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As asked in https://github.com/developmentseed/aws-asdi/issues/18, when a pipeline is created, it can be integration tested locally via docker run with specific memory, cpu and storage constraints to determine initial resourcing and timeout baselines. These values can be included in the pipeline's config.yaml and used to dynamically set the granule processing Lambda's settings at pipeline deployment time.
The text was updated successfully, but these errors were encountered:
As asked in https://github.com/developmentseed/aws-asdi/issues/18, when a pipeline is created, it can be integration tested locally via
docker run
with specific memory, cpu and storage constraints to determine initial resourcing and timeout baselines. These values can be included in the pipeline'sconfig.yaml
and used to dynamically set the granule processing Lambda's settings at pipeline deployment time.The text was updated successfully, but these errors were encountered: