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Data Products, Data Contracts, and Change Data Capture
Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...
Introducing Confluent Cloud Freight Clusters
Learn how the latest innovations in Kora enable us to introduce new Confluent Cloud Freight clusters, which can save you up to 90% at GBps+ scale. Confluent Cloud Freight clusters are now available in Early Access.
Contributing to Apache Kafka®: How to Write a KIP
Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.
Announcing Confluent 3.1 with Apache Kafka 0.10.1.0
Today, we are excited to announce the release of Confluent 3.1, the only stream processing platform built entirely on Apache Kafka. At Confluent, our vision is to not only ship […]
Confluent Contributions to the Apache Kafka™ Client Ecosystem
If you are using Apache Kafka from a language other than Java one of the first questions you probably have is something like, “Why are there two (or five!) clients […]
Introducing Apache Kafka™ for the Enterprise
In May, we introduced our first enterprise-focused feature, Confluent Control Center, with the 3.0 release of Confluent. Today, more than 35% of the Fortune 500 companies use Kafka for mission-critical […]
Want to migrate to AWS Cloud? Use Apache Kafka.
Amazon’s AWS cloud is doing really well. Doing well to the tune of making $2.57 Billion in Q1 2016. That’s 64% up from Q1 last year. Clearly a lot of […]
Announcing Confluent Platform 3.0.1 & Apache Kafka 0.10.0.1
A few months ago, we announced the release of open-source Confluent Platform 3.0 and Apache Kafka 0.10, marking the availability of Kafka Streams — the new stream processing engine of […]
Build and monitor Kafka pipelines with Confluent Control Center
On May 24, we announced Confluent Control Center, an application for managing and monitoring a Kafka-based streaming platform. Control Center has a beautiful user interface, and under the surface we […]
Announcing Apache Kafka 0.10 and Confluent Platform 3.0
I am very excited to announce the availability of the 0.10 release of Apache Kafka and the 3.0 release of the Confluent Platform. This release marks the availability of Kafka […]
How We Monitor and Run Kafka At Scale
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 […]
Announcing Apache Kafka 0.9.0.1 and Confluent Platform 2.0.1
A few months ago, we announced the major release of Apache Kafka 0.9, which added several new features like Security, Kafka Connect, the new Java consumer and also critical bug […]
Apache Kafka Security 101
TLS, Kerberos, SASL, and Authorizer in Apache Kafka 0.9 – Enabling New Encryption, Authorization, and Authentication Features Apache Kafka is frequently used to store critical data making it one of […]
Confluent Platform 2.0 is GA!
We are very excited to announce the general availability of Confluent Platform 2.0. For organizations that want to build a streaming data pipeline around Apache Kafka, Confluent Platform is the […]
Yes, Virginia, You Really Do Need a Schema Registry
I ran into the schema-management problem while working with my second Hadoop customer. Until then, there was one true database and the database was responsible for managing schemas and pretty […]
Getting started with Kafka in node.js with the Confluent REST Proxy
Previously, I posted about the Kafka REST Proxy from Confluent, which provides easy access to a Kafka cluster from any language. That post focused on the motivation, low-level examples, and […]
Why Avro for Kafka Data?
If you are getting started with Kafka one thing you’ll need to do is pick a data format. The most important thing to do is be consistent across your usage. […]