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Replacing pipeline/notebook containers to Batch/sageMaker in AWS module(Transition to AWS environment) #43

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swiri021 opened this issue Oct 1, 2021 · 7 comments · Fixed by #47, #49, #52, #74 or #77

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@swiri021
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swiri021 commented Oct 1, 2021

Currently, we are using docker instance to deploy notebook and it could be replaced with AWS sageMaker, possibly, pipeline container can be deployed in ECS.

@swiri021 swiri021 added this to the Phase 0 milestone Oct 1, 2021
@swiri021 swiri021 self-assigned this Oct 1, 2021
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swiri021 commented Oct 3, 2021

@swiri021 swiri021 pinned this issue Oct 4, 2021
@swiri021 swiri021 linked a pull request Oct 4, 2021 that will close this issue
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swiri021 commented Oct 4, 2021

@swiri021 swiri021 added Enhancement and removed AI/ML labels Oct 4, 2021
@swiri021 swiri021 linked a pull request Oct 5, 2021 that will close this issue
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swiri021 commented Oct 5, 2021

  • Updated connection between S3 and snakemake, but has an issue in feature extaction pipeline.
  • SageMaker is fully connected with S3 buckets and github.

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swiri021 commented Oct 6, 2021

  • Pipelines do not need to specify output folder if we go to s3 bucket, think about updating for this point.
  • Currently pipeline output folder should not have directory path, just use the name only

@swiri021 swiri021 changed the title Replacing pipeline/notebook containers to ECS/sageMaker in AWS module Replacing pipeline/notebook containers to ECS/sageMaker in AWS module(Transition to AWS environment) Oct 6, 2021
@swiri021 swiri021 changed the title Replacing pipeline/notebook containers to ECS/sageMaker in AWS module(Transition to AWS environment) Replacing pipeline/notebook containers to Batch/sageMaker in AWS module(Transition to AWS environment) Oct 6, 2021
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swiri021 commented Oct 6, 2021

  • Need to implement AWS batch for pipeline

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  • Need CloudFormation management for AWS resources

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swiri021 commented Oct 17, 2021

  • Shared volume(EFS) + array job type in AWS batch could be used for sequential task execution for data pipeline.

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