Red Hat OpenShift Streams for Apache Kafka

OpenShift Streams for Apache Kafka simplifies the delivery of stream-based applications

OpenShift Streams for Apache Kafka is a managed cloud service for streaming data that reduces the operational cost and complexity of delivering real-time applications across hybrid-cloud environments.

Streamlined developer experience

Red Hat OpenShift Streams for Apache Kafka provides a developer-first, consistent experience that shields the user from administrative tasks, supports a consistent experience across clouds, and easily connects to other OpenShift workloads. Developers can self-serve, get productive rapidly with quick starts, and use the command line interface (CLI) and Application Programming Interface (API) access to integrate into existing workflows.

Real-time streaming data broker

This service can be accessed by workloads running in any cloud to support large data transfer volumes between distributed microservices for enterprise-scale applications. Kafka is a real-time and durable data broker that enables applications to process, persist, and re-process streamed data. Kafka has a clear routing approach that uses a routing key to send messages and data to a topic.

Connectors

Red Hat OpenShift Connectors deliver quick, scalable, and reliable connectivity across data, enterprise systems, cloud services, and SaaS applications. Enable development teams to build a wide variety of pipelines using pre-built connectors across multiple standards, ecosystems, and upstream projects..

Schema registry

Red Hat OpenShift Service Registry enables development teams to publish, discover, and communicate using well-defined data schemas with Apache Kafka. Service Registry supports both event-driven and API-driven applications with support for a wide variety of message schema types along with Open API v2 and v3. Developers can leverage the client SerDes in Kafka producer and consumer applications to eliminate boilerplate serialization logic and ensure consistency in data handling across applications.

Red Hat OpenShift API Designer

Design, build, and create APIs and schemas for API-first and streams-based applications without writing any code. The seamless integration to other cloud services allows for increased collaboration and reduction of data inconsistencies when building and delivering API-first, streams-based applications.

Change Data Capture (CDC)

Teams can use Debezium to easily incorporate existing databases into a data stream and an event-driven architecture. Change data capture is a pattern that enables database changes to be monitored and propagated to downstream systems. With Debezium (included in Red Hat OpenShift Connectors), developers can reliably integrate microservices.