In this episode of PithorAcademy Presents: Deep Dive, we unpack Kafka Consumer Groups—the key mechanism that makes scalable and fault-tolerant data consumption possible in Apache Kafka.

We cover:

• Parallel Consumption – how consumer groups scale data processing

• Rebalancing – redistributing load when consumers join or leave

• Group Offsets – tracking progress across consumer groups

By the end, you’ll understand how consumer groups allow Kafka to achieve high availability, horizontal scalability, and reliable real-time event streaming—making them essential for production-grade systems used at companies like Netflix, Uber, and LinkedIn.

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