Onboard AWS in Data Manager

Data Manager helps you quickly set up multiple AWS accounts for data ingestion into your Splunk Cloud deployment.

Logging in and getting started with Data Manager

Complete the following steps to get started:

1. Log into Splunk Cloud using Splunk-provided credentials.
2. Save the email that contains the credentials. It contains a Forgot Password link, in case you need to reset your password.
3. Change your password at the prompt.
4. Sign the terms and conditions.
5. Start onboarding or take the product tour.

Data Manager walks you through adding existing data sources so that you can monitor and investigate any alerts that impact the security state of your environment. It also helps you to see which services you are ingesting, but not yet using, so that you can expand your security coverage.

Stages of onboarding

Data Manager walks you through various stages depending if you're onboarding a single AWS account or multiple AWS accounts.

The onboarding steps are described in detail within Data Manager. The details are not duplicated here. Wait for each step to finish, before attempting to continue on to the next step.

Onboard a single account

Onboarding a single AWS account consists of the following stages:

1. Configure the AWS prerequisites in the data account.
2. Configure the data account, regions, and data sources.
3. Create a data ingestion CloudFormation stack in each region.

Onboard multiple accounts

Onboarding multiple AWS accounts consists of the following stages:

1. Configure the AWS prerequisites in the control account and data accounts.
2. Configure the control account, data accounts, regions, and data sources.
3. Create a control account CloudFormation StackSet to manage the data accounts.
4. Create data account CloudFormation stack instances per region.

Summary of CloudFormation stack templates

A high-level summary of CloudFormation stack templates follows.

The onboarding steps are described in detail within Data Manager. The details are not duplicated here.

1. Splunk provides CloudFormation templates to establish the stack set execution role and the Data Manager read role.
   1. The read role allows Splunk to read metadata from CloudTrail, SecurityHub, GuardDuty, CloudFormation, Firehose, S3, Lambda, events, and logs.
   2. The template also creates five other IAM roles to allow Firehose, CloudWatch, Lambda, S3, logs, and events to interact amongst themselves.
2. You apply the templates.

Deploy CloudFormation templates

Data Manager uses us-east-1 to set up resources, such as IAM Roles, that do not need to be configured in all the regions that you select for data onboarding. When creating and deleting resources, the resources in us-east-1 are created first and they are deleted last. The CloudFormation templates automatically create a stack or stackset in the us-east-1 region for data ingestion.

Deploying templates takes approximately ten minutes.

1. Splunk provides a nested stack set template, which takes a couple of minutes to prepare.
2. You download the template when the download button is enabled.
3. You apply the template in the control account to start setting up resources across all the list of data accounts, for data ingestion into Splunk through the Firehose.
4. Data starts flowing within five minutes.

Wait for the stack to reach the CREATE_COMPLETE status. This indicates a successful stack creation.

The template preparation period varies depending on the number of data sources you selected during onboarding. After you specify the data sources that need to be onboarded, the backend synchronously creates one HTTP Event Collector (HEC) token for every dataset as part of the final download ingest templates operation.

You see this as a disabled download button in the UI until all the tokens are created. If you hover over the download button, you see the message regarding template preparation. There is also an information banner with status and tips. The template download button is enabled when all tokens are created for data ingestion through the Firehose.

Click Finish to navigate to the Data Management home page and see your data input.