How to migrate to AWS Serverless application with AWS Chalice framework.

WELCOME!

This workshop content will handle the server based Python Flask web application and show how to migrate to Serverless architecture application using AWS Chalice micro-framework. It deals with how to migrate from a server-based application into a serverless environment by practical application level. This workshop cover Cloud9, S3, API Gateway, Lambda, Cognito, DynamoDB, X-Ray, Parameter Store with AWS Chalice micro-framework. This workshop contains two short presentations and three hands-on labs. Application source code and hands-on lab guides are providing via Github repository.

Presenters

• Sungshik Jou (Technical Trainer)
• JinUk Lee (Technical Trainer)

Lab Instructors

Thanks to the following people for their assistance with this lab:

• KyoungSu Lee (ProServ)
• Sungmin Hong (Technical Trainer)
• ChungHo Min (Technical Trainer)
• Dayoungle Jun (Technical Trainer)

LAB GUIDE

• LAB 01 - Take a look around

  • TASK 1. Create AWS Cloud9 environment and explore the environment.
  • TASK 2. Look around legacy application and try run it.
  • TASK 3. Connect to your application (Cloud9)
  • TASK 3 [OPTIONAL-TASK]: Connect to your application (SSH Tunneling)
  • TASK 4. Take a look around
  • TASK 5. Stop your application
  • Optional Challenges

• LAB 02 - Move to serverless

  • TASK 0. Permission grant for Cloud9
  • TASK 1. Go to DynamoDB
  • TASK 2. Go to S3
  • TASK 3. Go to Cognito
  • TASK 4. Go to X-ray

• LAB 03 - Serverless with AWS Chalice

  • TASK 1 : Setup virtualenv.
  • TASK 2 : Build a simple AWS Chalice serverless app.
  • TASK 3 : CloudAlbum with AWS Chalice

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