https://github.com/aws-samples/aws-developer-workshop
This is a self paced workshop to get started on Serverless or Container development using AWS Developer Tools.
https://github.com/aws-samples/aws-developer-workshop
Last synced: 4 months ago
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This is a self paced workshop to get started on Serverless or Container development using AWS Developer Tools.
- Host: GitHub
- URL: https://github.com/aws-samples/aws-developer-workshop
- Owner: amazon-archives
- License: apache-2.0
- Archived: true
- Created: 2018-02-14T05:38:12.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-05-10T13:23:57.000Z (about 6 years ago)
- Last Synced: 2024-08-10T13:03:15.974Z (11 months ago)
- Language: Python
- Size: 9.52 MB
- Stars: 9
- Watchers: 19
- Forks: 4
- Open Issues: 17
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
- awesome-aws-workshops - Modern Application Development Workshop
README
## Modern Application Development Workshop
This is a workshop to get developers started on AWS using the cloud native primitives. This workshop is designed as a self paced lab which incrementally increases in expertise
We will build a simple web app based on microservices using the 12 factor methodology, deploy it on the cloud and try some debug steps.
We will do this workshop in a pair programming mode. So find a buddy.
**Pre-requisite**
1. [Setup AWS account ](https://aws.amazon.com/premiumsupport/knowledge-center/create-and-activate-aws-account/)
1. [SetUp Development Environment](http://docs.aws.amazon.com/codestar/latest/userguide/getting-started.html)
The modules build on each other and are intended to be executed linearly.
## Basics
## **Serverless application**
|Level |Module| Description |
|--|--|--|
|Basic |[Writing your first AWS Lambda Function on AWS Cloud9](INSTRUCTIONS.md)|Add a new service using SAM Local to a serverless application which was created by from AWS CodeStar|
|Basic |[Deploying Your Function using AWS SAM and AWS CodeDeploy](INSTRUCTIONS.md)|Deploy Function to Cloud using AWS developer Tools.|
|Basic |[Debugging and Monitoring your function](INSTRUCTIONS.md)|Debug and monitor your application using Cloud9, CodeStar and xRay and Cloudwatch |
|Basic |[Build a Continuous Deployment Pipeline](INSTRUCTIONS.md)|Using AWS CodeCommit, AWS CodePipeline, and AWS CodeBuild, create a continuous deployment pipeline to automatically deploy changes to our application|
|Intermediate |[Deploying Deep Learning Functions on Lambda](https://github.com/awslabs/mxnet-lambda)|Predict labels along with their probablities for an image using a pre-trained model with Apache MXNet deployed on AWS Lambda|
## **Containerized application**
**Fargate**
|Level|Module| Description |
|--|--|--|
|Basic | [Getting Started with Amazon ECS using AWS Fargate](http://running-containers-on-aws-fargate.s3-website-us-east-1.amazonaws.com/getting-started-with-amazon-ecs-using-aws-fargate.html) | Create a new Amazon ECS cluster using the AWS Management Console. At the end of this module, we’ll have a new ECS cluster and supporting infrastructure such as a VPC and subnets and a small Hello World application running |
|Basic |[Create a Docker Image Repository](http://running-containers-on-aws-fargate.s3-website-us-east-1.amazonaws.com/create-a-docker-image-repository.html)|Create a new Docker registry repository for workshop images in Amazon ECR.
|Basic|[Build and Push a Docker Image](http://running-containers-on-aws-fargate.s3-website-us-east-1.amazonaws.com/build-and-push-a-docker-image.html)|Fork a sample application from GitHub which uses an Amazon DynamoDB table to store notable quotations and build it as a Docker container image and push it to your new Docker image repository.
|Basic|[Create a Service](http://running-containers-on-aws-fargate.s3-website-us-east-1.amazonaws.com/create-a-service.html)|Fork a sample application from GitHub which uses an Amazon DynamoDB table to store notable quotations and build it as a Docker container image and push it to your new Docker image repository.
|Intermediate |[Build a Continuous Deployment Pipeline](http://running-containers-on-aws-fargate.s3-website-us-east-1.amazonaws.com/build-a-continuous-deployment-pipeline.html)|Using AWS CodeCommit, AWS CodePipeline, and AWS CodeBuild, create a continuous deployment pipeline to automatically deploy changes to our application|
**ECS**
|Level|Module| Description |
|--|--|--|
|Basic| [Deploy Java spring PetClining microservice app on ECS](https://github.com/awslabs/amazon-ecs-java-microservices/tree/master/3_ECS_Java_Spring_PetClinic_CICD) | We will be using AWS CodeCommit, AWS CodePipeline, AWS CodeBuild to demonstrate continuous delivery of a Java Spring Boot microservices. We will be using the Spring PetClinic project. |
|Intermediate|[Containers - Blue-Green Deployment](https://github.com/awslabs/ecs-canary-blue-green-deployment)|Execute a canary deployment for Amazon EC2 Container Service. In order to provide an automated and safe method of migrating traffic from a blue deployment to a green one, this solution leverages Route53 weights to adjust the traffic flow from one ECS service to another.|
|Intermediate|[Deploying Deep Learning Functions on ECS](https://github.com/awslabs/ecs-mxnet-example)| Create an automated workflow that will provision, configure and orchestrate a pipeline triggering deployment of any changes to your AI model or application code.|
**Kubernetes**
|Level |Module| Description |
|--|--|--|
|Basic | [Deploy a sample application on Kubernetes using AWS CodeSuite Tools](https://github.com/aws-samples/aws-kube-codesuite) | The CodeSuite Continuous Deployment reference architecture demonstrates how to achieve continuous deployment of an application to a Kubernetes cluster using AWS CodePipeline, AWS CodeCommit, AWS CodeBuild and AWS Lambda. We will use a sample puython application. |
## **Other**
|Level |Module| Description |
|--|--|--|
|Advanced |[Cross Regions/Cross Account Pipeline](https://aws.amazon.com/blogs/devops/building-a-cross-regioncross-account-code-deployment-solution-on-aws/)|Build an automated cross-region code deployment solution using AWS CodePipeline, AWS CodeDeploy , and AWS Lambda |
## License
This repository contains multiple directories, each individually licensed. Please see the LICENSE file in each directory.