Kafka Partition Skew
If your partition key is poorly chosen, one consumer will do 90% of the work. We use load-based rebalancing and key-salting to redistribute the load.
Identify and fix uneven partition distribution. How to handle hotspots when using Keyed-Producers.
If your partition key is poorly chosen, one consumer will do 90% of the work. We use load-based rebalancing and key-salting to redistribute the load.
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Engineering Manager and backend engineer with 10+ years building distributed systems across fintech, enterprise SaaS, and startups. CodeSprintPro is where I write practical guides on system design, Java, Kafka, databases, AI infrastructure, and production reliability.
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Kafka Rebalance Storms: Mastering Consumer Group Stability In a high-scale Kafka deployment, a Consumer Group Rebalance is often the most feared event. During a traditional rebalance, all consumers stop processing messag…
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Kafka Internals: The Quest for 10M msg/sec Apache Kafka is often described as a distributed streaming platform, but its heart is a Distributed Commit Log. Its ability to handle massive throughput with sub-millisecond lat…
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Kafka Internals: The Quest for 10M msg/sec Apache Kafka is often described as a distributed streaming platform, but its heart is a Distributed Commit Log. Its ability to handle massive throughput with sub-millisecond lat…
Kafka Rebalance Storms: Mastering Consumer Group Stability In a high-scale Kafka deployment, a Consumer Group Rebalance is often the most feared event. During a traditional rebalance, all consumers stop processing messag…
Kafka Internals: The Secret to 10M+ Messages/Sec Apache Kafka is often described as a distributed streaming platform, but at its heart, it is a distributed commit log. Its ability to handle millions of messages per secon…
Kafka Consumer Rebalancing: Surviving the Storm Consumer Group Rebalancing is one of the most common causes of latency spikes in Kafka-based systems. During a rebalance, consumers stop processing messages to redistribute…
Category-based suggestions if you want to stay in the same domain.
Part 4: The Transactional Outbox The Dual Write Problem occurs when you update your DB and then try to send an event to Kafka. If the Kafka send fails, your DB and downstream systems are out of sync. 1. The Solution Writ…
Exactly-Once: The Mathematical Impossibility Exactly-once processing is impossible in a distributed system because you cannot guarantee the delivery of the (acknowledgement) over an unreliable network. 1. The Two General…
Kafka Consumer Groups Explained In a production environment, a single consumer is often not enough to handle the volume of data flowing through a Kafka topic. Consumer Groups are the primary mechanism for scaling consump…