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DTSTAMP:20261020T151709Z
DTSTART:20261105T183000Z
DTEND:20261105T191500Z
SUMMARY:Serverless Kafka consumer applications and AI agents with AWS Lambd
 a
LOCATION:Room 2012
DESCRIPTION:Anton Aleksandrov\, Nihar Sheth\n\nBuilding Kafka consumers tod
 ay means running\, scaling\, and patching compute infrastructure yourself\
 , and writing your own retry\, poison-pill\, and observability plumbing. A
 WS Lambda's event source mapping for Apache Kafka removes that operational
  burden\, letting you process streams from AWS MSK\, self-managed Kafka\, 
 and Confluent Cloud with nothing more than function code. In this session\
 , see how to build low-latency\, high-throughput consumers that scale auto
 matically with partition lag\, decode and validate records against Conflue
 nt Schema Registry\, and cut cost by filtering JSON\, Avro\, and Protobuf 
 events before invocation. The same event-driven pattern can trigger AI age
 nts directly from your streams\, so events can kick off agentic workflows 
 without extra glue code. We cover tuning for throughput and latency\, exte
 nsive CloudWatch metrics and logs for consumer visibility\, and error hand
 ling patterns including retries\, bisect-on-error\, and on-failure destina
 tions for dead-letter queues. By attending this session\, your contact inf
 ormation may be shared with the sponsor for relevant follow up for this ev
 ent only.
URL:https://sf26.rmoff.net/s/serverless-kafka-consumer-applications-and-ai-
 agents-with-219
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