1. Using aws parameter with applicationloadbalancing

    TypeScript

    To use AWS Parameter Store parameters with an Application Load Balancer (ALB) in Pulumi, you'll need to perform the following steps:

    1. Create or Retrieve a Parameter: Define a parameter within the AWS Systems Manager (SSM) Parameter Store, or retrieve an existing parameter if you have already created one.
    2. Create an ALB: Define an Application Load Balancer, and ensure it's configured correctly for your needs.
    3. Reference the Parameter in ALB Configuration: Use the parameter from AWS Parameter Store within scripts or configuration files that the ALB uses.

    Below is a TypeScript program that demonstrates how to create a new SSM parameter and then set up an Application Load Balancer that might use this parameter as part of its configuration. For example, if the ALB needed to use certain values for routing rules or for its listener configuration, the SSM parameter could be used to hold these values.

    The following code assumes you have AWS credentials configured for your Pulumi environment, and you are familiar with the basics of TypeScript and Pulumi.

    import * as aws from "@pulumi/aws"; // Create a new SSM Parameter Store parameter const parameter = new aws.ssm.Parameter("myParameter", { name: "my-load-balancer-parameter", type: "SecureString", // Choosing SecureString for sensitive data value: "secureValue", // Replace 'secureValue' with the actual value you need to store }); // The Pulumi program then creates an Application Load Balancer with a listener and target group. // The ALB could have its configuration read from SSM parameters depending on your use case. // Create a new VPC -- or choose to use existing VPC const vpc = new aws.ec2.Vpc("myVpc", { cidrBlock: "10.0.0.0/16", }); // Create a subnet for the ALB const subnet = new aws.ec2.Subnet("mySubnet", { vpcId: vpc.id, cidrBlock: "10.0.1.0/24", }); // Create an Application Load Balancer in the VPC const loadBalancer = new aws.lb.LoadBalancer("myLoadBalancer", { internal: false, securityGroups: [], // Specify your security group IDs here subnets: [subnet.id], // Use the subnet created above }); // Create a target group for the ALB to route requests to const targetGroup = new aws.lb.TargetGroup("myTargetGroup", { port: 80, protocol: "HTTP", vpcId: vpc.id, // Use the ID of the VPC created above }); // Create a listener for HTTP traffic, routing to the target group const listener = new aws.lb.Listener("myListener", { loadBalancerArn: loadBalancer.arn, port: 80, defaultActions: [{ type: "forward", targetGroupArn: targetGroup.arn, }], }); export const ssmParameterName = parameter.name; export const loadBalancerArn = loadBalancer.arn; export const loadBalancerDnsName = loadBalancer.dnsName;

    In this code block:

    • A new SSM parameter "myParameter" is created, storing a secure value.
    • A VPC and subnet are created if you do not have existing ones to use.
    • A new ALB "myLoadBalancer" and a target group "myTargetGroup" are created to handle incoming traffic.
    • A listener "myListener" is set up to listen on port 80 and forward requests to the target group.

    Note that in practice, the referenced SSM parameter could be used within a User Data script for an EC2 instance associated with the target group, or for another aspect of the application being served by the ALB that requires secure configuration information from Parameter Store.

    The use of Pulumi stack exports (export const) allows you to retrieve the DNS name of the load balancer and the name of the SSM parameter for use in your application or outputs.

    Remember that the AWS credentials need to have appropriate permissions to create these resources and that any sensitive values should be handled securely, as detailed in the Pulumi documentation on secrets.