Georg,  true there are two linger settings - I only mentioned one in the 
article whoops! Paul

From: Georg Friedrich <[email protected]>
Date: Wednesday, 11 February 2026 at 11:25 am
To: Brebner, Paul via users <[email protected]>
Subject: RE: Reduced message consumption on Kafka 4.1 compared to 3.9

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I indeed saw that the `linger.ms` default was changed for producers (as
said I didn't update the client libs yet).
But I was missing the fact that also the server side was now configured
using a linger value to write data to disk.

Thanks for the post nevertheless. :-)

Kind regards
Georg Friedrich


*From:* Brebner, Paul via users <[email protected]>

*Sent:* Tuesday, February 10, 2026 at 23:43

*To:* [email protected] <[email protected]>

*Cc:* Brebner, Paul <[email protected]>

*Subject:* RE: Reduced message consumption on Kafka 4.1 compared to 3.9


> Yes, this has caught a few people out, see my blog:
> https://urldefense.com/v3/__https://www.linkedin.com/pulse/increased-lingering-apache-kafka-40-can-increase-latency-paul-brebner-z7qlc/?trackingId=wDlmi2cTSxmAw8KDTv2Tew*3D*3D__;JSU!!Nhn8V6BzJA!WedvwwsrKYJ2D7aMexKaAPRi-jYpSPAe_kngIaK9sGOLZqzjNlgWqXukb4O8y3-ntFkfrjt8_Ucq3NlMh3Pr$
>
> Regards, Paul
>
> From: Radu Radutiu <[email protected]>
> Date: Wednesday, 11 February 2026 at 12:23 am
> To: [email protected] <[email protected]>
> Subject: Re: Reduced message consumption on Kafka 4.1 compared to 3.9
>
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>
>
>
> There was a previous message on the list regarding increased latency on
> upgrade to Kafka 4.0. I believe the cause was:
> "The batching interval defaults to 5 ms and is controlled by the `
> group.coordinator.append.linger.ms` broker config option.". Try lowering
> this and see if it helps.
>
> Radu
>
> On Tue, Feb 10, 2026 at 2:17 PM Georg Friedrich <[email protected]> wrote:
>
>> Hey everyone,
>>
>> I have a question in regards to the message consumption rate on Kafka 4.1.1
>> Recently I've updated a Kafka cluster from version 3.9.1 to 4.1.1
>> (just the cluster was updated - the client libraries are still on
>> version 3.9.1).
>> This cluster was already using KRaft, so the update was very much
>> straight forward by just updating the version.
>> After the upgrade though I've observed that the message rate by a
>> (previously already very busy) Kafka consumer nearly halved.
>>
>> I have mitigated the problem for now by putting more parallel
>> consumption on it, but I'm wondering whether this is an expected thing
>> or whether there was any change to Kafka that I'm unaware of.
>> What should be known here is that each of my consumed messages is
>> doing an in-sync manual offset commit. I know that this is not an
>> ideal scenario to have a large throughput (e.g. using async commits or
>> batched commits even).
>> All I want to raise here is that the situation got worse compared to
>> the version 3.9 and I'm wondering why that is.
>>
>> Additionally to note here is, that the offset replication factor is
>> set to 3 and the min in-sync replicas is set to 2.
>> Not sure if this is somehow connected and previously the offset commit
>> already returned when one replica returned an ack and this now has
>> changed (just guessing here).
>>
>> In any case I'm happy to hear your thoughts on this and thanks so much
>> in advance.
>>
>> Kind regards
>> Georg Friedrich
>>

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