Enterprise Reporter 3.2.2 - Installation and Deployment Guide

Table 17. Discovery Types
Discovery Type	Task Breakdown
Active Directory®	Each domain, or per object type by domain
Azure Active Directory	Each tenant
Azure Resource	Each tenant
Computer	Each computer
Exchange®	The Exchange Organization, or per object type, or per object type per server
Exchange Online™	The Office 365 tenant
File Server Analysis	Each computer
Microsoft SQL	Each computer
Microsoft Teams	Each tenant
NTFS	Each computer or per share by computer
OneDrive	Each tenant
Registry	Each computer

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Optimize Node Setup

Two of the most common questions are, “What nodes do I deploy?’ and, “What computer specifications do I need?” To determine the answers to these questions, we typically look at the following criteria.

What discoveries need to be run? (Active Directory, NTFS, Office 365, and so on)

Each discovery has its own performance influences and setup considerations as outlined by the tables in this section.

How many objects need to be collected for each discovery?

The number of objects determines whether the setup should accommodate a small, medium, or large collection as outlined by the tables in this section.

Where are the objects located across the network?

The location of the objects impacts the setup of each type of discovery differently as outlined by the tables in this section.

The following sections outline considerations when optimizing node setup for each type of discovery.

Active Directory Discoveries: Node Setup

Active Directory collections are sequential and create heavy network traffic as they query the domain controller so the network connection to the domain controller is the primary concern. Locating the node close to the domain controller is recommended. Choose a domain controller close to your node when you configure the discovery. Technical Documentation.

For more information, see Choosing your Active Directory Scopes.

The CPU benchmarks of the node computer affect the threading capability so it is a secondary concern.

Typically, an organization with one domain only needs one node. Additional nodes usually only help optimize concurrent collection when there are multiple domains.

Table 18. Node Considerations for Active Directory Discoveries
	Performance Influences
# Objects	Network Bandwidth	RAM	Disk Speed	CPU	# Nodes Needed	Discovery Settings
Small < 100K 1 domain	Primary Concern	No Concern	No Concern	Secondary Concern	1
Medium 100K - 500K 1 domain	Primary Concern	No Concern	No Concern	Secondary Concern	1
Large 500K - 1M 1 domain	Primary Concern	No Concern	No Concern	Secondary Concern	1	•break single discoveries by object type •use one discovery per object type combined with schedules

Azure Active Directory and Azure Resource Discoveries: Node Setup

Azure Active Directory collections are sequential and create heavy network traffic as they query Azure. Ensuring the node machine has optimal network bandwidth is the primary concern. The CPU benchmarks of the node computer affect the threading capability, so it is a secondary concern. Typically, an organization with one tenant only needs one node.

Table 19. Node Considerations for Azure Active Directory and Azure Resource Discoveries
	Performance Influences
# Objects	Network Bandwidth	RAM	Disk Speed	CPU	# Nodes Needed
Small < 100K 1 tenant	Primary Concern	No Concern	Tertiary Concern	Secondary Concern	1
Medium 100K - 500K 1 tenant	Primary Concern	No Concern	Tertiary Concern	Secondary Concern	1
Large 500K - 1M 1 tenant	Primary Concern	No Concern	Tertiary Concern	Secondary Concern	1

Computer Discoveries: Node Setup

Computer collections are sequential and create heavy network traffic as they query each local computer. Ensuring the node machine has optimal network bandwidth is the primary concern.

Table 20. Node Considerations for Computer Discoveries
	Performance Influences
# Objects	Network Bandwidth	RAM	Disk Speed	CPU	# Nodes Needed
Small < 5K	Primary Concern	No Concern	Secondary Concern	Tertiary Concern	1 - 3
Medium 5K - 10K	Primary Concern	No Concern	Secondary Concern	Tertiary Concern	3 - 8
Large > 10K	Primary Concern	No Concern	Secondary Concern	Tertiary Concern	8 - 10

File Storage Analysis Discoveries: Node Setup

Table 21. Node Considerations for File Storage Analysis Discoveries
		Performance Influences
# Targets	# Files / Computer	Network Bandwidth	RAM	Disk Speed	CPU	# Nodes Needed
Small 1 - 10 Computers	< 2M	Primary Concern	Secondary Concern	No Concern	Secondary Concern	1 - 3
Medium 1 - 10 Computers	< 20M	Primary Concern	Secondary Concern	No Concern	Secondary Concern	3 - 9
Large > 10 Computers	> 20M	Primary Concern	Secondary Concern	No Concern	Secondary Concern	10

Microsoft SQL Discoveries: Node Setup

Table 22. Node Considerations for Microsoft SQL Discoveries
	Performance Influences
# SQL Servers	Network Bandwidth	RAM	Disk Speed	CPU	# Nodes Needed
Small 1 - 3	Primary Concern	Tertiary Concern	Secondary Concern	No Concern	1
Medium 3 - 5	Secondary Concern	Primary Concern	Tertiary Concern	No Concern	2
Large > 5	Secondary Concern	Primary Concern	Tertiary Concern	No Concern	> 3

NTFS Discoveries: Node Setup

The most important guideline is to collect only the information required. For example, most files have inherited permissions so, typically, collecting folder permissions is sufficient.

By default, NTFS discoveries, will create multiple tasks (one task per share) to improve performance. If disk speed is slow, network bandwidth is low, or there is only one node, disable this performance option.

Table 23. Node Considerations for NTFS Discoveries
	Performance Influences
# Objects	Network Bandwidth	RAM	Disk Speed	CPU	# Nodes Needed	Discovery Settings
Small 0 - 5M	Secondary Concern	Tertiary Concern	Primary Concern	No Concern	1 - 3
Medium 5M - 100M	Secondary Concern	Tertiary Concern	Primary Concern	No Concern	3 - 6
Large 100M - 1B multiple shares	Secondary Concern	Tertiary Concern	Primary Concern	No Concern	6 - 10¹	•use multiple tasks option unless slow disk speed, low network bandwidth, or one node

Office 365 Discoveries: Node Setup

These considerations apply to Exchange Online, Microsoft Teams, and OneDrive discoveries.

OneDrive can be divided into multiple discoveries to increase collection speed. If Microsoft throttling is often an issue, the use of multiple credentials can help minimize throttling.

Table 24. Node Considerations for Office 365 Discoveries
	Performance Influences
# Objects	Network Bandwidth	RAM	Disk Speed	CPU	# Nodes Needed
Small	Primary Concern	No Concern	Tertiary Concern	Secondary Concern	1
Medium	Primary Concern	No Concern	Tertiary Concern	Secondary Concern	1
Large	Primary Concern	No Concern	Tertiary Concern	Secondary Concern	1

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Enterprise Reporter 3.2.2 - Installation and Deployment Guide

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