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Illumio Segmentation for the Cloud User Guide

Licensing and Usage for Illumio

Illumio offers two products: 

  • Illumio Insights

  • Illumio Segmentation

Each Illumio product is available as a standalone, subscription-based license priced per workload. Every Illumio customer will require a standalone license, The standalone license allows you to consume the product as a SaaS offering, deploy it in an on-premises environment, or operate in a hybrid deployment model.

Products

License

Deployment Option

Includes

Applicable Workloads in your environment

Illumio Insights

Standalone

SaaS

  • Traffic Flow Based Insights

  • AI Agents 

  • Illumio Virtual Advisor

  • Integrations

  • Data Center Resources 

  • User Endpoints 

  • Cloud Resources

Illumio Segmentation

Standalone

SaaS or on-prem

  • Policy Authoring

  • Enforcement 

  • Quarantine 

  • Illumio Virtual Advisor

  • Integrations

  • Data Center Resources

  • User Endpoints 

  • Cloud Resources (SaaS deployment only)

Illumio Workloads

Each standalone license usage is measured by the number of Illumio Workloads (WL) across all of your environments – cloud, data center, and user endpoint. Illumio Workloads are calculated based on the resource count and the conversion ratio into workload for the different resource types in your environment.

Cloud Resources

Resource Type

Description

AWS

Azure

GCP

Cloud Virtual Machine

A single virtual machine in the public cloud, including nodes in a container cluster and VMs part of a scaling group.

AWS::EC2::Instance

Microsoft.Compute/virtualMachines 

Microsoft.Compute/virtualMachineScaleSets/virtualMachines

compute#instance

Cloud Databases

A CSP-managed database

AWS::DocDB::DBInstance

AWS::DocDBElastic::Cluster 

AWS::MemoryDB::Cluster 

AWS::ElastiCache::CacheCluster 

AWS::RDS::DBInstance

AWS::Redshift::Cluster

Microsoft.Cache/Redis 

Microsoft.DBforPostgreSQL/flexibleServers 

Microsoft.DBforPostgreSQL/serverGroupsv2/servers 

Microsoft.DocumentDB/mongoClusters 

Microsoft.Sql/managedInstances 

Microsoft.Sql/servers 

Microsoft.DBforPostgreSQL/servers

sql#instances

Cloud Container Clusters

A managed container cluster

AWS::ECS::Cluster

AWS::EKS::Cluster

Microsoft.ContainerService/managedClusters

container#cluster

Other Cloud Network Interfaces[a]

The number of network interfaces minus the number of Cloud Virtual Machines and Cloud Databases.

AWS::EC2::NetworkInterface

Microsoft.Network/networkInterfaces

[a] Other Cloud Network Interfaces are calculated as Total Network Interfaces minus both Cloud Virtual Machines and Cloud Databases.  For example, given a cloud environment with 1000 cloud network interfaces, 400 cloud virtual machines, and 200 cloud databases, the other cloud network interfaces will be calculated as 1000-400-200 = 400

Data Center Resources

Resource Type

Description

Standard Server Windows and Linux Server Operating Systems

Number of Servers running non-legacy operating system.

See VEN OS Support and Package Dependencies on the Illumio Support portal.

Legacy Operating Systems

Servers running supported legacy operating systems: 

  • AIX 7.1 Technology Level 4 or greater 

  • AIX 7.2 Technology Level 3 or greater 

  • AIX 7.3 Technology Level 1 or greater 

  • AIX 6.1 Technology Level 9 

  • Red Hat Enterprise Linux (RHEL) 5 

  • Solaris 10 Update 8 or greater on Solaris x86 (64 bit) or SPARC (64 bit) architecture 

  • Solaris 11.1 or greater on Solaris x86 (64 bit) or SPARC (64 bit) architecture 

  • Windows Server 2003 

  • Windows Server 2008 pre-R2

Oracle Exadata Database

Oracle Exadata database instances

Kubernetes / OpenShift Nodes

All the nodes in a Kubernetes or OpenShift cluster when using Illumio Containerized VEN (C-VEN)

Switch Port

Number of managed IPs on a switch when using Illumio Network Enforcement Node (NEN)

Load balancer

Number of managed IPs on a switch Number of virtual IPs connected to a load balancer when using Illumio Network Enforcement Node (NEN)

IBM i-series LPAR

Number of IBM i-series LPAR (Logical Partition)

IBM zLinux IFL

Number of IBM zLinux Integrated Facility for Linux (IFL)

IBM zOS LPAR

Number of IBM zOS LPAR (Logical Partition)

User Endpoint Resource

Resource Type

Description

Endpoint

Count of virtual or physical desktops or laptops

Determining Resource Count

There are a couple of ways to estimate the cloud resource count in your environment:

  1. Run the cloud resource count script provided by your technical contact at Illumio.

  2. If you have onboarded your cloud subscription, you can view the actual resource count under the Usage page (see Usage).

