Confluent Blog

The last post in this microservices series looked at building systems on a backbone of events, where events become both a trigger as well as a mechanism for distributing state.

This is a very exciting time to be part of the Apache Kafka® community! Every four months, a new Apache Kafka release brings additional features and improvements. We’re particularly excited

I’m thrilled that we have hit an exciting milestone the Apache Kafka® community has long been waiting for: we have  introduced exactly-once semantics in Kafka in the 0.11 release and

There has been a lot of talk recently that traditional ETL is dead. In the traditional ETL paradigm, data warehouses were king, ETL jobs were batch-driven, everything talked to everything

We are very excited for the GA for Kafka release 0.11.0.0 which is just days away. This release is bringing many new features as described in the previous Log Compaction

In this blog post, we’re going to get back to basics and walk through how to get started using Apache Kafka with your Python applications. We will assume some basic

In his book Design Patterns Explained, Alan Shalloway compares his car to an umbrella. After all, he uses both to stay dry in the rain. The umbrella has an advantage

For many, microservices are built on a protocol of requests and responses. REST etc. This approach is very natural. It is after all the way we write programs: we make

We are very excited to share a wealth of streaming news from the past month! If you are looking for an ideal streaming data service that delivers the resilient, scalable

Introduction What’s great about the Kafka Streams API is not just how fast your application can process data with it, but also how fast you can get up and running