
Kafka Streams 101: A Developer’s Guide to Real-Time Application Logic
TL;DR Kafka Streams enables real-time stream processing inside applications using local...
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TL;DR Kafka Streams enables real-time stream processing inside applications using local...
Have you ever wondered how streaming giants like YouTube, Netflix or Amazon Prime suggest content...
Stream processing is the best way to work with event data. While batch processing still has its use...
![Reduce Rebalance Downtime (by x450) for Stateless Kafka Streams Apps [Simple Steps]](https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F3r2gpr1bojlha51dqadz.png)
In this post, we’ll learn how Kafka Streams Consumers behave differently from regular Kafka...

Why single-tool solution? How many infrastructure components you need to build...

Enriching an event with data from another source is one of the more common use cases in event...

See source code at Github Spring Cloud Stream is the solution provided by Spring to build...
Kafka is most sought after event system today. In this series we will look at Kafka event messaging a...
In this blog, I will thoroughly explain how to build an end-to-end real-time data pipeline by building four micro-services on top of Apache Kafka. It will give you insights into the Kafka Producer API, Avro and the Confluent Schema Registry, the Kafka Streams High-Level DSL, and Kafka Connect Sinks.
Kafka Streams is a powerful library for writing streaming applications and microservices on top of Ap...