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My system meets the minimum system requirements of Sentry
Steps to Reproduce
When the number of errors captured by my SDK is high, data delays occur. I suspect this is due to Kafka consumption not keeping up.
I’ve increased the maxBatchSize for postProcessForwardErrors, workerEvents, ingestConsumerEvents, outcomesConsumer, and replacer to 10,000. However, I’m still facing delays. Should I adjust the number of partitions for the topic? Below are my configurations:
Self-Hosted Version
24.9.0
CPU Architecture
x86_64
Docker Version
kubernetes
Docker Compose Version
kubernetes
Machine Specification
Steps to Reproduce
When the number of errors captured by my SDK is high, data delays occur. I suspect this is due to Kafka consumption not keeping up.
I’ve increased the
maxBatchSize
forpostProcessForwardErrors
,workerEvents
,ingestConsumerEvents
,outcomesConsumer
, andreplacer
to 10,000. However, I’m still facing delays. Should I adjust the number of partitions for the topic? Below are my configurations:Expected Result
The most recently processed event matches the one I captured in real-time.
Actual Result
The delay of the latest errors increases as the QPS grows higher.
Event ID
No response
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