Liz Stone's Portfolio Project

During the CareerFoundry Cloud Computing for Web Developers specialization course, you’ll build out a job-ready project for your portfolio. This is Liz’s project, where she refactored her Cinema.Database app (completed in the immersion course at CareerFoundry) for deployment on the Amazon Web Services (AWS) cloud.

Introducing her Cloud Computing project and sharing her experience studying with CareerFoundry, this is what Liz had to say:

What inspired you to make a career change into this field?

I had always been interested in coding, but I lacked a sense of direction within this vast field to pull me deeper into it. Several years after graduating college with a non-computer science degree and exploring some potential post-grad paths, I began to learn about web development. 

The more I learned, the more I saw that it embodied much of what I loved and missed about coding, and I started to see it as something on which I could build a career.

What did you enjoy most about the CareerFoundry program?

I appreciated the course structure, which allowed me to complete tasks in my own time while continuing to work. The lessons were very well-written and easy to follow, and to finish the course with a full portfolio and some career training has been tremendously helpful in transitioning into the job search.

What did you enjoy about creating this CareerFoundry portfolio project?

Cloud computing was not what I pictured myself doing when I started this journey, but as soon as this specialization course was added to the catalog, I knew I had to try it! Understanding the underlying structure to a granular level of something I had created and deployed ended up being a total thrill.

With regards to your new career and skills, what are your hopes for the future?

I hope to turn what I’ve learned into a career, where I can continue to learn and grow beyond what I’ve picked up in this course.

In addition to the selection of Liz’s work featured on this page, you can also find out more about the project on her website and GitHub repo.

VPC configuration: 3 public, 3 private, and 3 database subnets. Public subnets route to internet gateway and private subnets route to NAT gateway

ALB whose DNS is called by client making API calls

Target group of ALB: 3 web server instances

ASG with launch template from web server AMI, ensuring 3 running web servers

Sample of AWS CLI calls made to create and populate static site bucket

Screenshot from client site with S3 DNS in address bar

IAM role for Lambda function allowing basic Lambda permission, plus read + write access to image bucket

IAM role for EC2 instances (web servers) allowing read + write access to image bucket