1. AI Application Configuration Tracking using AWS Config


    AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. It continuously monitors and records your AWS resource configurations and allows you to automate the evaluation of recorded configurations against desired configurations. With AWS Config, you can review changes in configurations and relationships between AWS resources, dive into detailed resource configuration histories, and determine your overall compliance against the configurations specified in your internal guidelines.

    Here's a simple program using Pulumi with AWS Config to set up configuration tracking for AWS resources in your account. This program will create a configuration recorder to record the resource configurations and a delivery channel to specify where to store the recorded data.

    This program does the following:

    • Sets up an AWS Config Configuration Recorder to record all resource configuration changes.
    • Sets up a delivery channel, which specifies where AWS Config sends notifications and updated configuration states.

    To begin using the program, you need to have Pulumi installed and configured with access to your AWS account. Here's the Pulumi program written in Python:

    import pulumi import pulumi_aws as aws # Create an IAM role that AWS Config will assume config_role = aws.iam.Role("configRole", assume_role_policy="""{ "Version": "2012-10-17", "Statement": [ { "Action": "sts:AssumeRole", "Principal": { "Service": "config.amazonaws.com" }, "Effect": "Allow", "Sid": "" } ] }""" ) # Attach a policy to the IAM role to allow AWS Config to write to S3, etc. policy = aws.iam.RolePolicy("configPolicy", role=config_role.id, policy=pulumi.Output.all(config_role.arn).apply(lambda arn: f"""{{ "Version": "2012-10-17", "Statement": [ {{ "Effect": "Allow", "Action": "s3:*", "Resource": "arn:aws:s3:::{arn}/*" }}, {{ "Effect": "Allow", "Action": "s3:PutObjectAcl", "Resource": "arn:aws:s3:::{arn}/*" }} ] }}""".format(arn=arn[0])) ) # Create an S3 bucket for storing configuration snapshots and history data config_bucket = aws.s3.Bucket("configBucket") # Create the AWS Config configuration recorder config_recorder = aws.cfg.Recorder("configRecorder", role_arn=config_role.arn, recording_group=aws.cfg.RecorderRecordingGroupArgs( all_supported=True, # Records all supported resources include_global_resource_types=True, # Includes global resources like IAM ) ) # Create the delivery channel for AWS Config information delivery_channel = aws.cfg.DeliveryChannel("deliveryChannel", s3_bucket_name=config_bucket.bucket, snapshot_delivery_properties=aws.cfg.DeliveryChannelSnapshotDeliveryPropertiesArgs( delivery_frequency="Six_Hours" # How often AWS Config delivers configuration snapshots ) ) pulumi.export("bucket_name", config_bucket.bucket) # Outputs the name of the bucket used for storing config data

    This program will start recording the configuration changes of supported AWS resources in your AWS account once deployed.

    Detailed Explanation

    1. IAM Role: An IAM role (configRole) with an attached policy (configPolicy) is created for AWS Config to have the necessary permissions to manage the recorded configurations and deliver them to an S3 bucket.

    2. S3 Bucket: We then declare an S3 bucket (configBucket) where AWS Config will store configuration history and snapshots.

    3. Config Recorder: The configuration recorder (configRecorder) is the component that records the configurations of your AWS resources, including their relationships and history.

    4. Delivery Channel: The delivery channel (deliveryChannel) specifies the S3 bucket to which AWS Config delivers the configuration snapshots and where the recorded data is stored.

    Note: The program assumes you have AWS credentials configured for the Pulumi CLI. The AWS Config service also requires certain permissions to be set up, which are assigned to the IAM role created in the program.

    After running this program with the Pulumi CLI, AWS Config will be monitoring and recording configurations for supported resources in the specified AWS account. You'll be able to access these configurations within the AWS Management Console under AWS Config, as well as within the S3 bucket used for delivery.