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The CDK Construct Library for AWS::GlobalAccelerator

Project description

AWS::GlobalAccelerator Construct Library

---

cfn-resources: Stable

All classes with the Cfn prefix in this module (CFN Resources) are always stable and safe to use.

cdk-constructs: Experimental

The APIs of higher level constructs in this module are experimental and under active development. They are subject to non-backward compatible changes or removal in any future version. These are not subject to the Semantic Versioning model and breaking changes will be announced in the release notes. This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.


Introduction

AWS Global Accelerator is a service that improves the availability and performance of your applications with local or global users. It provides static IP addresses that act as a fixed entry point to your application endpoints in a single or multiple AWS Regions, such as your Application Load Balancers, Network Load Balancers or Amazon EC2 instances.

This module supports features under AWS Global Accelerator that allows users set up resources using the @aws-cdk/aws-globalaccelerator module.

Accelerator

The Accelerator resource is a Global Accelerator resource type that contains information about how you create an accelerator. An accelerator includes one or more listeners that process inbound connections and direct traffic to one or more endpoint groups, each of which includes endpoints, such as Application Load Balancers, Network Load Balancers, and Amazon EC2 instances.

To create the Accelerator:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_globalaccelerator as globalaccelerator

globalaccelerator.Accelerator(stack, "Accelerator")

Listener

The Listener resource is a Global Accelerator resource type that contains information about how you create a listener to process inbound connections from clients to an accelerator. Connections arrive to assigned static IP addresses on a port, port range, or list of port ranges that you specify.

To create the Listener listening on TCP 80:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
globalaccelerator.Listener(stack, "Listener",
    accelerator=accelerator,
    port_ranges=[{
        "from_port": 80,
        "to_port": 80
    }
    ]
)

EndpointGroup

The EndpointGroup resource is a Global Accelerator resource type that contains information about how you create an endpoint group for the specified listener. An endpoint group is a collection of endpoints in one AWS Region.

To create the EndpointGroup:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
globalaccelerator.EndpointGroup(stack, "Group", listener=listener)

Add Endpoint into EndpointGroup

You may use the following methods to add endpoints into the EndpointGroup:

  • addEndpoint to add a generic endpoint into the EndpointGroup.
  • addLoadBalancer to add an Application Load Balancer or Network Load Balancer.
  • addEc2Instance to add an EC2 Instance.
  • addElasticIpAddress to add an Elastic IP Address.
# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
endpoint_group = globalaccelerator.EndpointGroup(stack, "Group", listener=listener)
alb = elbv2.ApplicationLoadBalancer(stack, "ALB", vpc=vpc, internet_facing=True)
nlb = elbv2.NetworkLoadBalancer(stack, "NLB", vpc=vpc, internet_facing=True)
eip = ec2.CfnEIP(stack, "ElasticIpAddress")
instances = Array()for ( let i = 0; i < 2; i++) {
  instances.push(new ec2.Instance(stack, `Instance${i}`, {
    vpc,
    machineImage: new ec2.AmazonLinuxImage(),
    instanceType: new ec2.InstanceType('t3.small'),
  }));
}

endpoint_group.add_load_balancer("AlbEndpoint", alb)
endpoint_group.add_load_balancer("NlbEndpoint", nlb)
endpoint_group.add_elastic_ip_address("EipEndpoint", eip)
endpoint_group.add_ec2_instance("InstanceEndpoint", instances[0])
endpoint_group.add_endpoint("InstanceEndpoint2", instances[1].instance_id)

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