Metadata-Version: 2.1
Name: aws-cdk.aws-ecs-patterns
Version: 1.16.0
Summary: CDK Constructs for AWS ECS
Home-page: https://github.com/aws/aws-cdk
Author: Amazon Web Services
License: UNKNOWN
Project-URL: Source, https://github.com/aws/aws-cdk.git
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: jsii (~=0.20.2)
Requires-Dist: publication (>=0.0.3)
Requires-Dist: aws-cdk.aws-applicationautoscaling (>=1.16.0,~=1.16)
Requires-Dist: aws-cdk.aws-certificatemanager (>=1.16.0,~=1.16)
Requires-Dist: aws-cdk.aws-ec2 (>=1.16.0,~=1.16)
Requires-Dist: aws-cdk.aws-ecs (>=1.16.0,~=1.16)
Requires-Dist: aws-cdk.aws-elasticloadbalancingv2 (>=1.16.0,~=1.16)
Requires-Dist: aws-cdk.aws-events (>=1.16.0,~=1.16)
Requires-Dist: aws-cdk.aws-events-targets (>=1.16.0,~=1.16)
Requires-Dist: aws-cdk.aws-iam (>=1.16.0,~=1.16)
Requires-Dist: aws-cdk.aws-route53 (>=1.16.0,~=1.16)
Requires-Dist: aws-cdk.aws-route53-targets (>=1.16.0,~=1.16)
Requires-Dist: aws-cdk.aws-servicediscovery (>=1.16.0,~=1.16)
Requires-Dist: aws-cdk.aws-sqs (>=1.16.0,~=1.16)
Requires-Dist: aws-cdk.core (>=1.16.0,~=1.16)

# CDK Construct library for higher-level ECS Constructs

<html></html>---


![Stability: Stable](https://img.shields.io/badge/stability-Stable-success.svg?style=for-the-badge)

---
<html></html>

This library provides higher-level Amazon ECS constructs which follow common architectural patterns. It contains:

* Application Load Balanced Services
* Network Load Balanced Services
* Queue Processing Services
* Scheduled Tasks (cron jobs)

## Application Load Balanced Services

To define an Amazon ECS service that is behind an application load balancer, instantiate one of the following:

* `ApplicationLoadBalancedEc2Service`

```python
# Example may have issues. See https://github.com/aws/jsii/issues/826
load_balanced_ecs_service = ecs_patterns.ApplicationLoadBalancedEc2Service(stack, "Service",
    cluster=cluster,
    memory_limit_mi_b=1024,
    task_image_options={
        "image": ecs.ContainerImage.from_registry("test"),
        "environment": {
            "TEST_ENVIRONMENT_VARIABLE1": "test environment variable 1 value",
            "TEST_ENVIRONMENT_VARIABLE2": "test environment variable 2 value"
        }
    },
    desired_count=2
)
```

* `ApplicationLoadBalancedFargateService`

```python
# Example may have issues. See https://github.com/aws/jsii/issues/826
load_balanced_fargate_service = ecs_patterns.ApplicationLoadBalancedFargateService(stack, "Service",
    cluster=cluster,
    memory_limit_mi_b=1024,
    cpu=512,
    task_image_options={
        "image": ecs.ContainerImage.from_registry("amazon/amazon-ecs-sample")
    }
)
```

Instead of providing a cluster you can specify a VPC and CDK will create a new ECS cluster.
If you deploy multiple services CDK will only create one cluster per VPC.

You can omit `cluster` and `vpc` to let CDK create a new VPC with two AZs and create a cluster inside this VPC.

## Network Load Balanced Services

To define an Amazon ECS service that is behind a network load balancer, instantiate one of the following:

* `NetworkLoadBalancedEc2Service`

```python
# Example may have issues. See https://github.com/aws/jsii/issues/826
load_balanced_ecs_service = ecs_patterns.NetworkLoadBalancedEc2Service(stack, "Service",
    cluster=cluster,
    memory_limit_mi_b=1024,
    task_image_options={
        "image": ecs.ContainerImage.from_registry("test"),
        "environment": {
            "TEST_ENVIRONMENT_VARIABLE1": "test environment variable 1 value",
            "TEST_ENVIRONMENT_VARIABLE2": "test environment variable 2 value"
        }
    },
    desired_count=2
)
```

* `NetworkLoadBalancedFargateService`

```python
# Example may have issues. See https://github.com/aws/jsii/issues/826
load_balanced_fargate_service = ecs_patterns.NetworkLoadBalancedFargateService(stack, "Service",
    cluster=cluster,
    memory_limit_mi_b=1024,
    cpu=512,
    task_image_options={
        "image": ecs.ContainerImage.from_registry("amazon/amazon-ecs-sample")
    }
)
```

The CDK will create a new Amazon ECS cluster if you specify a VPC and omit `cluster`. If you deploy multiple services the CDK will only create one cluster per VPC.

If `cluster` and `vpc` are omitted, the CDK creates a new VPC with subnets in two Availability Zones and a cluster within this VPC.

## Queue Processing Services

To define a service that creates a queue and reads from that queue, instantiate one of the following:

* `QueueProcessingEc2Service`

```python
# Example may have issues. See https://github.com/aws/jsii/issues/826
queue_processing_ec2_service = QueueProcessingEc2Service(stack, "Service",
    cluster=cluster,
    memory_limit_mi_b=1024,
    image=ecs.ContainerImage.from_registry("test"),
    command=["-c", "4", "amazon.com"],
    enable_logging=False,
    desired_task_count=2,
    environment={
        "TEST_ENVIRONMENT_VARIABLE1": "test environment variable 1 value",
        "TEST_ENVIRONMENT_VARIABLE2": "test environment variable 2 value"
    },
    queue=queue,
    max_scaling_capacity=5
)
```

* `QueueProcessingFargateService`

```python
# Example may have issues. See https://github.com/aws/jsii/issues/826
queue_processing_fargate_service = QueueProcessingFargateService(stack, "Service",
    cluster=cluster,
    memory_limit_mi_b=512,
    image=ecs.ContainerImage.from_registry("test"),
    command=["-c", "4", "amazon.com"],
    enable_logging=False,
    desired_task_count=2,
    environment={
        "TEST_ENVIRONMENT_VARIABLE1": "test environment variable 1 value",
        "TEST_ENVIRONMENT_VARIABLE2": "test environment variable 2 value"
    },
    queue=queue,
    max_scaling_capacity=5
)
```

## Scheduled Tasks

To define a task that runs periodically, instantiate an `ScheduledEc2Task`:

```python
# Example may have issues. See https://github.com/aws/jsii/issues/826
# Instantiate an Amazon EC2 Task to run at a scheduled interval
ecs_scheduled_task = ScheduledEc2Task(stack, "ScheduledTask",
    cluster=cluster,
    scheduled_ec2_task_image_options={
        "image": ecs.ContainerImage.from_registry("amazon/amazon-ecs-sample"),
        "memory_limit_mi_b": 256,
        "environment": {"name": "TRIGGER", "value": "CloudWatch Events"}
    },
    schedule=events.Schedule.expression("rate(1 minute)")
)
```


