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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.
Introducing Confluent Platform 6.1
We are pleased to announce the release of Confluent Platform 6.1. With this release, we are further simplifying management tasks for Apache Kafka® operators and providing even higher availability for […]
How to Consume Data from Apache Kafka Topics and Schema Registry with Confluent and Azure Databricks
How do you process IoT data, change data capture (CDC) data, or streaming data from sensors, applications, and sources in real time? Apache Kafka® and Apache Spark® are widely adopted […]
Event Streaming Across Networks and Corporate Firewalls Using PubNub and Confluent Platform
This year’s pandemic has forced businesses all around the world to adopt a “remote-first” approach to their operations, with an emphasis on better enabling collaboration, remote work, and productivity. This […]
Property Based Testing Confluent Cloud Storage for Fun and Safety
Confluent uses property-based testing to test various aspects of Confluent Cloud’s Tiered Storage feature. Tiered Storage shifts data from expensive local broker disks to cheaper, scalable object storage, thereby reducing […]
Putting Apache Kafka to REST: Confluent REST Proxy 6.0
Confluent Platform 6.0 was released last year bringing with it many exciting new features to Confluent REST Proxy. Before we dive into what was added, let’s first revisit what REST […]
Introducing the Confluent Parallel Consumer
Consuming messages in parallel is what Apache Kafka® is all about, so you may well wonder, why would we want anything else? It turns out that, in practice, there are […]
Getting Started with Spring Cloud Data Flow and Confluent Cloud
Data is the currency of competitive advantage in today’s digital age. All organizations struggle with their data due to the sheer variety of data types and ways that it can […]
Ensure Data Quality and Data Evolvability with a Secured Schema Registry
Organizations define standards and policies around the usage of data to ensure the following: Data quality: Data streams follow the defined data standards as represented in schemas Data evolvability: Schemas […]
Project Metamorphosis Month 8: Complete Apache Kafka in Confluent Cloud
This is the eighth and final month of Project Metamorphosis: an initiative that brings the best characteristics of modern cloud-native data systems to the Apache Kafka® ecosystem, served from Confluent […]
Real-Time Serverless Ingestion, Streaming, and Analytics using AWS and Confluent Cloud
Due to the distributed architecture of Apache Kafka®, the operational burden of managing it can quickly become a limiting factor on adoption and developer agility. For this reason, it is […]
The Cloud-Native Evolution of Apache Kafka on Kubernetes
It’s almost KubeCon! Let’s talk about the state of cloud-native Apache Kafka® and other distributed systems on Kubernetes. Over the last decade, our industry has seen the rise of container […]
Self-Describing Events and How They Reduce Code in Your Processors
Have you ever had to write a program that needed to handle any data payload that could be thrown at you? If so, did you always have to update the […]
Project Metamorphosis Month 7: Reliable Event Streaming with Confluent Cloud and Proactive Support
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 […]
How to Choose Between Strict and Dynamic Schemas
Event modeling has always been a pain point in organizations. From figuring out the standard format of your schemas, processing said data models effectively, and finally testing before you deploy […]