Комментарии:
Great video! I really like your conclusion and final comments. I have been working with Kafka a lot this year and event driven is definitely complex.
ОтветитьThis is great, thank you. It would be really helpful to talk about what issues might lead to a message getting retried and how that might dictate deciding on X number of retry topics.
ОтветитьThank you for sharing @Daniel
Ответитьif handson is also there it would have been better,cant get most out of it
ОтветитьAny code or only this. Anybody can write code but only some can talk
ОтветитьGreat video! I'm interested in the design and would like to dive a little bit, we usually would have different schedule retry in 2nd/the 3rd topic, for example, we want to retry 2nd time after 5 mins/3rd retry after 10mins, but Kafka didn't support a delay queue, how should the producer handle produce a 2nd/3rd retry event so it can be executed with scheduled waiting time?
ОтветитьHi Daniel great video indeed. I have a question. How can we manage if there is any unhandled exception? If we handle the exception then we can send to retry topic.
ОтветитьGreat video! Would love to get your take on using Kafka vs AWS SNS / SQS.
It would be great if kafka had a built in retry mechanism (one that does not require additional topics) and once that fails then it's moved to a DLQ.
Hi ,how can we handle persistent error in producer side with spring cloud stream
ОтветитьThanku Sir🙏
ОтветитьGreat video
ОтветитьAwesome it cleared up my questions around how to handle retries using a event streaming platform like Apache Kafka and thank you for part 2, where you went into how to keep ordering. Again amazing videos!!!!
ОтветитьThanks for sharing 👍. I have a question for waiting time in retry topic. how to config it. Thanks
ОтветитьReally wanted to implement a monolith after all of that lol
ОтветитьAwesome. Thanks for posting
ОтветитьGreat video
ОтветитьPart 2 is uploaded so after you watch this one be sure to check it out. Link is at the end of the video
ОтветитьI agree. You can use this kind of implementations. But you should be also careful when you retry. Because you can loose the order and some stale data could be happen.
I have a question . How you can handle , exception occurs when you try to send retry topic ?
Nicely explained - I really liked the presentation :)
ОтветитьGreat video. I would just add one small thing to the retry mechanism: think about event order! Do you really want to consume event 5 after consumer event 7? In many cases, if you already consumed event 7, for example, to update an entity copy in a microservice, all that you need is to discard event 5. To do so, you need to record the id/offset of the last event successfully processed.
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