The Other Side of Event Streaming Nobody Talks About

Organizations have made significant progress in simplifying messaging infrastructure through managed Kafka services, cloud-native event platforms, and fully managed message brokers. However, many teams discover that eliminating broker management does not eliminate the complexity of building production-ready streaming applications.

The real operational burden often shifts elsewhere: stream processors, connectors, 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 result, engineering teams spend considerable effort managing infrastructure and integration layers instead of delivering business outcomes.

This session examines the operational realities of modern streaming architectures based on lessons learned from production deployments across mobility, IoT, logistics, and enterprise data platforms. We will break down the complete 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 practices. We will compare traditional approaches where multiple tools are required for ingestion, processing, monitoring, and deployment against newer streaming-native platforms that treat data pipelines as deployable applications.

The session will also explore practical considerations such as cost optimization, observability strategies, developer productivity, and governance in large-scale streaming environments. Through real-world examples, we will demonstrate how organizations reduced operational overhead, accelerated delivery cycles, and improved reliability while processing high-volume event streams.

Whether you are running Kafka today or planning your 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 patterns for production-grade streaming applications.
Evaluate tradeoffs between assembling multiple tools and adopting unified platforms.
Improve developer productivity, observability, and operational efficiency.
Apply practical lessons from real-world streaming deployments with Condense.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.