Using aws mwaa with grafana

Question

Pulumi · Accepted Answer

To set up AWS Managed Workflows for Apache Airflow (MWAA) integrated with Grafana, we will need to perform several steps.

First, we need to create an environment for MWAA. Currently, there is no direct Pulumi resource to create an MWAA environment, so you may need to use AWS CloudFormation or configure it via the AWS Console. However, once our environment is set up, we can manage other resources, such as necessary S3 buckets, IAM roles, and security groups, using Pulumi.

Next is setting up Grafana. While Pulumi does not have a native AWS provider for Grafana, there is a provider for Aiven's Grafana that allows us to create managed Grafana instances. Again, this may not directly apply to AWS's hosted Grafana solutions, so you may need to set up Grafana through AWS Marketplace or manually through the AWS Console.

However, let's assume you're looking to create necessary resources for the integration. We need to ensure we have the following:

- An S3 bucket for MWAA to store DAGs and logs.
- An IAM role that MWAA can assume with policies that allow it to interact with other AWS services.
- A VPC with a security group that can be used by MWAA for its network configuration.
- A Grafana instance that can connect to the MWAA environment's metrics.

Below is a high-level Pulumi program written in TypeScript that defines these resources. Since we can't directly create MWAA and Grafana environments with Pulumi's AWS provider, we'll set up placeholders and focus on the other related resources.

**Detailed Pulumi Program in TypeScript:**

```typescript
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
import * as aiven from "@pulumi/aiven";

// Create an S3 bucket for AWS Managed Workflows for Apache Airflow (MWAA)
const mwaaBucket = new aws.s3.Bucket("mwaaBucket", {
    acl: "private",
});

// IAM role for MWAA to access necessary AWS resources
const mwaaRole = new aws.iam.Role("mwaaRole", {
    assumeRolePolicy: JSON.stringify({
        Version: "2012-10-17",
        Statement: [
            {
                Effect: "Allow",
                Principal: {
                    Service: "airflow.amazonaws.com",
                },
                Action: "sts:AssumeRole",
            },
        ],
    }),
});

// Attach policies to the MWAA role. Replace 'policyArn' with actual ARNs as needed.
const mwaaPolicyAttachment = new aws.iam.RolePolicyAttachment("mwaaPolicyAttachment", {
    role: mwaaRole,
    policyArn: aws.iam.ManagedPolicy.AmazonS3FullAccess, // Example policy
});

// Set up the VPC and Security Group for MWAA
const vpc = new aws.ec2.Vpc("mwaaVpc", {
    cidrBlock: "10.0.0.0/16",
});

const securityGroup = new aws.ec2.SecurityGroup("mwaaSecurityGroup", {
    vpcId: vpc.id,
});

// Assuming you've set up Grafana through Aiven or AWS Marketplace,
// and now want to reference it here. Replace `plan` and other config with actual values.
const grafanaInstance = new aiven.Grafana("grafanaInstance", {
    plan: "startup-4", // Placeholder plan name
    projectName: "my-grafana-project", // Specify your Aiven project name
    serviceName: "my-grafana-service", // Specify the desired service name
});

// Output relevant URLs and connection details
export const mwaaBucketName = mwaaBucket.bucket;
export const mwaaRoleArn = mwaaRole.arn;
export const mwaaVpcId = vpc.id;
export const mwaaSecurityGroupId = securityGroup.id;
export const grafanaServiceUri = grafanaInstance.serviceUri;

```

**Explanation:**

- We create an S3 bucket using `aws.s3.Bucket` that MWAA will use to store DAGs and logs.
- An IAM role with `aws.iam.Role` is created which MWAA will assume.
- We attach an example policy to the IAM role allowing access to S3. This needs to be replaced with proper MWAA policies.
- A new VPC and Security Group are created for MWAA using `aws.ec2.Vpc` and `aws.ec2.SecurityGroup`.
- Although we do not have the direct ability to create a Grafana instance via AWS with Pulumi, we define a placeholder for Aiven's Grafana service using `aiven.Grafana`, to illustrate how you might instantiate a Grafana service through code.
- We then export several key properties as stack outputs, which can be helpful for referencing these resources in other parts of your infrastructure or for connecting Grafana to your MWAA environment.

**Next Steps:**

Since Pulumi does not support creating MWAA and AWS-hosted Grafana instances directly, you'll need to manually create and configure them in the AWS Console or using CloudFormation templates. Once created, you could fetch their details using Pulumi's stack references or AWS SDK within your Pulumi program for any further integrations.

Links to the relevant Pulumi AWS resource documentation:
- [AWS S3 Bucket](https://www.pulumi.com/docs/reference/pkg/aws/s3/bucket/)
- [AWS IAM Role](https://www.pulumi.com/docs/reference/pkg/aws/iam/role/)
- [AWS VPC](https://www.pulumi.com/docs/reference/pkg/aws/ec2/vpc/)
- [AWS Security Group](https://www.pulumi.com/docs/reference/pkg/aws/ec2/securitygroup/)

Note that in a real-world scenario, you need to replace placeholder values with actual ones that correspond to your AWS setup and Grafana requirements. Also, be sure to handle any necessary permissions and security settings for these resources to interact securely within your AWS environment.