Factor House

Running multiple Kafka clusters gets expensive fast, and most teams end up with more infrastructure than they need. In this session, Karel Sague walks through a practical methodology for reducing Kafka costs by decommissioning old clusters, consolidating workloads, splitting clusters where it makes sense, and migrating to more cost-effective infrastructure.

Karel covers how to evaluate whether consolidation or splitting is the right call for a given workload, the sequencing and risk management involved in a live cluster migration, and how to avoid downtime and data loss along the way. The session includes code samples from real migrations.

If you are managing Kafka infrastructure and looking for ways to cut costs without cutting corners, this talk is for you.
