feat(jobs): improve MLOps example #82
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redanrd
commented
May 7, 2024
| @@ -12,7 +12,7 @@ resource "scaleway_container" "inference" { | |||
| cpu_limit = 2000 | |||
| memory_limit = 2048 | |||
| min_scale = 1 | |||
| max_scale = 5 | |||
| max_scale = 1 | |||
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We need to preserve the container state as we load the model in memory. Having many instances would possibly lead to ones with no model loaded in memory so they would fail when requested for inference.
Shillaker
requested changes
May 10, 2024
Shillaker
approved these changes
May 16, 2024
cyclimse
approved these changes
May 24, 2024
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Summary
Improve MLOps example:
Make MLOps pipeline automatic after first deployment using CRON schedules to: fetch data from source then train model regularly, and deploy the latest model version from model registry. The schema is useful when the data provided by source grows, which would in general improve inference server performance.
Code formatting.
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