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DTSTAMP:20261020T151709Z
DTSTART:20261104T232000Z
DTEND:20261104T234000Z
SUMMARY:AutoMQ: Agent-Managed Diskless Kafka
LOCATION:Innovation Theater
DESCRIPTION:Xinyu Zhou\n\nKafka is costly to run partly because brokers own
  the data they serve. Teams must provision disks\, maintain replicas\, and
  move partition data as capacity changes. AutoMQ breaks that coupling: a w
 rite-ahead log (WAL) protects new writes\, retained data lives in shared o
 bject storage\, and brokers can scale or be replaced without copying parti
 tion history. We’ll explain how this diskless design reduces infrastruct
 ure and storage-management work\, and how Self-Balancing and Auto Scaling 
 respond to changing workloads. That simpler foundation also changes how th
 e cluster can be managed. Rather than building a complex control plane aro
 und broker-local state\, AutoMQ Software lets an AI agent use documented i
 nterfaces and cluster signals to plan\, carry out approved changes\, and v
 erify the results. We’ll show the diskless architecture first\, then dem
 onstrate the agent managing it through a concrete operational task. By att
 ending this session\, your contact information may be shared with the spon
 sor for relevant follow up for this event only.
URL:https://sf26.rmoff.net/s/automq-agent-managed-diskless-kafka-210
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