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9000
9000
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After some tinkering around and lot's of googling I was able to make everything work and setup a repo that can just be cloned in the future.

Key takeaways: 1: All static packages have to be compiled on an ec2 amazon Linux instance 2: The python code needs to load the libraries in the lib/ folder before executing.

  1. All static packages have to be compiled on an ec2 amazon Linux instance
  2. The python code needs to load the libraries in the lib/ folder before executing.

Github repo: https://github.com/moesy/AWS-Lambda-ML-Microservice-Skeleton

After some tinkering around and lot's of googling I was able to make everything work and setup a repo that can just be cloned in the future.

Key takeaways: 1: All static packages have to be compiled on an ec2 amazon Linux instance 2: The python code needs to load the libraries in the lib/ folder before executing.

Github repo: https://github.com/moesy/AWS-Lambda-ML-Microservice-Skeleton

After some tinkering around and lot's of googling I was able to make everything work and setup a repo that can just be cloned in the future.

Key takeaways:

  1. All static packages have to be compiled on an ec2 amazon Linux instance
  2. The python code needs to load the libraries in the lib/ folder before executing.

Github repo: https://github.com/moesy/AWS-Lambda-ML-Microservice-Skeleton

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Moe
Moe
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After some tinkering around and lot's of googling I was able to make everything work and setup a repo that can just be cloned in the future.

Key takeaways: 1: All static packages have to be compiled on an ec2 amazon Linux instance 2: The python code needs to load the libraries in the lib/ folder before executing.

Github repo: https://github.com/moesy/AWS-Lambda-ML-Microservice-Skeleton