Daily, Weekly, and Monthly Averages

Cloud resource counts are taken every hour. 

  • To calculate daily usage, the average of the hourly counts over the past 24 hours is used. The monthly average resource count is then calculated by averaging the daily usage values across all days in the month.

  • Because cloud resources can scale up or down throughout the day, using averages helps mitigate short-term usage spikes and reduces the risk of overage charges.

Data Center and Endpoint resources are metered daily. Their monthly average is calculated by summing the daily counts for the month and dividing them by the number of days.

If you have onboarded your cloud subscription, you can view the actual daily cloud-resource count under the Usage page (see Usage).

Note

Coming Soon: the Usage page will also display actual daily counts for data center and endpoint resources.

Example 1: Daily average calculation for cloud resources

Cloud VM count is metered every hour and recorded in the hourly table. For simplicity, this example assumes the hourly counts remain constant from 1 a.m. to 8 a.m. and 6 p.m. to 12 a.m.

Day 1

1:00 a.m. to 8:00 a.m.

9:00 a.m.

10:00 a.m.

11:00 a.m.

12:00 p.m.

1:00 p.m.

2:00 p.m.

3:00 p.m.

4:00 p.m.

5:00 p.m.

6:00 p.m. to 12:00 a.m.

Daily Average

Cloud VM

100

200

250

300

300

350

300

280

200

210

128

168

Daily Average count = (100 x 8 hours + 200 +250 + 300 + 300 + 350 + 300 + 280 + 200 + 210 + 120 x 7 hours)/24 = 4030 / 24 = 168 resources

Example 2: Monthly average calculation combining cloud, data center, and endpoint resources
  • Cloud VM count comes from the daily average calculation (illustrated in Example 1).

  • Standard Server and User Endpoint are metered daily.

  • For simplicity, this example assumes the daily count for Day 6 through Day 29 remains constant.

Monthly Average

Day 1

Day 2

Day 3

Day 4

Day 5

Day 6 - Day 29

Day 30

Monthly Average

Cloud VM

168

140

150

180

200

220

138

209

Standard Server

100

200

300

300

300

350

350

332

User Endpoint

500

550

600

650

700

750

750

725

Monthly Average count:

  • Cloud VM = (168 + 140 + 150 + 180 + 200 + 220 x 24 days + 138)/30 = 6256 / 30 = 209 (each day’s count comes from the daily average table)

  • Standard Server = (100 + 200 +300 + 300 + 300 + 350 x 24 days + 350)/30 = 9950 / 30 = 332 (count is taken daily)

  • User Endpoint = (500 + 550 + 600 + 650 + 700 + 750 x 24 days + 750 )/30 = 21750 / 30 = 725 (count is taken daily)

Note

If your Illumio deployment implementation is on premises, you will be asked to provide usage information to Illumio on a quarterly basis at a minimum.

Converting Resource Count to Illumio Workloads

After you determine the number of resources in your environment, lllumio Workloads (WL) are calculated using these the following conversion ratios:

Area

Resource Type

Conversion

Cloud

Cloud Virtual Machine

1 Virtual Machine = 1 Workload

Cloud Databases

1 Database = 1 Workload

Cloud Container Clusters

1 Cluster = 2 Workloads

Other Cloud Network Interfaces

10 Resources = 1 Workload

Data Center

Standard Windows and Linux Server Operating Systems

1 Standard OS = 1 Workload

Legacy OS

1 Legacy OS = 2 Workloads

Oracle Exadata Database

1 Database = 10 Workloads

Kubernetes / OpenShift Nodes

1 Host = 6 Workloads

Switch Port

1 MIP = 1 Workload

Load Balancer

1 VIP = 1 Workload

IBM i-series LPAR

1 LAR = 10 Workloads

IBM zLinux IFL

1 IFL = 15 Workloads

IBM zOS LPAR

1 LAR = 20 Workloads

User Endpoint

Endpoint

5 Endpoints = 1 Workload

Use the workload calculator on Illumio’s website or in the Usage page (see Usage) to convert your resource count into Illumio Workloads.  

workload_calc.png

Workload calculator on Usage page.

Data Ingestion

Every Illumio workload includes a predefined data-ingestion allowance based on the resource type:

  • Cloud resources: each workload includes 50MB per day of data ingestion.

  • Data Center resources: each workload includes 50MB of data traffic retention.

  • User Endpoint resources: each workload includes 50MB data traffic retention. Since a single workload can support up to five user endpoints, this equates to an average of 10MB of data traffic retention per endpoint.

Resource Coverage Expansion

Illumio continuously enhances its security coverage by adding support for additional resource types. When new resources are added to capabilities, they will be automatically included in your security coverage, which may increase your usage metrics and associated billing.

Tip

As a best practice, Illumio recommends that you review your usage dashboard regularly to manage your consumption effectively. Contact your Illumio account team with any questions about usage trends or billing impacts.