NXLog Docs

EPS (Events Per Second)

What is EPS or events per second?


EPS is the standard unit of measurement for log processing speed, i.e., how many events an application can process in one second. In other words, it is a measurement used in IT to define the number of events that go in or out of a system in a given time.

EPS can run into tens of thousands of events per second on large networks. As a result, some SIEM solutions base their pricing on the EPS ingestion rate.

In the world of NXLog

Events Per Second (EPS) is a standard metric for evaluating log collection and management tools like NXLog. However, it is important to remember that the EPS rate depends on many factors besides the log collection software. Therefore, calculating the EPS rate is much like calculating network bandwidth or throughput; the two even overlap slightly.

It is nice to say that you have a gigabit network. Still, if you want to copy a file from one server to another, a few other factors come into play, covering all layers of the OSI model. You must consider if your network interface card, OS, CPU, and storage on both ends support the speed to read and write the data. In addition, it highly depends on the data you are transferring; whether it’s 40 GB worth of family pictures or a single virtual disk file makes a big difference.

Dealing with EPS is similar. The speed depends on what kind of logs you are transferring, the transport protocol, and the processing you have configured NXLog to do. For example, are the logs compressed or encrypted along the way? Are you sending them over TCP, UDP, or HTTP(S)? Are logs transferred in batches or one record at a time? In addition, benchmarking EPS throughput must be performed in a similar environment to your production. Even then, it is challenging to forecast what will happen in real life.

Given the many variables that affect log transfer and processing speed, the upside of NXLog is that it gives you the flexibility to optimize the configuration to achieve the best performance possible for your use case.

Known as

event rate, EPS rate, events per second rate, flows per minute


Processing logs
Forwarding and storing logs
Reliable message delivery
Compression and Encryption
Optimizing the configuration

A   B   C   D   E   F   G   H   I   J   K   L   M   N   O   P   R   S   T   U   V   W   X   Z