1. a stack for greengrass fleet provisioning and component deployment of a recipe using s3 and docker container (ECR) artifacts using AWS classic provider and BucketV2 resource

    TypeScript

    To create a stack for AWS Greengrass fleet provisioning and component deployment, we'll use Pulumi with the AWS classic provider. We'll define a Greengrass component version with a recipe that references artifacts stored in S3 and a Docker container image in an ECR repository. We'll also set up an S3 bucket for storing the Greengrass component artifacts.

    Here's the Pulumi program in TypeScript that sets up the required resources:

    import * as aws from "@pulumi/aws"; import * as awsNative from "@pulumi/aws-native"; // Create an S3 bucket to store Greengrass component artifacts const componentArtifactsBucket = new aws.s3.Bucket("componentArtifactsBucket"); // Create an ECR repository to store the Docker container images const containerRepository = new aws.ecr.Repository("containerRepository"); // Define the Greengrass component version const componentVersion = new awsNative.greengrassv2.ComponentVersion("componentVersion", { inlineRecipe: `{ "RecipeFormatVersion": "2020-01-25", "ComponentName": "MyGreengrassComponent", "ComponentVersion": "1.0.0", "ComponentDescription": "A Greengrass component that uses S3 and Docker", "ComponentPublisher": "MyCompany", "ComponentConfiguration": { "DefaultConfiguration": { "Message": "Hello from Greengrass V2 component!" } }, "Manifests": [ { "Platform": { "os": "linux" }, "Artifacts": [ { "Uri": "s3://${componentArtifactsBucket.bucket}/path/to/artifact.zip" } ], "Lifecycle": { "Install": { "Script": "docker run --name my_container ${containerRepository.repositoryUrl}:latest" } } } ] }` }); // Export the S3 bucket name and ECR repository URL export const bucketName = componentArtifactsBucket.bucket; export const repositoryUrl = containerRepository.repositoryUrl;

    This program sets up an S3 bucket to store your Greengrass component artifacts and an ECR repository to store your Docker container images. It then defines a Greengrass component version with an inline recipe that references these resources. The Lifecycle.Install.Script field in the recipe is where you would specify the command to run your Docker container. Replace path/to/artifact.zip with the actual path to your Greengrass component artifact in the S3 bucket.

    Make sure to replace MyGreengrassComponent and other placeholders with the actual values relevant to your application. The component's recipe is defined inline as a JSON string, which allows you to specify the details of your Greengrass component, including the S3 URI of the artifact and the Docker run command for the container.