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Mastering Consumer Groups and Offsets in Data Streaming

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When? This feed was archived on January 21, 2025 12:35 (11M ago). Last successful fetch was on October 24, 2024 13:52 (1y ago)

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What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 438177431 series 3597921
Indhold leveret af Fatih Yavuz. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Fatih Yavuz eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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 ★
  continue reading

35 episoder

Artwork
iconDel
 

Arkiveret serie ("Inaktivt feed" status)

When? This feed was archived on January 21, 2025 12:35 (11M ago). Last successful fetch was on October 24, 2024 13:52 (1y ago)

Why? Inaktivt feed status. Vores servere kunne ikke hente et gyldigt podcast-feed i en længere periode.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 438177431 series 3597921
Indhold leveret af Fatih Yavuz. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Fatih Yavuz eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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 ★
  continue reading

35 episoder

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