Part 1 of this blog series by Gwen Shapira explained the benefits of schemas, contracts between services, and compatibility checking for schema evolution. In particular, using Confluent Schema Registry makes […]
When it was first created, Apache Kafka® had a client API for just Scala and Java. Since then, the Kafka client API has been developed for many other programming languages […]
As we announced in Introducing Confluent Platform 5.2, the latest release introduces many new features that enable you to build contextual event-driven applications. In particular, the management and monitoring capabilities […]
Enterprises run modern data systems and services across multiple cloud providers, private clouds and on-prem multi-datacenter deployments. Instead of having many point-to-point connections between sites, the Confluent Platform provides an […]
Event-driven architecture means just that: It’s all about the events. In a microservices architecture, events drive microservice actions. No event, no shoes, no service. In the most basic scenario, microservices […]
Part 1 of this blog series introduced a self-paced tutorial for developers who are just getting started with stream processing. The hands-on tutorial introduced the basics of the Kafka Streams […]
Event-driven architectures comprise complex business processes interconnected with streams of events. These are often online service uses cases and also backend processes such as billing, fulfillment or fraud detection, which […]
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 […]
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 […]
In this blog post, we show you how to build a demo streaming application with KSQL, the streaming SQL engine for Apache Kafka®. This application continuously computes, in real time, […]
