John Mulhausen
63 lines
2.1 KiB
Markdown
63 lines
2.1 KiB
Markdown
---
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layout: docwithnav
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title: "kube-scheduler"
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---
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<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
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## kube-scheduler
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### Synopsis
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The Kubernetes scheduler is a policy-rich, topology-aware,
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workload-specific function that significantly impacts availability, performance,
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and capacity. The scheduler needs to take into account individual and collective
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resource requirements, quality of service requirements, hardware/software/policy
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constraints, affinity and anti-affinity specifications, data locality, inter-workload
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interference, deadlines, and so on. Workload-specific requirements will be exposed
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through the API as necessary.
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```
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{% raw %}
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kube-scheduler
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{% endraw %}
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```
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### Options
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```
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{% raw %}
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--address=127.0.0.1: The IP address to serve on (set to 0.0.0.0 for all interfaces)
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--algorithm-provider="DefaultProvider": The scheduling algorithm provider to use, one of: DefaultProvider
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--bind-pods-burst=100: Number of bindings per second scheduler is allowed to make during bursts
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--bind-pods-qps=50: Number of bindings per second scheduler is allowed to continuously make
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--google-json-key="": The Google Cloud Platform Service Account JSON Key to use for authentication.
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--kubeconfig="": Path to kubeconfig file with authorization and master location information.
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--log-flush-frequency=5s: Maximum number of seconds between log flushes
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--master="": The address of the Kubernetes API server (overrides any value in kubeconfig)
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--policy-config-file="": File with scheduler policy configuration
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--port=10251: The port that the scheduler's http service runs on
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--profiling[=true]: Enable profiling via web interface host:port/debug/pprof/
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{% endraw %}
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```
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###### Auto generated by spf13/cobra at 2015-10-29 20:12:20.542446971 +0000 UTC
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