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serverless-machine-learning-on-aws's Introduction

Serverless Machine Learning On AWS

The template.json file is an AWS CloudFormation template that builds the following serverless components:

  • An AWS CodeBuild project based on the buildspec.yaml file that creates AWS Lambda Layers that can be included as dependencies for any Lambda function

  • A sample AWS Lambda function that performs object detection on image URLs

  • A REST API interface using Amazon API Gateway

  • A serverless front-end using Amazon S3 and AWS CloudFront

In order to complete launch the template you'll need an AWS Account with access to the services above. There are resources required by this workshop that are eligible for the AWS free tier if your account is less than 12 months old. See the AWS Free Tier page for more details.

Region Launch
US East (N. Virginia) Launch Serverless ML in us-east-1

License

This library is licensed under the Apache 2.0 License.

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serverless-machine-learning-on-aws's Issues

Layers consume more than the available size of 262144000 bytes

During CloudFormation stack creation, logical ID:Inference fails.

Resource handler returned message: "Layers consume more than the available size of 262144000 bytes (Service: Lambda, Status Code: 400, Request ID: c3bcfa5c-91df-414e-aa76-c25c312277fb, Extended Request ID: null)" (RequestToken: 14df4eb5-13a1-a1dd-9810-72b4ae130520, HandlerErrorCode: InvalidRequest)

Steps to reproduce:

  • Launch stack from github in us-east-1 on AWS

I've successfully built this stack before (some time ago). Can't figure out what has changed, and how to fix this issue.

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