Apache Kafka VS Matomo

Apache Kafka — a distributed event streaming platform implementing a variant of the Raft consensus protocol (written in Java, integrated with Scala);

Spring does this during autoconfiguration. For example this and this. When the user adds a configuration then it gets to overwrite the default from the template. I am looking for something similar, perhaps simpler approach.

Source and documentation on GitHub

Code is still in trunk though. https://github.com/apache/kafka/tree/trunk/connect/file/src/main/java/org/apache/kafka/connect/file

I briefly described the algorithm in this article and there is a wonderful article from Kafka that goes into more depth in their general purpose implementation. My implementation is specialized and over optimized in comparison, e.g. by using bit manipulation to avoid more expensive division/modulus instructions. Tokio rewrote their timerwheel after I showed them mine, borrowing some ideas but also staying more general. Hope that helps!

Apache Kafka

Matomo just released their major v5 upgrade with following key improvements:

There are many good, lightweight, and open-source alternatives to Google Analytics, such as Plausible, Matomo, Fathom, Simple Analytics, and so on. Many of these options are open-source, and can be self-hosted.

You can for example use analytics that aren't spyware, and hence don't even have to try to trick users giving "consent" to things they don't really want.

Seriously: what share of people actually want their behavior to be tracked for ad companies to make more money?

https://matomo.org/

Matomo is a GDPR-compliant and open-source analytics platform. You can either host it yourself or use Matomo’s hosted version. https://matomo.org/

I tried the self-hosted version of Matomo [1][2] a few years back but I remember it was a bit underwhelming for the effort required to set it up.

https://matomo.org

It seems like you just want a self hsoted google analytics. Theres Plausible , Matomo and Umami for that.