Is Your Kafka Platform Actually Healthy?

The Problem

You enabled self-service Kafka. Teams are onboarding fast. But now you're flying blind.

• Who owns that abandoned topic with 50GB of data?
• Is that consumer group actually being used, or just forgotten?
• Which teams are exceeding their quotas—and do they even know?

Dashboards show real-time metrics. They don't show what's drifting, accumulating, or about to become a problem.

What We'll Cover

This session is for platform engineers who need to answer "is our Kafka platform healthy?" without digging through logs or chasing down team leads.

You'll learn:

• Long-term signals over real-time noise — How to identify health patterns that emerge over weeks, not seconds
• Ownership clarity — Practical approaches to tracking who owns what, and what happens when they leave
• Usage drift detection — Spotting inactive resources, runaway growth, and governance gaps before they escalate
• Self-service without chaos — How centralized insights let you scale access without losing control

We'll demo Conduktor's Insights Center and show how these signals come together in practice.

Who This Is For

• Platform engineers running Kafka infrastructure
• SRE and infrastructure teams supporting streaming workloads
• Architects responsible for Kafka governance and reliability
• Anyone tired of playing detective when something goes wrong