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Downloading Grand Central App for Splunk
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Grand Central App for Splunk

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This app is NOT supported by Splunk. Please read about what that means for you here.
Grand Central App For Splunk

Grand Central App for Splunk

Manage and Monitor your Cloud Data Providers in Splunk from one centralized data platform.

This Splunk based app relies on the work done by Project Trumpet and the AWS Organizational model.

Grand Central User's Guide :

  • Version 3.0.5

Getting Started

Amazon Web Services
Grand Central works with the AWS Organizations framework and does not require either Landing Zone or Control Tower to work. By having the organization setup with multiple accounts, Grand Central will be able to discover the accounts and add into management within Splunk.
Please refer to the Amazon Web Services documentation on how to get started with Organizations.

Before Deploying Grand Central

You will need to be able to create an IAM User in the Master Account and the sub accounts that will be added into management under Splunk. By default there will be two IAM policies created, one to list all the accounts in the Organization and the second will be a deployment policy.

IAM Role Creation Shortcut (Simplified)
1. Log into your Master AWS Account AWS Account:

  1. Click on Grand Central Create

  2. Copy the Access Key / Secret Key from CloudFormation Output :

  3. Download grand_central_202.spl file from S3 bucket and install on your Splunk instance. Splunk Cloud customers request to have the app installed.

Cloudformation Template for IAM User Creation

Here is the Cloudformation template used for this IAM Role Creation : https://github.com/amiracle/grand_central/blob/master/cf_templates/GC_StackSet_UserCreate_CFTemplate.json

Here is the policy which it will deploy for reference:

IAM Policy - GCPolicy_Rev2.json

    "Version": "2012-10-17",
    "Statement": [
            "Sid": "CFTemplateSSInstance",
            "Effect": "Allow",
            "Action": [
            "Resource": "arn:aws:cloudformation:*:*:stackset/grandcentral*"
            "Sid": "CFTemplateCreateStackSet",
            "Effect": "Allow",
            "Action": [
            "Resource": "arn:aws:cloudformation:*:*:stackset/grandcentral*"
            "Sid": "OrganizationList",
            "Effect": "Allow",
            "Action": [
            "Resource": "*",
            "Condition": {
                "ForAllValues:StringLike": {
                    "organizations:ServicePrincipal": [

IAM Policy - Grand_Central_IAM_Policy.json
Grand Central Policy for Master Account :
- [GCPolicy_Rev2.json] https://github.com/amiracle/grand_central/blob/master/aws_artifacts/IAM_Policy/GCPolicy_Rev2.json
Use this policy to setup and deploy Grand Central in a Control Tower / AWS Organization deployment. This will use StackSets to deploy configuraiton changes to sub accounts in AWS.

Individual Account IAM Policy (Optional)

If you are going to use individual accounts and policies in each account, use this IAM policy.
Grand Central Policy for Individual AWS Accounts :

Setting up Grand Central

Adding Master Account
Log into the Grand Central App and navigate to the Accounts Section (Configure Data Sources -> Amazon Web Services -> Grand Central Accounts).


Click on the “New Organization Master Account” button:

Add the Master Account ID (must be a number) access key / secret key to Splunk:

The Master Account should now show up in Splunk:

Once the Master Account has been added, now you should be able to view the accounts in the organization. Under Actions, navigate to the List All Accounts in the dropdown:

List of all the accounts:

In order to add the discovered accounts into Splunk, select "Add Accounts in Organization to Grand Central" in the Actions dropdown:

Click on the Add Button:

All the accounts should now show up under management in Splunk:

Splunk Endpoints
Now, add the destination where you will be sending your data. This is typically a Firehose endpoint on your Splunk Cloud Deployment.
Here is an example of how you should fill out the fields:
Note that if you are using Splunk Cloud the URL for your firehose endpoint should look like this:


BYOL Cloud Deployments


AWS Stacksets
Define your AWS Stackset here in Splunk. What will happen is as new accounts are vended into Organizational Units (OU's), they will automatically have these configurations sent to the newly AWS Accounts. Addiontally, if an existing account is moved into an OU, it will be configured with these settings.

Example : Account 987654321 is in the Core OU after being provisioned, then gets moved into the DevOps OU, the AWS Stackset "grandcentralCloudTrail" will deploy in that account and setup the CloudTrail data collection.

Deploy an AWS Stackset

Your Splunk Accounts should look like this when you're done:

Pro Tip : For now, create a Splunk HEC token for each sourcetype. E.g. aws:cloudtrail for CloudTrail, aws:config for Config, and aws:cloudwatchlogs:vpcflow for VPCFlow Logs

The legacy Bulk Data Deployment system still works if you do not want to use AWS Stacksets and would rather use Access Key / Secret Keys for each of your accounts. Just follow the steps for the Bulk Credential Upload or set up each account individually. Now you can deploy data collection to all these accounts, click on the Bulk Deployment button and select your accounts, regions, destination and data source:

Click Deploy.
Splunk will communicate with AWS and begin deploying the CloudFormation templates in all the accounts and regions you've selected:
In the Observation Deck dashboard you will see the successfully deployed Accounts and Regions:

# Binary File Declaration
## Terraform
- Binary and Checksum: https://releases.hashicorp.com/terraform/0.12.19/
- Source Code: https://github.com/hashicorp/terraform

Release Notes

Version 3.0.7
April 8, 2021

Updated the AWS well-architected tool client's HTTP User-Agent string.

Version 3.0.5
Jan. 30, 2021
Version 3.0.4
Dec. 21, 2020
Version 3.0.3
Dec. 8, 2020
Version 2.0.2
July 29, 2020
  • Python 2 Only
  • Splunk Cloud Vetted
  • Cloud Coverage: AWS
  • Would work in 8.0 if you force app to run in Python 2 mode

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