Countly VS Apache Kafka

* [Countly](https://countly.com/)

I suggest you use Countly, they have a free edition (Community) also its Self-hosted.

Happy cake day. Yeah, nowadays there are so many analytics variants out there: Swetrix, Plausible, offen, count.ly any many more.

Hello HN, founder of Countly (https://count.ly) here. As you might know, we are the creators of one of the first open-source product analytics platforms that has 10+ SDKs for mobile, desktop and web applications. We've been working on a new SaaS, myCountly, to help you launch your own Countly servers in any location, so your user data stays close to home.

We are going to do an alpha launch soon, and looking for alpha testers, please signup below if interested:

https://gocountly.typeform.com/to/ayGA2EOm

Some highlights of myCountly:

- Your dedicated, fully managed deployment(s), not a shared service

Is countly still operational? Can't connect to their website https://count.ly/

Countly (https://github.com/Countly/countly-server)

Always surprised more people don’t use countly. Runs nice in docker or digital ocean. https://count.ly. Been self hosting it for years with few issues.

Countly (website, GitHub) is also an open-source product analytics platform that is designed primarily for marketing organizations. It helps marketers track website information (website transactions, campaigns, and sources that led visitors to the website, etc.). Countly also collects real-time mobile analytics metrics like active users, time spent in-app, customer location, etc., in a unified view on your dashboard.

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