AWS ECS Service Deployment scenarios with 'Insufficient CPU' scenarios Even with Available Resources
I'm sure I'm missing something obvious here, but I'm building a feature where I'm running into an scenario when trying to deploy a new service on AWS ECS using Fargate... Despite having enough CPU and memory resources allocated, the deployment fails with the behavior message `Insufficient CPU` in the AWS Management Console. My task definition specifies a `cpu` value of `256` and memory of `512` MB. I've double-checked the cluster capacity and it shows that there are available resources. Here’s a snippet of my task definition: ```json { "family": "my-task", "containerDefinitions": [ { "name": "my-container", "image": "my-docker-image:latest", "cpu": 256, "memory": 512, "essential": true } ], "networkMode": "awsvpc", "requiresCompatibilities": ["FARGATE"], "executionRoleArn": "arn:aws:iam::123456789012:role/ecsTaskExecutionRole" } ``` I've ensured that the execution role has the necessary permissions for pulling the Docker image and accessing other AWS resources. I also tried increasing the `cpu` value to `512` but encountered the same behavior. I verified that the VPC and subnet configuration is correct and can support Fargate tasks. My current setup is in a region that supports Fargate (us-east-1). I’ve browsed through the AWS documentation on Fargate limits and checked the service quotas; everything seems to be in order. Has anyone else faced a similar scenario, or could someone point out what I might be missing in my configuration? I'm working on a mobile app that needs to handle this. I'm developing on Windows 10 with Json.