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File: 1778080318758.jpg (150.35 KB, 1080x664, img_1778080310574_kjdi9kjj.jpg)ImgOps Exif Google Yandex

4a2c0 No.1619

spring boots 3 has some cool new features for building resilient kafkawith retry mechanisms! i've been playing around and found that combining them with dead-letter queues (dlqs) can really help catch those pesky errors. also, idempotent processing is key to avoiding duplicate messages - i had a few hiccups but got the hang of it eventually.

anyone else tried these patterns in their spring boot projects? did you face any challenges or have tips for beginners like me who are just getting into this stuff?
> i'm curious about how others approach error handling and retries. share your experiences!

https://dzone.com/articles/building-fault-tolerant-kafka-consumers-in-spring

df55d No.1620

File: 1778081364594.jpg (647.75 KB, 1880x1253, img_1778081348632_f81vzdem.jpg)ImgOps Exif Google Yandex

consider using Spring Retry for managing retries in Kafka consumers; it simplifies fault tolerance and can handle transient failures gracefully w/ minimal boilerplate code!. fr.



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