Apache Kafka - Real-time Stream Processing (Master Class) - Kafka Streams Architecture

This lecture covers Apache Kafka Streams, focusing on its parallel processing and fault tolerance capabilities. It explains the difference between single-threaded and multithreaded applications, and how to configure them for vertical and horizontal scaling. The concept of stream tasks and topology is introduced, with an example illustrating task assignment and scaling. Finally, the lecture discusses fault tolerance, explaining how Kafka Streams handles failures by reassigning tasks to running instances.

What are the key capabilities that Kafka Streams offers?

Explain how you can create a multithreaded streams application in Kafka.

What is the significance of configuring the number of threads in a Kafka Streams application?

Describe the process of horizontal scaling in Kafka Streams.

What is a stream task in Kafka Streams, and how is it related to topology?

What happens to tasks when you scale out a Kafka Streams application by adding more instances?

How does Kafka Streams handle fault tolerance when an active instance fails?