#kafkastreams

A typical Kafka console reads the cluster: topics, partitions, consumer groups, committed offsets,...

Spring's SpEL tokenizer is package-private. What it takes to build an editor on an evaluator: highlighting, completions, and errors a user can act on.

A Kafka Streams diagram shows the shape but not the logic. What changes when you draw the topology with the expressions inside, checked on real records.

We found this one the embarrassing way: a seeded demo stream sat inREBALANCING for a day. Not failing...

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...

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...