[Feature][Doc] Access S3 bucket from Pods in EKS #958
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smit-kiri
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Mar 13, 2023
| # botocore==1.8.50 | ||
| ``` | ||
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| ## Workaround solutions |
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Also a use-case where things will break - if you use the ray image < ray:2.3.0 in a RayService and set the working directory to a zip file in a private S3 bucket, the Ray Serve application will not be able to start.
I have not tested this yet, but a potential solution could be to
- Create a custom docker image on top of
ray:2.3.0and manually install the latestboto3version (would defer to the Ray team to make sure this works) - Create a custom docker image on top of
ray:2.3.0, add your code in the image, and set the working directory (inserveConfig) to a local directory. This should get serve application running. Any model deployment code trying to access S3 should do that using boto3_example_2.py. (I will be testing this in the next few days, but will defer to the Serve team to make sure this works).
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Good point. Runtime environment also downloads working_dir via boto3 (code). cc @architkulkarni
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I tried to update working_dir to point to my private S3 bucket, and got the error above. We need to update the boto3 version.
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@architkulkarni is working on updating the boto3 version: ray-project/ray#33273.
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Access S3 bucket from Pods in EKS
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Why are these changes needed?
Users want to access S3 buckets in Ray Pods. See this slack thread for more context.
Related issue number
#956
ray-project/ray#33256
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