Red Hat AMQ

Red Hat AMQ Training and Certification.

Data propagation in a microservices world

Microservices teams gain agility by avoiding dependencies such as shared database tiers or common access models. However, these teams still need to access data that is owned by other teams. One popular solution to this information sharing challenge is for each microservices team to replicate the data in an intermediate store of its choice and populate it with the data owned by other teams.

This store might be a database (SQL or NoSQL), a data lake, in-memory store, or streaming processor such as Apache Spark or Apache Storm. The teams populate these intermediate stores with data streamed from the other microservices.

Apache Kafka has become the streaming technology of choice for this type of replication. Kafka is prized by these teams for performance, scalability, and ability to replay streams so that the teams can reset their intermediate stores to any point in time.

The Red Hat AMQ streams component is a massively scalable, distributed, and high-performance data streaming platform based on the Apache Kafka project. It offers a distributed backbone that allows microservices and other applications to share data with high throughput and low latency.

As more applications move to Kubernetes and Red Hat OpenShift , it is increasingly important to be able to run the communication infrastructure on the same platform. Red Hat OpenShift, as a highly scalable platform, is a natural fit for messaging technologies such as Kafka. The AMQ streams component makes running and managing Apache Kafka OpenShift native through the use of powerful operators that simplify the deployment, configuration, management, and use of Apache Kafka on Red Hat OpenShift.

The AMQ streams component is part of the Red Hat AMQ family, which also includes the AMQ broker, a longtime innovation leader in Java™ Message Service (JMS) and polyglot messaging, as well as the AMQ interconnect router, a wide-area, peer-to-peer messaging solution.