debezium

Low-code microservices orchestration with Syndesis

Low-code microservices orchestration with Syndesis

Recently I wrote about decoupling infrastructure code from microservices. I found that Apache Camel and Debezium provided the middleware I needed for that project, with minimal coding on my end. After my successful experiment, I wondered if it would be possible to orchestrate two or more similarly decoupled microservices into a new service–and could I do it without writing any code at all? I decided to find out.

This article is a quick dive into orchestrating microservices without writing any code. We will use Syndesis (an open source integration platform) as our orchestration platform. Note that the examples assume that you are familiar with Debezium and Kafka.

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Red Hat advances Debezium CDC connectors for Apache Kafka support to Technical Preview

Red Hat advances Debezium CDC connectors for Apache Kafka support to Technical Preview

After a couple of months in Developer Preview, the Debezium Apache Kafka connectors for change data capture (CDC) are now available as a Technical Preview as part of the Q4 release of Red Hat Integration. Technology Preview features provide early access to upcoming product innovations, enabling you to test functionality and provide feedback during the development process.

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Decoupling microservices with Apache Camel and Debezium

Decoupling microservices with Apache Camel and Debezium

The rise of microservices-oriented architecture brought us new development paradigms and mantras about independent development and decoupling. In such a scenario, we have to deal with a situation where we aim for independence, but we still need to react to state changes in different enterprise domains.

I’ll use a simple and typical example in order to show what we’re talking about. Imagine the development of two independent microservices: Order and User. We designed them to expose a REST interface and to each use a separate database, as shown in Figure 1:

Diagram 1 - Order and User microservices

Figure 1: Order and User microservices.

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Developer preview of Debezium Apache Kafka connectors for Change Data Capture (CDC)

Developer preview of Debezium Apache Kafka connectors for Change Data Capture (CDC)

With the release of Red Hat AMQ Streams 1.2, Red Hat Integration now includes a developer preview of Change Data Capture (CDC) capabilities to enable data integration for modern cloud-native microservices-based applications. CDC features are based on the upstream project Debezium and are natively integrated with Apache Kafka and Strimzi to run on top of Red Hat OpenShift Container Platform, the enterprise Kubernetes, as part of the AMQ Streams release.

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Red Hat Sessions at Devoxx 2017

Red Hat Sessions at Devoxx 2017

The 2017 edition of the legendary Devoxx conference is over, and as always, it has been a fantastic week.

Hosted in Antwerp, Belgium, and sold out months in advance, it’s one of the top events of the Java community. Five days fully packed with workshops, regular conference sessions, BOFs, ignite sessions and even quickie talks during the lunch breaks – there was something for everyone.

The super-comfortable cinema seats at the Devoxx venue are legendary, but also if you couldn’t attend, you wouldn’t miss a thing as the sessions were live streamed. But it gets even better: all the recordings are freely available on YouTube already.

Red Hat was present with more than ten speakers, so Devoxx was a great opportunity for us to show the latest projects. Our sessions covered the full range of software development, from presenting a new garbage collector, over Java coding patterns and updates on popular libraries such as Hibernate, up to several talks related to microservices, including how to test, secure and deploy them on Kubernetes and OpenShift.

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