Announcing the Confluent Platform 1.0
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 […]
Putting Apache Kafka To Use: A Practical Guide to Building an Event Streaming Platform (Part 2)
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 […]
Putting Apache Kafka To Use: A Practical Guide to Building an Event Streaming Platform (Part 1)
Data systems have mostly focused on the passive storage of data. Phrases like “data warehouse” or “data lake” or even the ubiquitous “data store” all evoke places data goes to […]
Stream Processing, Event Sourcing, Reactive, CEP Explained
Some people call it stream processing. Others call it event streaming, event sourcing, or CQRS. Some even call it complex event processing. Sometimes, such buzzwords are just smoke and mirrors, […]
What’s coming in Apache Kafka 0.8.2
I am very excited to tell you about the forthcoming 0.8.2 release of Apache Kafka. Kafka is a fault-tolerant, low-latency, high-throughput distributed messaging system used in data pipelines at several […]
Announcing Confluent, a Company for Apache Kafka and Realtime Data
Today I’m excited to announce that Neha Narkhede, Jun Rao, and I are forming a start-up called Confluent around realtime data and the open source project Apache Kafka that we […]
Fully managed Apache Kafka as a Service!
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