Kafka has the ability to process over a million messages per second.

Ex: just like RabbitMq- if you implement Kafka on your websites infrastructure, when a user uploads a thumbnail, photo, video - that triggers an API message that gets relayed and processed by Kafka to decide which node ingester to forward that API message to so that it can get processed

Apache Kafka:

• Focus: Distributed event streaming platform.
• Strengths:
  • High-throughput, fault-tolerant message broker.
  • Suitable for both online and offline message consumption.
  • Requires ZooKeeper for metadata management.
• Use Cases: Real-time data pipelines, event-driven architectures.

Troubleshooting

Installing a Kafka Cluster and Creating a Topic

Setting Up a Kafka Cluster for High Availability

Handling Kafka Topic Partitioning and Scaling

Implementing Kafka Consumer Groups for Scalability