Data Streaming Platform Playbook

Data streaming platforms promise real-time intelligence, decoupled systems, and event-driven innovation. Yet between the marketing promises and production reality lies a minefield of architectural decisions, governance challenges, and operational pitfalls that can derail initiatives. Topics can’t be renamed. Cluster links complicate exactly-once semantics. Dead letter queues become silent graveyards. Schema incompatibilities become poison pills. Each decision—naming conventions, topology, partition strategy, error handling—compounds into persistent technical debt.

This session equips architects and platform teams with a streaming-first playbook drawn from real-world deployments. It covers the core platform concerns that determine whether streaming becomes an enterprise-wide standard or an expensive science project. We’ll investigate holistic observability, monitoring, lineage, and error handling. Also, real-world constraints around high availability, governance, security, and integrations.

Attendees will leave with a cohesive mental model and actionable guidance for building robust, scalable, cost-conscious streaming platforms that survive production constraints and organizational reality.