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Introduction The journey towards efficient parallelization in library development has often been based on using threads. As Karafka celebrates its eighth anniversary, it's become clear that while threads have served us well for many tasks, there's room to explore further. That's why I've decided to introduce forking capabilities into Karafka, aiming to offer another dimension of parallelization to

RubyKaigi 2018 has ended, but the excitement is still fresh. After 25 hours in planes, trains, buses, and cabs we’re finally home. I guess it’s a good time to summarize and review 4 days on the best Ruby conference in the world. Castle.io support First of all, I would like to express special thanks to Castle.io for backing me up, providing me possibility to go to RubyKaigi and for their ongoing Ka

Note: These release notes cover only the major changes. To learn about various bug fixes and changes, please refer to the change logs or check out the list of commits in the main Karafka repository on GitHub. Time passes by, Kafka is already 1.0 and Karafka is already 1.1. Code quality I will start from the same thing as with 1.0. We're constantly working on having a better and easier code base. A