kubernetes/heapster/blob/master/docs/model.md).\n+\n+User can easily expose Prometheus metrics for her own application by using Prometheus [client](http://prometheus.io/docs/instrumenting/clientlibs/) library.\n+To monitor third-party applications, Prometheus [exporters](http://prometheus.io/docs/instrumenting/exporters/) run as side-cars containers may be used.\n+\n+For version 1.2, to prevent a huge number of metrics negatively affect the system performance,\n+the number of metrics that can be exposed by each pod will be limited to the configurable value (default: 5).\n+\n+In future versions (later than 1.2), we want to extend our solution by:\n+* accepting pod metrics exposed in different formats than Prometheus\n+(collecting of the different formats will need to be supported by cAdvisor),\n+* support push metrics by exposing push API on heapster (e.g. in StatsD format) or on a local node collector\n+(if heapster performance is insufficient),\n+* support metrics not associated with an individual pod.\n+\n+\n+## API\n+\n+For Kubernetes 1.2, defining pod Prometheus endpoints will be done using annotations.\n+Later, when we are sure that our API is correct and stable, we will make it a part of `PodSpec`.\n+\n+We will add a new optional pod annotation with the following key: `metrics.alpha.kubernetes.io/custom-endpoints`.\n+It will contain a string-value in JSON format.\n+The value will be a list of tuples defining ports, paths and protocol\n+(currently, we will support only Prometheus protocol, this will be also the default value if format is empty)\n+of metrics endpoints exposed by the pod, and names of metrics which should be taken\n+(if empty: we will take all exposed metrics) from the endpoint.\n+\n+The annotation will be interpreted by kubelet during pod creation.\n+It will not be possible to add/delete/edit it during the life time of a pod: such opeations will be 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