Resume

Infrastructure as code, using Terraform for provisioning, Ansible for configurations and dependencies, and AWS as the infrastructure provider.

🔨 Project features

• Create virtual machines on EC2
• Separate your code into 2 environments, one for production and one for development
• configure machines to run a Django API automatically
• prepare an elastic infrastructure
• create a Load Balancer for your application

✔️ Techniques and technologies used

The following techniques and technologies are explored in this App:

• Creation of machines in EC2: creation of virtual machines in the EC2 environment (Elastic Compute Cloud) of AWS
• Machine Configuration: Automatically configure the machines using Ansible
• Creating playbooks: playbooks are an integral part of ansible and describe the steps to be followed
• Separation of environments: 2 separate environments, built automatically by Terraform, reusing code.
• Execution of APIs: how to start an API automatically after machine configuration
• Creation of the load balancer: the load balancer is a program used to distribute requests between multiple machines

🛠️ Open and run the project

The project was developed in VSC (Visual Studio Code), so install VSC (it may be a more recent version) and, on the home screen, look for the extensions option, or press Ctrl+Shift+X, and search for HashiCorp Terraform , so we will have the support of intellisense, making the work of writing the code faster.

Go to the folder and open the project folder. After opening the project, open a terminal, it can be the one integrated with VSC, navigate to the infra/, env/prod and env/dev folders and run the terraform init command inside them, now we have the terraform started and we can start using it. To create the infrastructure, run terraform apply in one of the Production (env/prod) or Development (env/dev) folders according to the desired environment.🏆

🚀 Install Terraform on arch linux

pacman -Syu terraform

Publishing Image to AWS ECR

Retrieve an authentication token and authenticate your Docker client against your registry.

aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin <ACCOUNT-ID>.dkr.ecr.us-east-1.amazonaws.com

🐋 Build your Docker image using the following command. For information on creating a Docker file from scratch, see the instructions here.

docker build -t production .

Once the build completes, tag your image so you can push it to this repository:

docker tag production:latest <ACCOUNT-ID>.dkr.ecr.us-east-1.amazonaws.com/production:latest

Run the following command to push this image to the newly created AWS repository:

docker push <ACCOUNT-ID>.dkr.ecr.us-east-1.amazonaws.com/production:latest