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Across MAS we set low requests based on what the minimum is needed for low/minimal usage, and set limit based on a reasonable peak usage. This allows customers to manage the level of resource contention they are happy with in a cluster by balancing the % of the limit that can be provisioned at one time across all workloads.
If customers with to run with a guaranteed QoS, we do support that using pod templates, but it's significantly more expensive.
The numbers stated don't match what is in MAS today. The actual values are:
cpu: request 100m / limit 1
mem: request 64mi / limit 256mi
And that is only for the lifetime of the job. While it may well result in the job being scheduled on a node with less than 1cpu available, but unless there's something odd in the cluster, the scheduler would be unlikely to be routing to such a worker unless all workers were similarly overbooked.
The reason for the high limit is that in some cases customer truststores can be quite large, and we don't want the OOTB config to be an issue.
The limits can be adjusted permanently by reconfiguring the Truststore subscription, e.g if customer knows they only have smaller truststores and wanted to bring the limits closer to the requests:
We don't currently have equivalent capability to manage the request value.