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on
07-10-2020
04:59 PM
- edited on
07-15-2022
12:01 AM
by
Claudia.Landiva
This guide provides context to EUM data and recommendations for sizing your on-premises EUM Server for different levels of network traffic (metrics per minute).
After understanding the EUM basic concepts, review the recommended sizing below for your on-premises deployment.
To deploy EUM successfully, you should understand Beacons and Resource Timing Snapshots. Learn more about them in the Understanding EUM and Events Service Concepts article.
The following tables recommend T-shirt sizing (S, M, L) for your on-prem EUM Server based on synthetic load testing. Once you have estimated your EUM traffic profile, you can use these maximum load measurement results to establish which T-shirt size is appropriate for your deployment.
If your EUM traffic profile exceeds the maximum traffic given in the tables, see the Extra Large Sizing Recommendations article.
For simplicity, the sizing recommendations for Browser RUM and Synthetic Monitoring are grouped together. If you are using the EUM Server with the Events Service, see Analytics On-Prem Configuration Recipe Book.
The sizing suggestions in the table below are based on one web beacon consisting of the following:
License type |
Identifying string
|
Event type:
|
Maximum Events
|
Disc usage:
|
Transaction Analytics | biz_txn_v1 | upsert | 1,000,000 events |
AVG 1.36 |
Log Analytics | log_v1 | publish | 5GB |
AVG 17.2* |
Browser Analytics | browserrecord | publish | 2,500,000 events |
AVG 3.59 |
Browser Analytics | sessionrecord | upsert | 2,500,000 events | AVG 3.52 STDEV 1.29 MAX 9.01 |
Mobile Analytics | mobilesnapshot | publish | 2,500,000 events |
AVG 3.25 |
Mobile Analytics | mobilesession |
upsert |
2,500,000 events |
AVG 2.70 |
Mobile crash report | mobilecrashreport | publish | 1,000,000 events |
AVG 3.68 |
The sizing suggestions in the “EUM Sizing for Mobile RUM” table are based on network traffic for iOS and Android applications sending one beacon consisting of the percentage of the data types listed below.
Data Types |
% of Beacon |
Network Request | 80% |
UI Interaction Capture | 10% |
Screenshots | 1% |
Touchpoints | 1% |
Breadcrumbs | 4% |
ANRs | 1% |
Code Errors | 1% |
Crash Reports | 0.02% |
Custom Timers | 0.01% |
Custom Metrics | 0.03% |
System Events | 0.04% |
Method Calls | 1.9% |
EUM Size |
Maximum Traffic |
Hardware |
Network Bandwidth |
Java Heap Size |
|
Small
|
Beacons |
90k < |
- CPU: 4 CPU |
750 Mbps |
11 GB |
Events | 70k | ||||
Sessions | 40k | ||||
Medium |
Beacons | 90-130k |
- CPU: 8 CPU |
1000 Mbps |
30 GB |
Events | 70-110k | ||||
Sessions | 40-61k | ||||
Large |
Beacons | 130-550k |
- CPU: 16 CPU |
2000 Mbps |
50 GB |
Events | 110k-3.5M | ||||
Sessions | 61-118k |
The sizing suggestions below are based on network traffic for IoT applications sending beacons for the following events:
EUM |
Maximum Traffic |
Hardware |
Network |
Java |
|
Small
|
Beacons | 110k < |
- CPU: 8 CPU |
759 Mbps |
10 GB |
Events | 500k | ||||
Medium |
Beacons | 110-300k |
- CPU: 8 CPU |
1000 Mbps |
22 GB |
Events | 500-600k | ||||
Large |
Beacons | 300-600k |
- CPU: 16 CPU |
2000 Mbps |
50 GB |
Events | 600k-1M |
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