In this article, you will learn how to use Debezium with Apache Avro and Apicurio Registry to efficiently monitor change events in a MySQL database. We will set up and run a demonstration using Apache Avro rather than the default JSON converter for Debezium serialization. We will use Apache Avro with the Apicurio service registry to externalize Debezium’s event data schema and reduce the payload of captured events.
Continue reading Debezium serialization with Apache Avro and Apicurio Registry
This article introduces new storage installation options and features in the Red Hat Integration service registry. The service registry component is based on Apicurio. You can use it to store and retrieve service artifacts such as OpenAPI specifications and AsyncAPI definitions, and for schemas such as Apache Avro, JSON, and Google Protobuf. We’ve provided Red Hat Integration’s Service Registry 1.1 component as a general availability (GA) release in Red Hat Integration 2020-Q4.
Continue reading New features and storage options in Red Hat Integration Service Registry 1.1 GA
Red Hat Process Automation Manager 7.9 brings bug fixes, performance improvements, and new features for process and case management, business and decision automation, and business optimization. This article introduces you to Process Automation Manager’s out-of-the-box integration with Apache Kafka, revamped business automation management capabilities, and support for multiple decision requirements diagrams (DRDs). I will also guide you through setting up and using the new
drools-metric module for analyzing business rules performance, and I’ll briefly touch on Spring Boot integration in Process Automation Manager 7.9.
Continue reading Red Hat Process Automation Manager 7.9 brings Apache Kafka integration and more
Serverless workflows have gained renewed interest and usefulness with the rise of serverless architectures. Once seen as centralized and monolithic, they now play a key role in cloud-based event and service orchestration. Until recently, there was no vendor-neutral way to describe service orchestration, so developers were dependent on vendors and vendor implementations. We realized that we needed a common, standards-based language for describing serverless workflows.
Continue reading Orchestrate event-driven, distributed services with Serverless Workflow and Kubernetes
Red Hat OpenShift 4.6 streamlines developer onboarding in the OpenShift web console, but that’s not all. This article details improvements and new features in the topology view and introduces OpenShift’s new, form-based approach to creating horizontal pod autoscalers and Helm charts. I also touch on application monitoring improvements and the latest updates for Red Hat OpenShift Pipelines, Red Hat OpenShift Serverless, and the Kiali Operator in OpenShift 4.6.
Note: This article presents an overview of what’s new in OpenShift 4.6. See the video at the end of the article for a guide to accessing and using the new features in the OpenShift web console.
Continue reading “More for developers in the new Red Hat OpenShift 4.6 web console”
DevNation Tech Talks are hosted by the Red Hat technologists who create our products. These sessions include real solutions plus code and sample projects to help you get started. In this talk, you’ll learn about event-driven serverless applications and Apache Camel K from Nicola Ferraro, Luca Burgazzoli, and Burr Sutter.
Continue reading Event-driven serverless applications with Camel K
This article introduces the new Debezium Db2 connector for change data capture, now available as a technical preview from Red Hat Integration. Get a quick overview of using Debezium in a Red Hat AMQ Streams Kafka cluster, then find out how to use the new Db2 connector to capture row-level changes in your Db2 database tables.
Note: Change data capture, or CDC, is a well-established software design pattern for monitoring and capturing data changes in a database. CDC captures row-level changes to database tables and passes corresponding change events to a data streaming bus. Applications can read the change-event streams and access change events in the order that they happened.
Continue reading “Capture IBM Db2 data changes with Debezium Db2 connector”
JDK Flight Recorder, or JFR, is an event-based production environment profiler available from OpenJDK 8u272 forward. Being a HotSpot-native feature, JDK Flight Recorder performs with extremely low overhead in terms of how it uses both space and time.
Continue reading Collect JDK Flight Recorder events at runtime with JMC Agent
Red Hat is heading to NodeConf Remote 2020 with IBM to demonstrate a few of our favorite production-quality tools and solutions, all designed to help developers maintain their productivity while successfully navigating the vast and rapidly-changing cloud-native landscape.
Continue reading Red Hat talks and workshops at NodeConf Remote 2020