How Kafka and Redis Solve Stream-Processing Challenges

2 years ago thenewstack.io

Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →

This post was adapted from a new book “Understanding Streams in Redis and Kafka: A Visual Guide.” Stream processing is one of the more complex systems to understand, so this book attempts to explain these concepts visually with more than 50 detailed graphics and code samples from both Redis Streams and Kafka.

Here the streams and the data (events) are first-class citizens as opposed to systems that are processing them. Any system that is interested in sending data (producer), receiving data (consumer) or both sending and receiving data (producer and consumer) connects to the stream-processing system.

This is why more and more people are using Kafka and Redis Streams in their data layer.

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