1. Using aws lightsail with xray

    TypeScript

    AWS Lightsail is a simplified cloud platform that's ideal for simpler workloads, quick deployments, and getting started quickly with AWS. AWS X-Ray, on the other hand, helps developers analyze and debug distributed applications, such as those built using a microservices architecture.

    In the provided scenario, let's assume you want to create an AWS Lightsail instance that serves as the host of an application, and you'd like to utilize AWS X-Ray to monitor and trace the requests coming into your application.

    Here's what you need to do, broadly:

    1. Set up an AWS Lightsail instance using Pulumi.
    2. Install your application on the Lightsail instance.
    3. Configure your application to use AWS X-Ray SDK so that it sends trace data to AWS X-Ray.

    For this example, I'll show you how to create the AWS Lightsail instance using Pulumi and how to provision an AWS X-Ray group, which is a logical grouping of traced requests. The actual setup for your application to use AWS X-Ray will vary based on your application's programming language and framework but typically involves integrating the AWS X-Ray SDK into your application code.

    Below is a TypeScript program that creates both an AWS Lightsail instance and an AWS X-Ray Group. The program assumes that you have AWS credentials configured.

    import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

const instanceName = "my-lightsail-instance";
const groupName = "my-xray-group";

// Create an AWS Lightsail instance.
const instance = new aws.lightsail.Instance(instanceName, {
    // Replace with the appropriate blueprint ID for your instance. 
    // For example: 'nodejs' for a preconfigured Node.js instance.
    blueprintId: "a_blueprint_id",
    bundleId: "micro_2_0", // Change to the bundle that suits your use case.
    availabilityZone: "us-west-2a" // Update this with the desired AWS region and zone.
    // For a complete list of properties, visit:
    // https://www.pulumi.com/registry/packages/aws/api-docs/lightsail/instance/
});

// Create an AWS X-Ray group.
const xrayGroup = new aws.xray.Group(groupName, {
    groupName: groupName,
    filterExpression: "response = 200" // Modify this with your actual filter expression.
    // For a complete list of properties, visit:
    // https://www.pulumi.com/registry/packages/aws/api-docs/xray/group/
});

// Export the Lightsail instance public IP and the X-Ray group ARN.
export const publicIpAddress = instance.publicIpAddress;
export const xrayGroupArn = xrayGroup.arn;

    The Lightsail instance is created with a specific blueprintId and bundleId. The blueprintId determines the type of instance (like a Node.js or Python stack), while the bundleId determines the hardware configuration. The availabilityZone specifies where the instance is hosted.

    The X-Ray group is defined with a groupName and a filter expression that determines which tracers to include in the group. The filter expression in this example (response = 200) selects traces that resulted in an HTTP 200 status code.

    Remember to replace 'a_blueprint_id' with a valid blueprint ID that matches the stack you want to set up on your Lightsail instance.

    After deploying this program with Pulumi, you will get the public IP address of your Lightsail instance and the ARN for the X-Ray group as stack outputs. You can then access your Lightsail instance using this IP address, and AWS X-Ray will group traces according to the specified filter expression. Your application needs to be configured to send trace data to AWS X-Ray, which typically involves integrating AWS X-Ray SDK into your app.

    This is just a starting point. Both AWS Lightsail and AWS X-Ray offer a wide range of options that can be adjusted to fit your specific scenario. You'll need to refer to AWS documentation and Pulumi AWS API documentation for more details on how to configure these services to match your exact requirements.


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