jr VS bucket4j

We have seen how to use JR in more advanced use cases, streaming quality random data with referential integrity. In the next part of this series, we will see how to use REST apis with JR. In the meanwhile, happy streaming!

Datagen is the de-facto standard to generate random data for Kafka. But customising what's generated is not something you can do in 30 seconds, and enabling compression is currently not an option with the managed connectors. So I decided to write a tool which you could use to easily start streaming random data to kafka in seconds, and that's why JR was born. With the help of some friends and colleagues we packed JR with a lot of features (and many more coming!)

-- Bucket4J

And many other APIs.

If you work with Java and need a rate-limiting in your project, please look to Bucket4j.

GitHub: https://github.com/bucket4j/bucket4j

Report about Bucket4j: https://www.youtube.com/watch?v=kG_hF7p7xYI

Thank you for your attention!

Hi everyone! I want to present the library to provide rate-limiting in Java. Bucket4J - this is the most popular library to provide rate-limiting in Java. I invite each person to familiarize themselves with Bucket4J. We have been working for more than 7 years for the community and we want to make the library and open-source better. Bucket4J is used in many other libraries, such as Kubernetes client, JHipster, Atlassian, Twitch4J, and other popular libraries. Now we are going to huge release 7.0 with many features, we will publish about that a little bit later (in a few weeks). I hope with your support, we will be glad to your any contribution/suggestions/ideas.

See https://github.com/vladimir-bukhtoyarov/bucket4j and https://github.com/cowwoc/token-bucket for alternatives.