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UID:SESS-173@sf26-agenda
DTSTAMP:20261020T151709Z
DTSTART:20261104T231500Z
DTEND:20261105T000000Z
SUMMARY:Keeping the Balance with Kafka Streams
LOCATION:Room 2002
DESCRIPTION:Matthias Sax\n\nApache Kafka’s scalability and resilience dep
 end not just on its brokers\, but crucially on its client ecosystem—most
  notably\, Kafka Streams. Maintaining stability forces Streams application
 s to redistribute partitioned workloads during infrastructure shifts. Thes
 e rebalances are notorious for causing operational friction\, performance 
 degradation\, and unexpected downtime. KIP-1071 (Streams groups) introduce
 s a major evolutionary step towards resolving this friction. Built on the 
 foundation of next-generation consumer groups (KIP-848)\, Streams groups m
 ove task assignment to the broker side and enable fully incremental rebala
 ncing. The result is faster\, more stable\, and predictable coordination t
 hat fundamentally changes how Kafka Streams handles scaling in\, scaling o
 ut\, and failing over. In this talk\, we will dive into the core assignmen
 t logic\, specifically focusing on the performance of the new protocol\, i
 ts sticky task assignor\, and a direct comparison to classic rebalancing. 
 We will also explore a completely new incarnation of the high-availability
  assignor\, which is designed explicitly to allow smooth scaling out for s
 tate-heavy applications. You will see how this updated design provides a m
 uch cleaner architecture by decoupling warmup tasks from the actual assign
 ment logic and splitting the process into distinct assignment and reconcil
 iation phases. Join this session to learn about the latest advancements in
  Streams groups and gain the insights needed to migrate your production ap
 plications with confidence. You will walk away with a clear understanding 
 of how these new protocols minimize operational headaches and keep your st
 ream processing pipelines running smoothly.
URL:https://sf26.rmoff.net/s/keeping-the-balance-with-kafka-streams-173
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