>>25640283
Here's what AI said
You're right that your current deployment approach has a few issues, particularly with downtime and scalability. Let's explore some better alternatives for deploying your application.
Better Deployment Options
1. Container Registry + ECS/EKS
The most direct improvement would be to push your Docker images to a container registry instead of SCPing them to EC2:
Push built images to Amazon ECR (Elastic Container Registry) or another registry like Docker Hub
Deploy using Amazon ECS (Elastic Container Service) or EKS (Elastic Kubernetes Service)
Use rolling deployments to minimize downtime
ECS offers a simpler solution if you don't need the full capabilities of Kubernetes:
ECS can automatically handle rolling deployments
You can configure minimum healthy percent (e.g., 100%) and maximum percent (e.g., 200%) to ensure zero downtime
Your CI/CD pipeline would simply push the new image and update the ECS service
2. Blue/Green Deployments with CodeDeploy
If you prefer sticking with EC2:
Use AWS CodeDeploy to manage deployment to your autoscaling group
Implement blue/green deployments where a new set of instances is provisioned before switching traffic
Traffic is switched only when the new instances are healthy
3. Serverless Options
For an application with low load, you might consider:
AWS Lambda (if your application can be adapted to the serverless model)
AWS App Runner (which handles container deployments with zero downtime automatically)
Recommended Approach
For your situation, I'd recommend:
Start using Amazon ECR to store your Docker images
Set up ECS with an Application Load Balancer
Configure your GitHub Actions to:
Build the Docker image
Push to ECR
Update the ECS service with the new image
This approach gives you:
Zero downtime deployments
Automatic scaling
Simplified deployment process
Better security (no need for SSH access to EC2 instances)
Would you like me to elaborate on any particular approach or help with implementation details for a specific solution?