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@ -76,7 +76,7 @@ then paging can slow down performance.
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You can place bounds on memory use for workloads using the kubelet
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parameters `--kubelet-reserve` and/or `--system-reserve`; these account
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for memory usage on the node (outside of containers), and reduce
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[NodeAllocatable](/docs/tasks/administer-cluster/reserve-compute-resources/#node-allocatable)).
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[NodeAllocatable](/docs/tasks/administer-cluster/reserve-compute-resources/#node-allocatable).
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As you deploy workloads, set resource limits on containers. This also subtracts from
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`NodeAllocatable` and prevents the scheduler from adding more pods once a node is full.
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