Check out #aws #CodeStar with #Cloud9 using #ec2 t2.micro

I came to know about Cloud9: A cloud IDE for writing, running, and debugging code when I started using CodeStar: a tool that streamlines the usage of multiple aws services such as
i) AWS CodeCommit - a fully-managed source control service that makes it easy for companies to host secure and highly scalable private Git repositories.
ii) AWS CodeBuild - a fully managed build service that compiles source code, runs tests, and produces software packages that are ready to deploy
iii) AWS CloudFormation - Model and provision all your cloud infrastructure resources
iv) Amazon CloudWatch - a monitoring and management service built for developers, system operators, site reliability engineers (SRE), and IT managers.
v) AWS Cloud9 - a cloud-based integrated development environment (IDE) that lets you write, run, and debug your code with just a browser.
The descriptions above were taken from respective AWS webpages.

You can check out some screenshots below on how to create a project using CodeStar. This is based of my experience of using Python for a web service to create lambdas and API Gateway endpoints.

How to create a project using CodeStar: 

1) Select a project template
AWS CodeStar Project templates

2) Select a Git repo
AWS CodeStar Git Repo
3) Select an IDE
AWS CodeStar IDE
4) Set up AWS Cloud9 environment. I have been using t2.micro and it is sufficient for me. Note that free tier is only available for the first 12 months.
AWS CodeStar Cloud9 EC2 instance types
5) Now that the configuration is done, it will start preparing the resources.
AWS Codestar console

6) If you scroll down a little bit, you will see an application activity and a continuous deployment section.
Application activity indicates the activity of an API Gateway endpoint using Amazon CloudWatch, for example.
Continuous deployment section shows the process and status of building and deployment.
AWS CodeStar Application Activity and Continuous Deployment

7) To open up your Cloud9 IDE, go to IDE tab on the left. And, you will see a similar screen.
AWS CodeStar Cloud9 IDE

8) To let other team members access and configure for this project, you can grant them access on Team tab. 
AWS CodeStar Project Team
9) This is how Cloud9 IDE looks like:
AWS Cloud9
10) Cloud9 supports key bindings / enables shortcut keys! This is an important feature to speed up development. 
AWS Cloud9 Keybindings 
11) You can open up a terminal by clicking + button on the top of a page
AWS Cloud9 New Terminal
12) You can run your test on Cloud9 IDE by following the follow steps:
click AWS Resources on the right panel >  expand local functions > expand your project name > right click or select a lambda function > run
AWS Cloud9 Resources - run function locally

13) In my Cloud9 IDE, you can see these 2 important files buildspec.yml and template.yml
buildspec.yml contains the commands to build the project
template.yml is an AWS Serverless Application Model template. This is sam cli repo in case you are interested in 

AWS SAM is important to build and deploy code successfully. 

What is yml? YAML is a human friendly data serialization standard for all programming languages.

14) When you run your lambda function locally, lambda-payloads.json file will be created. This file is where you have all your query parameters set.
You can get a template of the type of payloads that you expect on Lambda test section. 
AWS Cloud9 run code locally
15) Now, you can start writing code and edit your yaml template to build and deploy your code. 

On the hand, please check out my Amazon Alexa post which I will keep updating after I try out with more Alexa functions. Thanks!

Thanks for reading!
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