Red Hat OpenShift Streams for Apache Kafka

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What is Red Hat OpenShift Streams for Apache Kafka?

Red Hat® OpenShift® Streams for Apache Kafka is a managed cloud service that provides a streamlined developer experience for building, deploying, and scaling new cloud-native applications or modernizing existing systems.

Deliver real-time experiences and connected microservices

Red Hat OpenShift Streams for Apache Kafka makes it easy to create, discover, and connect to real-time data streams no matter where they are deployed. Streams are a key component for delivering event-driven and data analytics applications. The combination of seamless operations across distributed microservices, large data transfer volumes, and managed operations allows teams to focus on team strengths, speed up time to value, and lower operational costs.

Apache Kafka allows organizations to modernize existing systems and deliver real-time experiences to employees, customers and partners. Red Hat OpenShift Streams for Apache Kafka goes farther than core Kafka technology because of what comes packaged alongside it: OpenShift Streams for Apache Kafka includes a Kafka ecosystem and is part of a family of cloud services—and the Red Hat OpenShift product family—which helps you build a wide range of data-driven solutions.

Benefits of using OpenShift Streams for Apache Kafka

  • Faster application velocity allows teams to begin developing immediately, continuously modify individual microservices, and implement new technology quickly.
  • Simplified application lifecycle across hybrid cloud environments that seamlessly connects to any workload.
  • A curated Kafka ecosystem for building, deploying and scaling applications—including platform, application, and data services—to simplify the delivery of stream-based applications in public and private clouds.


Real-time, streaming data broker

Service that can run in any cloud to support large data transfer volumes between distributed microservices for enterprise-scale applications.


Kafka brokers can connect to distributed services, making it easy to consume and share streaming data between applications and enterprise systems, cloud provider services, and Software-as-a-Service (SaaS) applications.

Schema registry

Red Hat OpenShift Service Registry is included, making it easy for development teams to publish, communicate, and discover streaming data topics.

Streamlined developer experience

A developer-first, consistent experience that protects the user from administrative tasks, supports self-service, and easily connects to other Red Hat OpenShift workloads.

Delivered as a service, managed by Red Hat

Red Hat’s specialized 24x7 global site reliability engineering (SRE) team manages the highly-available (multi-AZ) Kafka infrastructure and daily operations, including monitoring, logging, upgrades, and patching, to address issues proactively and solve problems quickly.

Use cases

Replace batch data with real-time events

Many applications still rely on batch data, which can lead to frustration for customers and delayed results. The use of streaming data eliminates the reliance on batch data to enable better, more immediate digital experiences.

Create an event-driven architecture

When designing hybrid cloud applications, data streams provide the backbone for capturing, communicating, and processing events for event-driven, distributed application architectures.

Connect loosely-coupled microservices

Developers strive to expose functionality as microservices as they allow teams to stay independent. Using streams to communicate between microservices preserves loose coupling and allows teams to remain agile.


Analyst material

Empowering developers through cloud services 

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Understanding Kafka in the Enterprise


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