ECS

Amazon Elastic Container Service (ECS) is a highly scalable and fast container management service, that helps you to easily deploy, manage, and scale containerized workloads on AWS within a cluster. With ECS, your containers are defined in a task definition that you use to run an individual task or task within a service, which is a configuration for running and maintaining a specified number of tasks simultaneously in a cluster. You can run tasks and services on serverless infrastructure managed by AWS Fargate or manage a cluster of Amazon EC2 instances on your own for more control over your infrastructure.

Terraform Name

aws_ecs_cluster

ECS

attributes:

‍

capacity_providers - (Optional, Deprecated use the aws_ecs_cluster_capacity_providers resource instead) List of short names of one or more capacity providers to associate with the cluster. Valid values also include FARGATE and FARGATE_SPOT.
configuration - (Optional) The execute command configuration for the cluster. Detailed below.
default_capacity_provider_strategy - (Optional, Deprecated use the aws_ecs_cluster_capacity_providers resource instead) Configuration block for capacity provider strategy to use by default for the cluster. Can be one or more. Detailed below.
name - (Required) Name of the cluster (up to 255 letters, numbers, hyphens, and underscores)
setting - (Optional) Configuration block(s) with cluster settings. For example, this can be used to enable CloudWatch Container Insights for a cluster. Detailed below.
tags - (Optional) Key-value map of resource tags. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.

configuration

execute_command_configuration - (Optional) The details of the execute command configuration. Detailed below.

execute_command_configuration

kms_key_id - (Optional) The AWS Key Management Service key ID to encrypt the data between the local client and the container.
log_configuration - (Optional) The log configuration for the results of the execute command actions Required when logging is OVERRIDE. Detailed below.
logging - (Optional) The log setting to use for redirecting logs for your execute command results. Valid values are NONE, DEFAULT, and OVERRIDE.

log_configuration

cloud_watch_encryption_enabled - (Optional) Whether or not to enable encryption on the CloudWatch logs. If not specified, encryption will be disabled.
cloud_watch_log_group_name - (Optional) The name of the CloudWatch log group to send logs to.
s3_bucket_name - (Optional) The name of the S3 bucket to send logs to.
s3_bucket_encryption_enabled - (Optional) Whether or not to enable encryption on the logs sent to S3. If not specified, encryption will be disabled.
s3_key_prefix - (Optional) An optional folder in the S3 bucket to place logs in.

default_capacity_provider_strategy

capacity_provider - (Required) The short name of the capacity provider.
weight - (Optional) The relative percentage of the total number of launched tasks that should use the specified capacity provider.
base - (Optional) The number of tasks, at a minimum, to run on the specified capacity provider. Only one capacity provider in a capacity provider strategy can have a base defined.

setting

name - (Required) Name of the setting to manage. Valid values: containerInsights.
value - (Required) The value to assign to the setting. Valid values are enabled and disabled.

‍

Associating resources with a

ECS

Resources do not "belong" to a

ECS

Rather, one or more Security Groups are associated to a resource.

Create

ECS

via Terraform:

The following HCL creates an ECS cluster with capacity providers

Syntax:

resource "aws_ecs_cluster" "example" {
name = "example"
}

resource "aws_ecs_cluster_capacity_providers" "example" {
cluster_name = aws_ecs_cluster.example.name

capacity_providers = [aws_ecs_capacity_provider.example.name]

default_capacity_provider_strategy {
base = 1
weight = 100
capacity_provider = aws_ecs_capacity_provider.example.name
}
}

resource "aws_ecs_capacity_provider" "example" {
name = "example"

auto_scaling_group_provider {
auto_scaling_group_arn = aws_autoscaling_group.example.arn
}
}

Create

ECS

via CLI:

Parameters:

create-cluster
[--cluster-name <value>]
[--tags <value>]
[--settings <value>]
[--configuration <value>]
[--capacity-providers <value>]
[--default-capacity-provider-strategy <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]

Example:

aws ecs create-cluster --cluster-name MyCluster --capacity-providers MyCapacityProvider1 MyCapacityProvider2 --default-capacity-provider-strategy capacityProvider=MyCapacityProvider1,weight=1 capacityProvider=MyCapacityProvider2,weight=1

Costs

The cost of using Elastic Container Service (ECS) cluster depends on several factors, including the number and size of EC2 instances, the amount of CPU and memory required by your containers, and the amount of data stored by your containers. For EC2 instances, you are charged based on the hourly rate for the instance type and the number of instances you run. The cost of EC2 instances varies depending on the instance type and the region you are using. For CPU and memory resources, you are charged based on the amount of CPU and memory resources required by your containers. The cost of CPU and memory resources varies depending on the instance type and the region you are using. For data storage, you are charged for the amount of data stored by your containers. The cost of data storage varies depending on the type of storage you are using and the region you are using.