Artwork

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.
Player FM - Podcast-app
Gå offline med appen Player FM !

Message Broker Showdown: Kafka vs RabbitMQ - Comparing Popular Messaging Systems

12:19
 
Del
 

Arkiveret serie ("Inaktivt feed" status)

When? This feed was archived on January 21, 2025 12:36 (11M ago). Last successful fetch was on October 02, 2024 14:16 (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 437390525 series 3596741
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 distributed systems as we compare two popular message brokers: Kafka and RabbitMQ. Discover which technology is best suited for your project's needs.

In this episode, we explore:

  • The unique architectures and strengths of Kafka and RabbitMQ
  • How these technologies handle scalability, performance, and data persistence
  • Best practices for implementation and common pitfalls to avoid
  • Real-world examples of companies leveraging these message brokers

Tune in for expert insights on choosing the right message broker for your next big data project or event-driven architecture.

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

★ Support this podcast on Patreon ★
  continue reading

8 episoder

Artwork
iconDel
 

Arkiveret serie ("Inaktivt feed" status)

When? This feed was archived on January 21, 2025 12:36 (11M ago). Last successful fetch was on October 02, 2024 14:16 (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 437390525 series 3596741
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 distributed systems as we compare two popular message brokers: Kafka and RabbitMQ. Discover which technology is best suited for your project's needs.

In this episode, we explore:

  • The unique architectures and strengths of Kafka and RabbitMQ
  • How these technologies handle scalability, performance, and data persistence
  • Best practices for implementation and common pitfalls to avoid
  • Real-world examples of companies leveraging these message brokers

Tune in for expert insights on choosing the right message broker for your next big data project or event-driven architecture.

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

★ Support this podcast on Patreon ★
  continue reading

8 episoder

Alle episoder

×
 
Loading …

Velkommen til Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Hurtig referencevejledning

Lyt til dette show, mens du udforsker
Afspil