Hello everyone.
I'm currently managing a Kafka deployment and have encountered several challenges. One recurring issue is consumer lag, where consumers fall behind producers, leading to delayed processing. To address Kafka troubleshooting, I've considered adjusting fetch settings and scaling consumers, but the problem persists.
Another concern is under-repartitioned topics. Some topics don't have enough partitions, causing brokers to struggle with parallelizing workloads efficiently. I've thought about increasing partition counts, but I'm unsure about the potential impact on performance and stability.
Additionally, I'm facing broker overload situations, leading to high CPU usage and memory pressure. I'm contemplating redistributing partitions and optimizing broker resources, but I'd appreciate feedback on these approaches.
Has anyone experienced similar issues? What strategies have you found effective in troubleshooting and resolving these Kafka challenges? Any insights or recommendations would be greatly appreciated.
I'm currently managing a Kafka deployment and have encountered several challenges. One recurring issue is consumer lag, where consumers fall behind producers, leading to delayed processing. To address Kafka troubleshooting, I've considered adjusting fetch settings and scaling consumers, but the problem persists.
Another concern is under-repartitioned topics. Some topics don't have enough partitions, causing brokers to struggle with parallelizing workloads efficiently. I've thought about increasing partition counts, but I'm unsure about the potential impact on performance and stability.
Additionally, I'm facing broker overload situations, leading to high CPU usage and memory pressure. I'm contemplating redistributing partitions and optimizing broker resources, but I'd appreciate feedback on these approaches.
Has anyone experienced similar issues? What strategies have you found effective in troubleshooting and resolving these Kafka challenges? Any insights or recommendations would be greatly appreciated.