Session
Event-Driven Kafka Scaling in Kubernetes
In this session, we dive deep into using KEDA (Kubernetes Event-driven Autoscaling) to solve the most common Kafka scaling challenges. We will move beyond the limitations of the Horizontal Pod Autoscaler (HPA) and explore how to scale based on real-time metrics like consumer group lag and offset positions.
Audience: DevOps Engineers, SREs, Data Engineers, and Architects familiar with Kubernetes and Kafka basics.
Duration: 45 minutes.
Level: High-Level (Level 300).
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