1. What are the steps to build a data marketplace using AWS Data Exchange and API Gateway in TypeScript


    Building a data marketplace using AWS Data Exchange and API Gateway involves several steps and AWS services. AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud. Amazon API Gateway is a service for creating, publishing, maintaining, monitoring, and securing REST, HTTP, and WebSocket APIs at any scale.

    Below are outlined steps and the explanation of a Pulumi program written in TypeScript to create the foundational infrastructure for a data marketplace:

    1. Creating a Data Exchange Dataset: Datasets are central to AWS Data Exchange, where producers can publish their data and subscribers can access it.

    2. Setting up API Gateway: This will define the entry point for our data marketplace, providing the necessary endpoints for subscribers to access datasets and any related functionality.

    3. Integrating the API with AWS services: We might need to enable functionalities like subscribing to a dataset, which could involve Lambda functions and other AWS services.

    4. Securing the API: We would define authorizers and maybe usage plans to manage and secure access to our API.

    5. Deploying the API: API Gateway needs a stage where the deployed API can be accessed by clients.

    Let's write the Pulumi TypeScript program for such an infrastructure. The program will define a dataset, a REST API, and deploy it to a stage with the resources given by the Pulumi Registry.

    import * as aws from "@pulumi/aws"; import * as pulumi from "@pulumi/pulumi"; // Create an AWS Data Exchange DataSet. const dataSet = new aws.dataexchange.DataSet("myDataSet", { name: "My Data Marketplace DataSet", description: "This data set is published on my marketplace.", assetType: "S3_SNAPSHOT", // or adjust based on your dataset type }); // Define an API Gateway REST API for the data marketplace. const api = new aws.apigateway.RestApi("dataMarketplaceApi", { name: "DataMarketplaceApi", description: "REST API for the data marketplace.", }); // Define a simple lambda function that could, for example, provide subscription functionality. // // Note: You would need to define the lambda function code according to your actual business logic. // const subscriptionLambda = new aws.lambda.Function("subscriptionLambda", { code: new pulumi.asset.AssetArchive({ // Placeholder for the lambda function package. }), runtime: aws.lambda.NodeJS12dXRuntime, role: lambdaRole.arn, // Make sure to define lambdaRole with necessary permissions handler: "index.handler", }); // Integrate the Lambda function with the API Gateway. const subscriptionIntegration = new aws.apigateway.Integration("subscriptionLambdaIntegration", { restApi: api, resourceId: api.rootResourceId, // Adjust if you're targeting a specific resource httpMethod: "POST", // The method to use for invoking the Lambda function integrationHttpMethod: "POST", // Integration HTTP method must be POST for AWS_PROXY integrations type: "AWS_PROXY", // AWS_PROXY integration is for Lambda function invocations uri: subscriptionLambda.invokeArn, }); // Deploy the API. const deployment = new aws.apigateway.Deployment("apiDeployment", { restApi: api, // `dependsOn` is used to ensure the integration is created before deployment. dependsOn: [subscriptionIntegration], }); // Stage is necessary for the deployment to be invokable. const stage = new aws.apigateway.Stage("apiStage", { restApi: api, deployment: deployment, stageName: "prod", }); // Output the HTTPS endpoint of the stage for accessing the data marketplace. export const apiEndpoint = pulumi.interpolate`${api.executionArn}/${stage.stageName}`;

    In this program:

    • We define an AWS Data Exchange DataSet using the aws.dataexchange.DataSet resource. The assetType should be set according to the type of dataset you are providing.

    • We then create an API Gateway REST API using the aws.apigateway.RestApi resource.

    • A Lambda function, potentially handling dataset subscription logic, is defined using aws.lambda.Function. Its implementation is not shown here but would be replaced by the function code pertinent to your use case.

    • An aws.apigateway.Integration is created to link the Lambda function with the REST API as a POST method.

    • Next, we declare an aws.apigateway.Deployment to deploy the API's configuration and a aws.apigateway.Stage which is where the deployment is live and invokable from the internet.

    • Finally, we export the API endpoint so that it can be accessed by users outside the Pulumi program.

    You will need to add the actual Lambda function code and update the IAM role for the Lambda function (lambdaRole) with appropriate permissions. Furthermore, depending on your exact requirements, there might be additional steps, such as setting up data subscriptions, handling API keys, authorizers for restricting access, and integrating other AWS services. Make sure to address all these aspects based on your business logic and compliance needs.