1. Optimizing retail operations with AWS Forecast for demand forecasting, integrated with inventory systems via Lambda

    TypeScript

    The objective of this program is to optimize retail operations using AWS Forecast for demand forecasting and integrating with inventory systems through an AWS Lambda function.

    However, as a caveat, please note that as of now, Pulumi does not directly support AWS Forecast resource itself, though it can be invoked manually by the AWS SDK inside a Lambda function.

    This Pulumi program does the following:

    1. Sets up an Amazon S3 bucket which will host the inventory data.
    2. Sets up AWS IAM roles necessary for AWS Lambda.
    3. Creates a Lambda function, running serverless code that uses AWS SDK to load data from the bucket and interact with AWS Forecast.

    Let's dive into the TypeScript code:

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

// Create an AWS S3 bucket that will store our inventory data
const inventoryBucket = new aws.s3.Bucket("inventoryBucket", {
    bucket: "our-awesome-inventory", 
    acl: "private",
});

// IAM role and policy for giving Lambda access to AWS Forecast and S3 bucket operations
const lambdaRole = new aws.iam.Role("lambdaRole", {
    assumeRolePolicy: {
        "Version": "2012-10-17",
        "Statement": [{
            "Action": "sts:AssumeRole", 
            "Principal": { "Service": "lambda.amazonaws.com" },
            "Effect": "Allow",
        }],
    },
});

// Lambda Basic Execution Policy
const lambdaPolicy = new aws.iam.Policy("lambdaPolicy", {
    policy: pulumi.interpolate`
    {
        "Version": "2012-10-17",
        "Statement": [
            {
                "Action": [
                    "logs:CreateLogGroup",
                    "logs:CreateLogStream",
                    "logs:PutLogEvents"
                ],
                "Effect": "Allow",
                "Resource": "*"
            },
            {
                "Effect": "Allow",
                "Action": [
                    "s3:GetObject",
                    "forecast:*"
                ],
                "Resource": "*"
            }
        ]
    }`,
});

// Attach the policy to the Role
new aws.iam.RolePolicyAttachment("lambdaRolePolicy", {
    role: lambdaRole,
    policyArn: lambdaPolicy.arn,
});

// AWS Lambda function code
const lambdaFunction = new aws.lambda.Function("lambdaFunc", {
    runtime: "nodejs14.x",
    code: new pulumi.asset.AssetArchive({
        ".": new pulumi.asset.FileTreeArchive("./src") 
    }),
    handler: "index.handler",
    role: lambdaRole.arn,
    environment: {
        variables: {
            INVENTORY_BUCKET: inventoryBucket.bucket
        }
    }
});

// Exports
exports.invBucketName = inventoryBucket.bucket;
exports.lambdaRoleArn = lambdaRole.arn;
exports.lambdaFunctionName = lambdaFunction.name;

    Keep in mind there are placeholders in this code you would need to replace with your own resources and/or configurations. Specifically, the bucket name and the path to the Lambda function code.

    This code should be placed in a file with a .ts extension, for example, index.ts.

    You can view the corresponding AWS resources in the Pulumi Registry:


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