Events Service Node Sizing Based on License Units

You can plan your hardware requirements with the data in the section. It describes recommended hardware configurations (in the context of Amazon EC2 instance types ) corresponding to the number of license entitlement units for Log and Transaction Analytics. See License Entitlements and Restrictions for details about license units for Log and Transaction Analytics.

For additional Events Service sizing information, see the following Splunk AppDynamics Community articles:

The hardware shown for each license amount represents the hardware capacity of a theoretical combined load of both Transaction Analytics and Log Analytics events. The numbers used were derived from actual tests that were performed with an uncombined load, from which the following numbers were extrapolated. Note that the test conditions did not include query load and so may not be representative of a true production analytics environment.

Note: The following table shows sizing recommendations and describes the size of the cluster used for testing. This does not mean you are limited to a seven-node event service. If you need to go beyond seven nodes, contact customer support to ensure proper sizing for your specific environment.

Note that the retention can be 8, 30, 60 or 90 days which will directly affect storage requirements.

Event TypeAWS Machine Instance Type
i2.2xlarge (61 GB RAM, 8 vCPU, 1600 GB SSD)i2.4xlarge (122 GB RAM, 16 vCPU, 3200 GB SSD)i2.8xlarge (244 GB RAM, 32 vCPU, 6400 GB SSD)
1 node3 nodes5 nodes 7 nodes1 node3 nodes5 nodes7 nodes1 node3 nodes5 nodes

Transaction Analytics license units

203744632241841135394120
Log Analytics license units71017191619324439116270

The following points describe the test conditions under which the license units-to-hardware profile mappings in the table were generated:

  • Average Log event size in bytes: 350
  • Average size of business transaction event: 1 KB
  • Tiers in business transaction: 3

The tests were conducted on virtual hardware and programmatically generated workload. Real-world workloads may vary. To best estimate your hardware sizing requirements, carefully consider the traffic patterns in your application and test the Events Service in a test environment that closely resembles your production application and user activity.