AWSAmazon Web Services Setup Guide

Table of Contents

Request AMIs to Deploy in AWS

Exabeam has created Amazon Machine Images (AMIs) to deploy your solution. To request access to the AWS image files, visit the Virtual Images section in the Exabeam Community. You will need to provide the following information:

  • Customer email address

  • AWS customer account number

  • AWS region of deployment

  • Exabeam product to be deployed

Note

Please review all specifications for your deployment and ensure you have sufficient resources (CPU, memory, and storage across all the instances that will be deployed in your account) to deploy the Exabeam AMIs. Additionally, please ensure you have valid Exabeam licenses for the product(s) you will implement.

Exabeam Platform Specification Table for Virtual Platforms

These are the minimum operating specifications needed to run your Exabeam product. We do not support hybrid deployments (cross environment deployments). All nodes must be in the same subnet.

Be aware that vCPU is not the same as the number of CPUs or Cores for the processor. A vCPU is typically equal to the number of threads in the processor. Also, a hard drive GiB unit (used in AWS) is fractionally larger than a standard GB (1 GiB ~ 1.074 GB).

The tables below details the CPU and memory allocation required for Exabeam products to operate optimally, with the following provisioned:

  • The host is not shared with any other product or resource

Advanced Analytics Node Type

AWS

Advanced Analytics Master Node

Instance type: r4.16xlarge

Core: 64 vCPU

Memory: 488 GiB (~ 523 GB)

Storage: Our AMI allocates the following hard-drives:

  • 1 x 120 GiB GP2 (SSD)

  • 3 x 894 GiB GP2 (SSD)

  • 6 x 1860 GiB GP2 (SSD)

Advanced Analytics Worker

Incident Responder Node

Instance Type: r4.4xlarge

Core: 16 vCPU

Memory: 122 GiB (~ 130 GB)

Storage: Our AMI allocates the following hard drives:

  • 1 x 120 GiB GP2 (SSD)

  • 3 x 894 GiB GP2 (SSD)

  • 6 x 1860 GiB GP2 (SSD)

Table 1. Advanced Analytics Node Specifications


Node Type in Exabeam Cluster

AWS

Before I32*

Data Lake Master

Data Lake Worker Nodes

Instance type: r4.4xlarge

Core: 16 vCPU Memory: 122 GiB

Storage: Please ensure you follow the ordering of storage disks as listed below. Our AMI allocates the following hard-drives:

  • 1 x 150 GiB GP2 (SSD)

  • 2 x 2000 GiB GP2 (SSD)

  • 9 X 2000 GiB ST1 (HDD)

I32 or higher

Data Lake Master

Data Lake Worker Nodes

Instance type: r4.8xlarge

Core: 32 vCPU Memory: 244 GiB

Storage: Please ensure you follow the ordering of storage disks as listed below. Our AMI allocates the following hard-drives:

  • 1 x 150 GiB GP2 (SSD)

  • 2 x 2000 GiB GP2 (SSD)

  • 9 X 4 000 GiB ST1 (HDD)

Table 2. Data Lake Node Specifications


(* If you have an existing Data Lake deployment of 20 nodes or below, we will continue to support the older sizing for up to i32 only. Please contact the Exabeam Technical Account Manager for your team for any questions. )

For clusters with 21 nodes or more, an additional three management nodes are required for cluster management operations, health monitoring and other critical functions.