Introducing AMQ Streams—data streaming with Apache Kafka

Apache Kafka has emerged as a leading platform for building real-time data pipelines. It provides support for high-throughput/low-latency messaging, as well as sophisticated development options that cover all the stages of a distributed data-streaming pipeline—from ingestion to processing.

In this session, we'll introduce and demonstrate AMQ Streams, an enterprise-grade distribution of Apache Kafka. We'll showcase how AMQ Streams can be deployed on OpenShift to simplify the task of configuring, deploying, and managing Kafka clusters and Kafka-based applications at scale.

With AMQ Streams now joining Broker and Interconnect, AMQ now offers a rich suite of messaging technologies covering every type of connectivity challenge, for example, IoT data ingestion, enterprise application integration, secure cross-data center connectivity, and data streaming. In this session, we'll also compare the different AMQ messaging engines and highlight their respective sweet-spots.

  • Date:Thursday, May 10
  • Time:11:15 AM - 12:00 PM
  • Room:2014
  • Location:Moscone West - 2014
  • Session Type:Breakout
  • Session Code:S1775
  • Best for people who:Build applications, Design application/system architectures
  • Session Includes:Roadmap, Demo
  • Topic(s):App‚ data‚ and process integration, Application platforms, Emerging technologies
  • Products and Services:OpenShift.io, Red Hat OpenShift Container Platform, Red Hat JBoss AMQ, Red Hat OpenShift Application Runtimes
  • Technical difficulty:Introduction
  • Primary solution:Middleware
  • Industry:
  • Time slot:Morning
  • Trail maps:Internet of Things
Speakers
Paolo Patierno
Red Hat
Paolo Patierno
Red Hat
David Ingham
Red Hat
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