guillermo-ampie / aws-cand-infrastructure-at-scale

Deployment of EC2 instances and AWS Lambda function using Terraform. Architecture diagrams of a Web based app using several AWS services and a serverless deployment. Cost estimates for several scenarios.

Cloud Developer ND Course 2: Design for Performance and Scalability

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Project Instructions

Exercise 1

1. Download the starter code.
2. In the main.tf file write the code to provision
   • AWS as the cloud provider
   • Use an existing VPC ID
   • Use an existing public subnet
   • 4 AWS t2.micro EC2 instances named Udacity T2
   • 2 m4.large EC2 instances named Udacity M4
3. Run Terraform.
4. Take a screenshot of the 6 EC2 instances in the AWS console and save it as Terraform_1_1.
5. Use Terraform to delete the 2 m4.large instances
6. Take an updated screenshot of the AWS console showing only the 4 t2.micro instances and save it as Terraform_1_2

Exercise 2

1. In the Exercise_2 folder, write the code to deploy an AWS Lambda Function using Terraform. Your code should include:

   • A lambda.py file
   • A main.tf file with AWS as the provider, and IAM role for Lambda, a VPC, and a public subnet
   • An outputs.tf file
   • A variables.tf file with an AWS region

2. Take a screenshot of the EC2 instances page

3. Take a screenshot of the VPC page