rubinchyk / world-task Goto Github PK

Technologies which I used: Docker compose Nginx with routing and caching Postgres SQL Python with FastAPI NodeJs with NextJS SSR SCSS and Typescript

How to run

1. Clone repository
2. docker compose up --build

How to shutdown

1. docker compose down

To deploy your Docker Compose configuration to AWS, you can follow these steps:

1. Set up an AWS account: If you don't already have an AWS account, go to the AWS website (https://aws.amazon.com) and sign up for an account. Follow the instructions to create an account and provide the necessary billing information.

2. Install and configure AWS CLI: Install the AWS Command Line Interface (CLI) on your local machine by following the instructions provided by AWS (https://aws.amazon.com/cli/). Once installed, configure the AWS CLI by running the aws configure command and providing your AWS access key ID, secret access key, default region, and output format.

3. Create an EC2 instance: In the AWS Management Console, navigate to the EC2 service. Click on "Launch Instance" to create a new EC2 instance. Choose an Amazon Machine Image (AMI) that suits your needs, and select an instance type. Configure the instance details, such as the number of instances, network settings, and storage. Finally, review and launch the instance.

4. SSH into the EC2 instance: Once the EC2 instance is running, you need to connect to it via SSH. In the EC2 dashboard, select your instance and click on the "Connect" button. Follow the instructions provided to establish an SSH connection to the instance.

5. Copy your Docker Compose file to the EC2 instance: Use the scp command to securely copy your Docker Compose file to the EC2 instance. Open a terminal or command prompt on your local machine and run the following command, replacing path/to/docker-compose.yml with the actual path to your Docker Compose file: scp -i path/to/key.pem path/to/docker-compose.yml ec2-user@<EC2_INSTANCE_IP>:~/docker-compose.yml

6. Install Docker on the EC2 instance: Once connected to the EC2 instance via SSH, run the following commands to install Docker: sudo yum update -y sudo amazon-linux-extras install docker -y sudo service docker start sudo usermod -a -G docker ec2-user

7. Deploy the Docker Compose stack: Run the following command to deploy the Docker Compose stack on the EC2 instance

   docker-compose -f ~/docker-compose.yml up -d

8. Access your deployed services: After the services have been deployed, you can access them using the public IP or DNS of your EC2 instance. For example, if you mapped the Nginx service to port 80, you can access it by entering the EC2 instance's IP or DNS in a web browser.

That's it! Your Docker Compose configuration should now be deployed and running on AWS EC2. Remember to manage your AWS resources carefully to avoid unnecessary costs, and consider using AWS Elastic Container Service (ECS) or Elastic Kubernetes Service (EKS) for more advanced container orchestration capabilities.

To optimize the deployment of your containers on AWS, you can consider the following approaches:

1. Use AWS Elastic Container Service (ECS) or Elastic Kubernetes Service (EKS): Instead of manually deploying your containers on an EC2 instance, consider leveraging AWS ECS or EKS for container orchestration. These services provide features like automatic scaling, load balancing, and service discovery, making it easier to manage and scale your containers.
2. Containerize your application properly: Ensure that your containers are optimized by following best practices for containerization. Use a minimal base image, only include necessary dependencies, and optimize the Dockerfile for efficient layer caching. This can reduce the container size, improve startup time, and optimize resource utilization.
3. Choose the right EC2 instance type: Select an EC2 instance type that aligns with the resource requirements of your containers. Consider factors such as CPU, memory, and network performance. AWS provides a wide range of instance types optimized for different workloads, so choose the one that best fits your needs.
4. Utilize Auto Scaling: Configure Auto Scaling groups to automatically adjust the number of EC2 instances based on the workload. This ensures that you have the right amount of resources available to handle varying traffic loads. Define scaling policies based on metrics like CPU utilization or request count to scale up or down as needed.
5. Optimize networking: Ensure that your containers are running in the appropriate VPC (Virtual Private Cloud) with the necessary security groups configured. Use private subnets for increased security and public subnets for services that need direct internet access. Consider utilizing AWS Network Load Balancer or Application Load Balancer to distribute traffic to your containers efficiently.
6. Use Amazon RDS for PostgreSQL: Instead of running PostgreSQL in a container, consider using Amazon RDS (Relational Database Service) for your database needs. RDS provides managed PostgreSQL instances, taking care of backups, high availability, and performance optimization. This offloads the burden of managing the database and allows you to focus on your application.
7. Enable caching: Implement caching mechanisms like Amazon ElastiCache (Redis) or Amazon CloudFront (CDN) to reduce the load on your containers and improve response times. Caching frequently accessed data or static assets can significantly enhance the performance of your application.
8. Monitor and optimize performance: Utilize AWS CloudWatch or third-party monitoring tools to monitor the performance of your containers, EC2 instances, and other AWS services. Identify bottlenecks, track resource utilization, and optimize your infrastructure accordingly. Use the insights gained to make data-driven decisions for scaling and performance improvements.

Remember that optimization strategies may vary depending on the specific requirements of your application. It's essential to regularly evaluate and fine-tune your setup to ensure efficient resource utilization and cost-effectiveness.