Interacting with data (in motion) in the cloud

Logo
Presented by

Clement Escoffier, Red Hat Distinguished Engineer

About this talk

The popularity of AI features like machine learning and data services has created a need to collect data from multiple sources, like customer-facing websites, edge devices, databases, etc. This has increased the demand for high-performance stream processing, also known as "data in motion." Data in motion refers to digital information flowing in and out of the system components. It is essential for organizations that need to support a continuous, real-time flow of data to deliver rich, in-the-moment customer experiences and drive efficiency within business operations.In this talk, we will discuss different techniques for collecting data and mainly focus on how Quarkus, a Java Cloud-Native stack, lets you build Kafka-based event-driven architectures. Using a sample application, we will illustrate the concepts and common patterns and show how Quarkus eases the development and deployment of data-in-motion architectures on OpenShift.

Related topics:

More from this channel

Upcoming talks (2)
On-demand talks (55)
Subscribers (14466)
Red Hat Partner Connect is a free program for software companies that want to run and certify their software on Red Hat Enterprise Linux, Red Hat OpenShift, and other platforms. Join this channel for technical information and How-to's for building and certifying on our Red Hat platforms.