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Understanding Message Delivery: At-Most-Once, At-Least-Once, and Exactly-Once Semantics

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内容由Fatih Yavuz提供。所有播客内容(包括剧集、图形和播客描述)均由 Fatih Yavuz 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Dive into the world of Kafka message delivery semantics and discover how they impact distributed system reliability and performance.

In this episode, we explore:

  • The crucial differences between at-most-once, at-least-once, and exactly-once delivery
  • Real-world applications of each semantic, including a banking system scenario
  • How Kafka achieves exactly-once processing through transactions
  • The trade-offs between reliability, performance, and complexity in message delivery

Tune in to gain valuable insights that will help you make informed decisions about message delivery in your Kafka-based systems.

Want to dive deeper into this topic? Check out our blog post here: Read more

★ Support this podcast on Patreon ★
  continue reading

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Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on October 24, 2024 13:52 (3M ago)

What now? This series will be checked again in the next hour. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 438177427 series 3597921
内容由Fatih Yavuz提供。所有播客内容(包括剧集、图形和播客描述)均由 Fatih Yavuz 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Dive into the world of Kafka message delivery semantics and discover how they impact distributed system reliability and performance.

In this episode, we explore:

  • The crucial differences between at-most-once, at-least-once, and exactly-once delivery
  • Real-world applications of each semantic, including a banking system scenario
  • How Kafka achieves exactly-once processing through transactions
  • The trade-offs between reliability, performance, and complexity in message delivery

Tune in to gain valuable insights that will help you make informed decisions about message delivery in your Kafka-based systems.

Want to dive deeper into this topic? Check out our blog post here: Read more

★ Support this podcast on Patreon ★
  continue reading

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