2.4 KiB
% KUBERNETES(1) kubernetes User Manuals % Scott Collier % October 2014
NAME
kube-scheduler - Schedules containers on hosts.
SYNOPSIS
kube-scheduler [OPTIONS]
DESCRIPTION
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.
The kube-scheduler can take several options.
OPTIONS
--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
--alsologtostderr=false log to standard error as well as files
--kubeconfig="" Path to kubeconfig file with authorization and master location information.
--log_backtrace_at=:0 when logging hits line file:N, emit a stack trace
--log_dir= If non-empty, write log files in this directory
--log_flush_frequency=5s Maximum number of seconds between log flushes
--logtostderr=true log to standard error instead of files
--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/
--stderrthreshold=2 logs at or above this threshold go to stderr
--v=0 log level for V logs
--version=false Print version information and quit
--vmodule= comma-separated list of pattern=N settings for file-filtered logging
EXAMPLES
/usr/bin/kube-scheduler --logtostderr=true --v=0 --master=127.0.0.1:8080
HISTORY
October 2014, Originally compiled by Scott Collier (scollier@redhat.com) based on the kubernetes source material and internal work.