))
Mastering Consumer Groups and Offsets in Data Streaming
Manage episode 438177431 series 3597921
Inhoud geleverd door Fatih Yavuz. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Fatih Yavuz of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
Dive into the world of Kafka consumer groups and offsets, essential components for building robust and scalable data streaming systems.
In this episode, we explore:
- Consumer groups: Learn how they enable parallel processing of messages, acting like teams of workers in a factory
- Offsets: Discover the crucial role of these "bookmarks" in tracking consumption progress and ensuring fault tolerance
- Rebalancing: Uncover the process that keeps your Kafka system running smoothly when consumers fail or new ones join
- Commit strategies and best practices: Gain insights into automatic vs. manual offset commits and tips for minimizing rebalancing impacts
Tune in for expert insights, practical analogies, and valuable tips to master these key Kafka concepts!
Want to dive deeper into this topic? Check out our blog post here: Read more
★ Support this podcast on Patreon ★35 afleveringen
Delen
