Confluent Blog

Apache Kafka® is one of the most popular event streaming systems. There are many ways to compare systems in this space, but one thing everyone cares about is performance. Kafka

Netflix spent an estimated $15 billion to produce world-class original content in 2019. When stakes are so high, it is paramount to enable our business with critical insights that help

The Kafka Streams API boasts a number of capabilities that make it well suited for maintaining the global state of a distributed system. At Imperva, we took advantage of Kafka

Using Jaeger tracing, I’ve been able to answer an important question that nearly every Apache Kafka® project that I’ve worked on posed: how is data flowing through my distributed system?

Apache Kafka has a data structure called the “request purgatory”. The purgatory holds any request that hasn’t yet met its criteria to succeed but also hasn’t yet resulted in an

This post was jointly written by Neha Narkhede, co-creator of Apache Kafka, and Flavio Junqueira, co-creator of Apache ZooKeeper. Many distributed systems that we build and use currently rely on dependencies like

One of the things I realised while doing research for my book is that contemporary software engineering still has a lot to learn from the 1970s. As we’re in such

This is a repost of a recent article that I wrote for ODBMS. In the last few years, there has been significant growth in the adoption of Apache Kafka. Current

We are very excited to announce general availability of Confluent Platform 1.0, a stream data platform powered by Apache Kafka, that enables high-throughput, scalable, reliable and low latency stream data