aws / sagemaker-sparkml-serving-container

This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.
Apache License 2.0
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Update the tag for the base image for the SparkML container to always pick the latest image. #20

Closed mahithsuresh closed 3 years ago

mahithsuresh commented 3 years ago

Change: The current SparkML container image derives from a base image that is over 2 years old. This base image has a bunch of security vulnerabilities that have been addressed in subsequent images. Changing the tag of the base image to always get the latest base image.

Testing: I verified the container by building it locally. Vulnerabilities are gone and no regressions. I was able to run all the integration and other end-to-end invocations and everything is succeeding.

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