eBook
Federating Data Governance: Scaling Kafka Without Losing Control
Balance developer autonomy with platform control. Practical patterns for governing Kafka across multiple teams.
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Central governance doesn't scale. Hands-off governance creates chaos. Federated governance gives you both control and speed.
The Problem
- Platform teams become bottlenecks
- Developers wait days for resources
- Standards exist but aren't enforced
- Compliance risks multiply with scale
What You'll Learn
- How to define global standards that teams actually follow
- Where to draw the line between central and team-level control
- Practical steps to implement federation in your existing architecture
- How automation enforces governance without slowing anyone down
Who This Is For
Platform engineers, data architects, and engineering leaders managing Kafka across multiple teams or business units.