# 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 webinar 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 also demo Conduktor's Insights 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
