---
layout: docwithnav
title: "kube-scheduler"
---
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## kube-scheduler



### Synopsis


The Kubernetes scheduler is a policy-rich, topology-aware,
workload-specific function that significantly impacts availability, performance,
and capacity. The scheduler needs to take into account individual and collective
resource requirements, quality of service requirements, hardware/software/policy
constraints, affinity and anti-affinity specifications, data locality, inter-workload
interference, deadlines, and so on. Workload-specific requirements will be exposed
through the API as necessary.

```
{% raw %}
kube-scheduler
{% endraw %}
```

### Options

```
{% raw %}
      --address=127.0.0.1: The IP address to serve on (set to 0.0.0.0 for all interfaces)
      --algorithm-provider="DefaultProvider": The scheduling algorithm provider to use, one of: DefaultProvider
      --bind-pods-burst=100: Number of bindings per second scheduler is allowed to make during bursts
      --bind-pods-qps=50: Number of bindings per second scheduler is allowed to continuously make
      --google-json-key="": The Google Cloud Platform Service Account JSON Key to use for authentication.
      --kubeconfig="": Path to kubeconfig file with authorization and master location information.
      --log-flush-frequency=5s: Maximum number of seconds between log flushes
      --master="": The address of the Kubernetes API server (overrides any value in kubeconfig)
      --policy-config-file="": File with scheduler policy configuration
      --port=10251: The port that the scheduler's http service runs on
      --profiling[=true]: Enable profiling via web interface host:port/debug/pprof/
{% endraw %}
```

###### Auto generated by spf13/cobra at 2015-10-29 20:12:20.542446971 +0000 UTC




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