Confluent Blog

The rise of the cloud introduced a focus on rapid iteration and agility that is founded on specialization. If you are an application developer, you know your applications better than

Twitter, one of the most popular social media platforms today, is well known for its ever-changing environment—user behaviors evolve quickly; trends are dynamic and versatile; and special and emergent events

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

Fraud detection, payment systems, and stock trading platforms are only a few of many Apache Kafka® use cases that require both fast and predictable delivery of data. For example, detecting

The amount of time it takes for a message to move through a system plays a big role in the performance of distributed systems like Apache Kafka®. In Kafka, the

Every developer who uses Apache Kafka® has used a Kafka consumer at least once. Although it is the simplest way to subscribe to and access events from Kafka, behind the

This post was written by guest blogger Rajiv Kurian from SignalFx. SignalFx is a member of the Confluent partner program. Rajiv is a software engineer with over five years experience building

For a long time, a substantial portion of data processing that companies did ran as big batch jobs — CSV files dumped out of databases, log files collected at the

Note: The blog post Apache Kafka Supports 200K Partitions Per Cluster contains important updates that have happened in Kafka as of version 2.0. This is a common question asked by

This is the second part of our guide on streaming data and Apache Kafka. In part one I talked about the uses for real-time data streams and explained the concept of