AWS infrastructure to ship CloudTrail logs from S3 to Kinesis
This repository contains a Terraform module to ship CloudTrail logs stored in a S3 bucket into a Kinesis stream for further processing and real-time analysis.
Use-cases include shipping CloudTrail logs of an organization trail to a SIEM (such as Splunk) or third-party service provider.
Architecture
In summary:
-
A S3 bucket notification is configured to trigger a SNS event every time AWS delivery a new CloudTrail log file to the S3 bucket.
-
A subscription is set up so that a Lambda function is invoked for every SNS event, i.e. every time AWS delivers a new CloudTrail log file to the S3 bucket.
-
The Lambda function picks up the information that a new file was uploaded, reads this file from S3 and writes it to Kinesis.
Pre-requisites
-
A CloudTrail organization trail must already be configured to ship organization-wide CloudTrail logs to a S3 bucket
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This S3 bucket ("CloudTrail S3 bucket") must already exist
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The CloudTrail S3 bucket must be in the same AWS account and region as the one the module is instantiated
Usage
Inputs
| Name | Description | Type | Default | Required |
|---|---|---|---|---|
| cloudtrail-bucket-name | Name of the S3 bucket in which CloudTrail logs are stored (must exist and properly configured to receive CloudTrail logs prior to calling this module) | string |
n/a | yes |
| cloudtrail-sns-topic-name | Name of the SNS topic where information about newly shipped CloudTrail log files are sent | string |
"organization-trail-event-notification-topic" |
no |
| cloudwatch-logs-retention-time-days | Retention period for the CloudWatch logs of the Lambda function (in days) | number |
7 |
no |
| kinesis-num-shards | Number of shards to use in the Kinesis stream | number |
4 |
no |
| kinesis-retention-time-days | Retention period of the Kinesis stream (in days) | number |
7 |
no |
| kinesis-stream-kms-key-id | ID of the KMS key to use for encrypting the Kinesis stream | string |
"alias/aws/kinesis" |
no |
| kinesis-stream-name | Name of the Kinesis stream used for aggregation | string |
"cloudtrail-logs-stream" |
no |
| lambda-memory | Memory to allocate to the Lambda function | number |
512 |
no |
Outputs
| Name | Description |
|---|---|
| kinesis-stream-arn | ARN of the newly created Kinesis stream |
| kinesis-stream-name | Name of the newly created Kinesis stream |
| sns-topic-arn | arn of the newly creates SNS topic |
| sns-topic-name | Name of the newly creates SNS topic |
Example usage
Sample usage:
provider "aws" {
region = "eu-west-1"
}
// Ship CloudTrail logs that AWS ships in "my-organization-trail-s3-bucket" into a Kinesis stream "cloudtrail-logs"
module "cloudtrail-to-kinesis" {
source = "github.com/nexthink/terraform-aws-cloudtrail-s3-to-kinesis?ref=v1.0.0"
cloudtrail-bucket-name = "my-organization-trail-s3-bucket"
kinesis-stream-name = "cloudtrail-logs"
kinesis-retention-time-days = 7
}
Monitoring
Logs
Logs of the Lambda function are sent to a CloudWatch log group. Invocation rate and success/error rate can be seen directly from the AWS console, under the "Monitoring" tab of the Lamdba function
Observability
The module creates a custom CloudWatch metric NumberOfCloudTrailRecordsShippedToKinesis, allowing to have visibility on the total number of CloudTrail events shipped by the Lambda function. When used conjointly to the default AWS Lambda CloudWatch metrics, it allows to easily build a CloudWatch dashboard to monitor the volume of logs processed by the Lambda function, as well as any potential errors.
Unit tests
Run the Lambda function unit tests using:
$ cd lambda
$ make test
AWS_SECRET_ACCESS_KEY= AWS_ACCESS_KEY_ID= python -m unittest discover tests -v
test_extract (test_extract.TestExtract) ... ok
test_entrypoint (test_lambda_entrypoint.TestLambdaEntryPoint) ... 2021-04-09 16:38:33,062 Reading CloudTrail log file s3://my-cloudtrail-bucket/dir/to/cloudtrail.json.gz
2021-04-09 16:38:33,066 Writing CloudTrail log payload to Kinesis (27596 bytes)
ok
test_writes_to_kinesis (test_load.TestLoad) ... 2021-04-09 16:38:33,124 Found credentials in environment variables.
2021-04-09 16:38:33,155 Writing CloudTrail log payload to Kinesis (24 bytes)
ok
test_returns_correct_data_from_s3 (test_transform.TestExtract) ... 2021-04-09 16:38:33,236 Found credentials in environment variables.
2021-04-09 16:38:33,300 Reading CloudTrail log file s3://my-bucket//path/to/cloudtrail-file.json.gz
ok
----------------------------------------------------------------------
Ran 4 tests in 0.532s
OK
End-to-end tests
End-to-end tests use Terratest to spin up real infrastructure, create a S3 bucket, ship a sample CloudTrail log file to it and check that the expected record is produced in Kinesis.
# Pre-requisite: ensure you are authenticated against a test/CI AWS account
# $ aws-vault-exec ci-account
$ cd test/
$ go test
End-to-end tests take around 2-3 minutes to run.
Examples
See the examples/ folder for complete usage examples.
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