BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//sf26-agenda//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:SESS-60@sf26-agenda
DTSTAMP:20261020T151709Z
DTSTART:20261105T223000Z
DTEND:20261105T231500Z
SUMMARY:The Other Side of Event Streaming Nobody Talks About
LOCATION:Room 2006
DESCRIPTION:Sugam Sharma\n\nOrganizations have made significant progress in
  simplifying messaging infrastructure through managed Kafka services\, clo
 ud-native event platforms\, and fully managed message brokers. However\, m
 any teams discover that eliminating broker management does not eliminate t
 he complexity of building production-ready streaming applications. The rea
 l operational burden often shifts elsewhere: stream processors\, connector
 s\, schema management\, observability\, CI/CD pipelines\, state management
 \, multi-environment deployments\, security controls\, and the day-to-day 
 maintenance required to keep streaming systems reliable at scale. As a res
 ult\, engineering teams spend considerable effort managing infrastructure 
 and integration layers instead of delivering business outcomes. This sessi
 on examines the operational realities of modern streaming architectures ba
 sed on lessons learned from production deployments across mobility\, IoT\,
  logistics\, and enterprise data platforms. We will break down the complet
 e streaming stack and identify where teams continue to experience friction
  even after adopting managed Kafka offerings. Attendees will learn common 
 architectural patterns used to simplify streaming application development\
 , including unified deployment models\, event-driven processing frameworks
 \, reusable transformation pipelines\, and cloud-native operational practi
 ces. We will compare traditional approaches where multiple tools are requi
 red for ingestion\, processing\, monitoring\, and deployment against newer
  streaming-native platforms that treat data pipelines as deployable applic
 ations. The session will also explore practical considerations such as cos
 t optimization\, observability strategies\, developer productivity\, and g
 overnance in large-scale streaming environments. Through real-world exampl
 es\, we will demonstrate how organizations reduced operational overhead\, 
 accelerated delivery cycles\, and improved reliability while processing hi
 gh-volume event streams. Whether you are running Kafka today or planning y
 our next-generation event streaming architecture\, this talk will provide 
 a practical framework for evaluating where complexity truly exists and how
  to build systems that allow engineering teams to focus on business logic 
 rather than infrastructure management. Audience Takeaways Understand where
  operational complexity exists beyond Kafka brokers. Learn architectural p
 atterns for production-grade streaming applications. Evaluate tradeoffs be
 tween assembling multiple tools and adopting unified platforms. Improve de
 veloper productivity\, observability\, and operational efficiency. Apply p
 ractical lessons from real-world streaming deployments with Condense. By a
 ttending this session\, your contact information may be shared with the sp
 onsor for relevant follow up for this event only.
URL:https://sf26.rmoff.net/s/the-other-side-of-event-streaming-nobody-talks
 -about-60
END:VEVENT
END:VCALENDAR
