Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more
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...
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.
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.
Stream processing is a data processing technology used to collect, store, and manage continuous streams of data as it’s produced or received. Stream processing (also known as event streaming or […]
If you’ve already started designing your real-time streaming applications, you may be ready to test against a real Apache Kafka® cluster. To make it easy to get started with your […]
Last week we announced that we changed the license of some of the components of Confluent Platform from Apache 2.0 to the Confluent Community License. We are really grateful to […]
For the first 12 days of December, Confluent shared a daily tech tip related to managing Apache Kafka® in the cloud. These tips make it easier for you to get […]
We’re changing the license for some of the components of Confluent Platform from Apache 2.0 to the Confluent Community License. This new license allows you to freely download, modify, and […]
The phrase time value of data has been used to demonstrate that the value of captured data diminishes by time. This means that the sooner the data is captured, analyzed […]
It might seem a little strange, being the holiday season and still technically 2018, for me to be talking 2019 Kafka Summit events. But as you may already know, the […]
The principle of least privilege dictates that each user and application will have the minimal privileges required to do their job. When applied to Apache Kafka® and its Streams API, […]
Imagine: Disaster strikes—catastrophic hardware failure, software failure, power outage, denial of service attack or some other event causes one datacenter with an Apache Kafka® cluster to completely fail. Yet Kafka […]
Only a few years ago, when someone said they had a “cloud-first strategy,” you knew exactly who their new preferred vendor was. These days, however, the story is a lot […]
Machine learning and the Apache Kafka® ecosystem are a great combination for training and deploying analytic models at scale. I had previously discussed potential use cases and architectures for machine […]
Kafka Connect is part of Apache Kafka®, providing streaming integration between data stores and Kafka. For data engineers, it just requires JSON configuration files to use. There are connectors for […]
In Kafka, a topic can have multiple partitions to which records are distributed. Partitions are the unit of parallelism. In general, more partitions leads to higher throughput. However, there are […]
Choosing the right messaging system during your architectural planning is always a challenge, yet one of the most important considerations to nail. As a developer, I write applications daily that […]