Feeling stuck in a loop with your data platform initiatives? You're not alone. Despite powerful tools and dedicated effort, many architects, developers, and DevOps teams still find themselves struggling with fragmented adoption, unreliable data streams, and operational friction.

In this session, I'll candidly explore common real-world obstacles—like elusive self-service capabilities, observability blind spots, and operational bottlenecks—that often prevent Kafka and streaming platforms from reaching their full potential. Drawing from years of hands-on experience, I'll share relatable scenarios and practical strategies that lead to meaningful, iterative improvements.

You'll leave this talk with clear, actionable techniques to incrementally resolve platform challenges, enhance developer experience, and sustainably improve operations—transforming repetitive frustration into continuous progress.