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The Cloud Resume Challenge (Notes)

2 min read

  • Set up AWS CLI and Installed Terraform

  • Initialized infra.resume.gagelara, created a basic main.tf that sets a budget and creates an S3 bucket.

  • Connecting AWS to Github Actions

  • Created a terraform bootstrap with a AWS DynamoDB table & S3 bucket for

  • Terraformed CloudFront and OAC

  • Created an IAM User and Account Alias

  • Created an AWS S3 bucket, enabled static web hosting in the properties, and added a placeholder index.html

  • Created an AWS CloudFront distribution with my S3 Bucket as the origin.

    • Note: Do not enable the static website option, make sure the CloudFront distribution has a root object set

  • Registered new domain with Namecheap

  • Create AWS Route 53 Hosted Zone

    • Add the four nameservers under Value/Route traffic to to the Namecheap Custom DNS name servers

  • Setup SSL/TLS cert in AWS Certificate Manager (ACM)

    • Use DNS Verification by created a Route 53 Record

  • In CloudFront distribution add alternative domain names, add the custom SSL certificate

  • In route 53 create alias records pointing to the CloudFront distributions for any subdomains

Recap: Learned how to configure S3 Buckets and add content. Set up CloudFront distribution for selectively exposing bucket contents to the web. Configured domain name with Route 53, created SSL/TLS Certificate using ACM, and directed custom domain traffic to CloudFront Distribution.

Recap: Managed to get pretty comfortable with the Terraform workflow and starting to learn HCL. Set up a basic GitOps workflow for deploying to AWS

  • Refactored the resume.gagelara repo
  • developed the frontend
  • set up a gitops pipeline for updating the frontend content
  • separated infra and frontend workflows to maintain separation of concerns
  • added optional direnv support to the repo
  • Created a JS script to display visitor count
  • Made an API for the visitor counter
  • Set up a python lambda function to calculate visitor count, starting with a placeholder, fetched via api
  • Set up a DynamoDB to store the visitor count, and modified the lambda function to calculate
  • Split the incrementing and checking of visitor count into two separate functions
  • created a basic cookie to track whether a visitor what a returning visitor, and whether to increment or just count
  • modularized terraform configuration
  • created the readme

Todo

  • Blogpost

The Cloud Resume Challenge

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