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.
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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
With the release of Apache Camel K, it is possible to create and deploy integrations with existing applications that are quicker and more lightweight than ever. In many cases, calling an existing REST endpoint is the best way to connect a new system to an existing one. Take the example of a cafe serving coffee. What happens when the cafe wants to allow customers to use a delivery service like GrubHub? You would only need to introduce a single Camel K integration to connect the cafe and GrubHub systems.
In this article, I will show you how to create a Camel K integration that calls an existing REST service and uses its existing data format. For the data format, I have a Maven project configured with Java objects. Ideally, you would have this packaged and available in a Nexus repository. For the purpose of my demonstration, I utilized JitPack, which lets me have my dependency available in a repository directly from my GitHub code. See the GitHub repository associated with this demo for the data format code and directions for getting it into JitPack.
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In this article, I share several new language support features in the recently released Language Support for Apache Camel VS Code extension 0.0.27. Before I discuss these improvements, please note that updates to the VS Code extension are available in other IDEs that support the Camel Language Server, including Eclipse IDE, Eclipse Che, and more. It is simply easier to focus on one IDE for my demonstrations, so I’ve chosen VS Code.
Note: Apache Camel is a versatile open source integration framework based on known enterprise integration patterns.
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Apache Camel K should be as lightweight as possible. Therefore, the Camel K project provides standalone Java files that describe a Camel integration. The downside to this practice is that existing IDEs cannot provide complete support out of the box. A few months ago, I mentioned the Java language support for Apache Camel K that was discussed in Red Hat Visual Studio Code (VS Code) extension, and how it provides Java language support for Apache Camel K. In this article and demo, I show you how to do the same with Eclipse Che and che.openshift.io.
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Apache Camel K is a lightweight integration framework built on Apache Camel that runs natively on Kubernetes. Camel K is designed explicitly for serverless and microservices architectures and allows you to run an integration written in Camel DSL on your cloud.
Continue reading Introducing IDE support for Apache Camel K Modeline
After many months of waiting, Apache Camel K 1.0 is finally here! This groundbreaking project introduces developers to cloud-native application development and automated cloud configurations without breaking a sweat. With the 1.0 general availability (GA) release, Apache Camel K is more stable than ever, with performance improvements that developers will appreciate.
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Apache Camel K is a lightweight cloud-integration platform that runs natively on Kubernetes and, in particular, lets you automate your cloud configurations. Based on the famous Apache Camel, Camel K is designed and optimized for serverless and microservices architectures. In this article, I discuss six ways that Camel K transforms how developers work with Kubernetes, Red Hat OpenShift, and Knative on cloud platforms.
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Red Hat OpenShift Serverless 1.5.0 (currently in tech preview) runs on Red Hat OpenShift Container Platform 4.3. It enables stateful, stateless, and serverless workloads to all operate on a single multi-cloud container platform. Apache Camel K is a lightweight integration platform that runs natively on Kubernetes. Camel K has serverless superpowers.
In this article, I will show you how to use OpenShift Serverless and Camel K to create a serverless Java application that you can scale up or down on demand.
Continue reading “Build and deploy a serverless app with Camel K and Red Hat OpenShift Serverless 1.5.0 Tech Preview”
Apache Camel K should be as lightweight as possible. Therefore, the Camel K project provides standalone Java files to describe a Camel integration. The downside to this practice is that existing IDEs cannot provide complete support out of the box. To provide a complete experience with Apache Camel K’s standalone Java files, there were three solutions:
As a result, there is no intuitive configuration. However, Red Hat’s Tooling for Apache Camel K offers a new possibility.
Continue reading “Camel K standalone Java file: Now with Java language support”