Read a Spanish translation of this page by Jesus Rodriguez
Here are the steps of the original Cloud Resume Challenge; they are free for anyone to use. See the FAQ for more context on why I chose these specific steps.
Your resume needs to have the AWS Cloud Practitioner certification on it. This is an introductory certification that orients you on the industry-leading AWS cloud – if you have a more advanced AWS cert, that’s fine but not expected. No cheating: include the validation code on the resume. You can sit this exam online for $100 USD. A Cloud Guru offers exam prep resources.
Your resume needs to be written in HTML. Not a Word doc, not a PDF. Here is an example of what I mean.
Your resume needs to be styled with CSS. No worries if you’re not a designer – neither am I. It doesn’t have to be fancy. But we need to see something other than raw HTML when we open the webpage.
4. Static S3 Website
Your HTML resume should be deployed online as an Amazon S3 static website. Services like Netlify and GitHub Pages are great and I would normally recommend them for personal static site deployments, but they make things a little too abstract for our purposes here. Use S3.
The S3 website URL should use HTTPS for security. You will need to use Amazon CloudFront to help with this.
Point a custom DNS domain name to the CloudFront distribution, so your resume can be accessed at something like
my-c00l-resume-website.com. You can use Amazon Route 53 or any other DNS provider for this. A domain name usually costs about ten bucks to register.
The visitor counter will need to retrieve and update its count in a database somewhere. I suggest you use Amazon’s DynamoDB for this. (Use on-demand pricing for the database and you’ll pay essentially nothing, unless you store or retrieve much more data than this project requires.) Here is a great free course on DynamoDB.
You should also include some tests for your Python code. Here are some resources on writing good Python tests.
12. Infrastructure as Code
You should not be configuring your API resources – the DynamoDB table, the API Gateway, the Lambda function – manually, by clicking around in the AWS console. Instead, define them in an AWS Serverless Application Model (SAM) template and deploy them using the AWS SAM CLI. This is called “infrastructure as code” or IaC. It saves you time in the long run.
13. Source Control
You do not want to be updating either your back-end API or your front-end website by making calls from your laptop, though. You want them to update automatically whenever you make a change to the code. (This is called continuous integration and deployment, or CI/CD.) Create a GitHub repository for your backend code.
14. CI/CD (Back end)
Set up GitHub Actions such that when you push an update to your Serverless Application Model template or Python code, your Python tests get run. If the tests pass, the SAM application should get packaged and deployed to AWS.
15. CI/CD (Front end)
Create a second GitHub repository for your website code. Create GitHub Actions such that when you push new website code, the S3 bucket automatically gets updated. (You may need to invalidate your CloudFront cache in the code as well.) Important note: DO NOT commit AWS credentials to source control! Bad hats will find them and use them against you!
16. Blog post
Finally, in the text of your resume, you should link a short blog post describing some things you learned while working on this project. Dev.to is a great place to publish if you don’t have your own blog.
And that’s the gist of it! For strategies, tools, and further challenges to help you get hired in cloud, check out the Cloud Resume Challenge book.