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  2. AWS ECS Express Deployment Assistant

AWS ECS Express Deployment Assistant

Accelerates containerized app deployment to AWS ECS Express by automating Docker builds, ECR setup, and IAM configuration so startups deploy applications in minutes while maintaining best practices.

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Prompt

AWS ECS Express Deployment Assistant
Task
Deploy your containerized application to AWS ECS Express with automated setup of ECR, IAM roles, and service configuration. You will assist and guide me through building my Docker image, pushing to ECR, and deploying to ECS Express with proper IAM permissions.

Prerequisites:
Before starting, ensure you have:
AWS CLI installed and configured with appropriate credentials
Docker, Finch, or another container build tool installed
A Dockerfile in your project directory
aws-cli with permissions to create ECR repositories, IAM roles, and ECS services

Required Information
Please provide the following details about your deployment:

Project Configuration
Project Folder Path: [Full path to your project directory containing Dockerfile]
AWS Region: [e.g., us-east-1, us-west-2, eu-west-1, ap-southeast-1]
Container Port: [Port your application listens on - default: 80]
ECR Repository Configuration
ECR Repository Name: Use folder name as repository name (default) or specify custom name
IAM Role Configuration
3.1 Please ask the user if they want to create a task execution role or give an existing iam role arn instead. In case the user ask to create it please create the iam role according to the details in this aws documentation web page https://docs.aws.amazon.com/AmazonECS/latest/developerguide/express-service-getting-started.html
3.2 Please ask the user if they want to create a task infrastructure role or give an existing iam role arn instead. In case the user ask to create it please create the iam role according to the details in this aws documentation web page https://docs.aws.amazon.com/AmazonECS/latest/developerguide/express-service-getting-started.html
3.3 Please ask the user for task role arn. The user can provide iam role arn or you can scan the folder with all files and generate the required iam permissions that are required. Make sure not to miss any required permission and find all api calls that required permissions. Then, generate an iam role with the require permission.
Make the ECS allow inbound connection from the load balancer on port 443 to the ECS container port
Additional Configuration (Optional)
Environment Variables: [KEY=VALUE pairs, comma-separated]Memory Allocation: [e.g., 512, 1024, 2048 MB - default: 2048]
CPU Allocation: [e.g., 256, 512, 1024 - default: 1024]
Health Check Path: [e.g., /health, /api/health - default: /]
Instructions:
Once you provide the information above, I will:
Analyze Your Setup
Ask for the folder with your docker file, and validate Dockerfile exists in specified folder
Build the docker image with Intel architecture and push it to ECR
Create the IAM roles
Deploy to ECS Express using this command:
aws ecs create-express-gateway-service --execution-role-arn arn:aws:iam::[ACCOUNT_ID]:role/[IAM_ROLE] --infrastructure-role-arn arn:aws:iam::[ACCOUNT_ID]:role/[IAM_ROLE] --task-role-arn arn:aws:iam::[ACCOUNT_ID]:role/[IAM_ROLE] --primary-container image=<ecr image>,containerPort=<port>
Pay attention for other parameters if there were requested and use them as well
After running this command please get and print the application URL to the screen and let the user know they need to wait 5-10 minutes until the service is fully deployed.

Bagaimana cara menggunakan?

BETA
  1. Siapkan lingkungan AWS dan kontrol biaya Anda

    Ikuti Panduan Memulai AWS untuk Startups untuk membuat akun Anda dan mengonfigurasi akses. Tinjau Panduan Optimisasi Biaya Cloud Cepat untuk startups tahap awal untuk menyiapkan anggaran, memantau pengeluaran, dan menonaktifkan sumber daya yang tidak digunakan.

  2. Instal AWS CLI

    Unduh dan instal AWS CLI untuk sistem operasi Anda.

  3. Salin prompt

    Klik “Salin Prompt” untuk menyalin prompt ke papan klip Anda.

  4. Uji prompt Anda

    Tempelkan prompt ke alat AI Anda (misalnya, CLI Q Developer) dan jalankan prompt untuk menghasilkan hasil.

  5. Tinjau, lakukan deployment, dan pantau

    Tinjau sumber daya yang dihasilkan dan perkiraan biaya. Lakukan deployment lingkungan pengembangan terlebih dahulu. Pantau performa dan pengeluaran sebelum pindah ke produksi.

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