DEVOPSdigest

The latest release of Red Hat Integration is now available.

With this release, Red Hat continues to focus on strengthening customers' ability to respond faster, more efficiently and more intelligently to the world around them. Organizations are building out cloud-based, event-driven solutions that rely on streams of data flowing through the system. Red Hat Integration helps customers capture and process information as it's created. These advanced streaming processing applications are designed to take in more streams and more types of data to gain better insights and ultimately make more effective decisions.

Red Hat’s change data capture and service registry components, based on the open source Debezium and Apicurio projects, address important challenges that customers face when building these applications. For example, identifying changes in an application’s data, and automatically publishing those changes to the event-streaming backbone like Apache Kafka, and governing data movement to prevent runtime data errors.

These components are often used alongside core integration, messaging, data streaming and API management offerings to connect and act on data. While they are already tightly integrated at the runtime level, they can still require additional manual work by an organization’s IT operations team to get fully installed and running. That has been changed.

Kubernetes Operators codify operational knowledge that is required for packaging, deploying and managing a Kubernetes-native application. Once codified, Operators can automate these tasks. Customers have been able to use Operators to deploy core Red Hat Integration products for some time, including Red Hat Fuse, Red Hat 3scale API Management and Red Hat AMQ.

Now, customers can install, upgrade and manage Red Hat Integration components using the new Red Hat Integration Operator for Red Hat OpenShift. This serves to improve the user experience by providing direct access to all Operators across Red Hat’s integration portfolio, from core products to auxiliary components.

In addition to streamlining the customer experience with automated installs for change data capture and the service registry, Red Hat has tightened the connection between the two components so customers can automatically populate JSON and Apache Avro schema for discovery and enforcement. With this, publishers and consumers can be more disciplined about interpreting the data they follow.

Lastly, Red Hat expanded the list of target databases with a new connector for IBM Db2. Customers can set their applications to detect changes to Db2 databases—as well as MongoDB, MySQL, PostgreSQL, and Microsoft SQL Server—and capture them for streaming processing.