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s4l-lite uses a shared model (i.e. 3/6 s4l-lite run on a single machine)
s4l uses an exclusive model (i.e. 1 s4l on a single machine)
cold/fresh machine: is started on demand, its boot disk is EBS-based and initial access is very slow as all the data is lazily pulled from AWS-backend, GPU machines typically provide a instantly fast SSD drive as well, but it is always empty.
images pre-pulling: specific docker images are pulled from a registry at machine initial start
hot/active machine: is a machine where all the necessary images were already pulled once and has running s4l-lite or s4l services
warm/buffer machine: is a started machine where image pre-pulling was achieved to improve initial starting time of s4l-lite or s4l services
This is a placeholder for https://z43.fogbugz.com/f/cases/193514/Slow-startup-times-of-sim4life-io
Tasks
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