Flask app, calling data from Airtable on a schedule, displaying it in range of text and visual components
Dockerised, deployed to AWS ECR, with a task definition that serves image tagged 'latest' in ECS with a load balancer
See main.tf for infra
- Get data
- tabs
- make components
Build docker image
docker buildx build --platform linux/amd64 -t aws-terraform-metrics/runner . --load
Run docker image locally
docker run -p 5000:5000 aws-terraform-metrics/runner:latest
Deployment Script
./push.sh . 848094190915.dkr.ecr.eu-west-2.amazonaws.com/aws-terraform-metrics/runner latest 848094190915
Or
Build docker image
docker buildx build --platform linux/amd64 -t aws-terraform-metrics/runner . --load
Tag docker image
docker tag aws-terraform-metrics/runner:latest 848094190915.dkr.ecr.eu-west-2.amazonaws.com/aws-terraform-metrics/runner:latest
Login to ECR
aws --region "$region" ecr get-login-password | docker login --username AWS --password-stdin 848094190915.dkr.ecr.eu-west-2.amazonaws.com
Push docker image
docker push 848094190915.dkr.ecr.eu-west-2.amazonaws.com/aws-terraform-metrics/runner:latest
Then force an update on ECS to use the new image
aws ecs update-service --cluster aws-terraform-metrics-cluster --service aws-terraform-metrics-service --force-new-deployment
Keep secrets in terraform.tfvars, these are loaded automatically by terraform.
Check what will be created/changed
terraform plan
Apply changes
terraform apply