Knative

Guru Night at Red Hat Summit: Hands-on experience with serverless computing

Guru Night at Red Hat Summit: Hands-on experience with serverless computing

Millions of developers worldwide want to learn more about serverless computing. If you’re one of the lucky thousands attending Red Hat Summit in Boston May 7-9, you can gain hands-on experience with the help of Burr Sutter and the Red Hat Developer team.

Guru Night is a BYOL (bring your own laptop) event taking place Wednesday, May 8 from 5:00 p.m. to 8:00 p.m. at the Boston Convention and Event Center in ML2 East-258AB. (Doubtless there will be a map to show you where or what ML2 East etc. is; we have no idea.) Head to the signup page and fill out your details now.

TL;DR: Beer and pizza will be served.

We felt compelled to point that out. But read on.

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Build and deploy an API with Camel K on Red Hat OpenShift

Build and deploy an API with Camel K on Red Hat OpenShift

With the growing number of APIs and microservices, the time given to creating and integrating them has become shorter and shorter. That’s why we need an integration framework with tooling to quickly build an API and include capabilities for a full API life cycle. Camel K lets you build and deploy your API on Kubernetes or Red Hat OpenShift in less than a second. Unbelievable, isn’t it?

For those who are not familiar with it, Camel K is a subproject of Apache Camel with the target of building a lightweight runtime for running integration code directly on cloud platforms like Kubernetes and Red Hat OpenShift. It was inspired by serverless principles, and it will also target Knative shortly. The article by Nicola Ferraro will give you a good introduction.

In this article, I’ll show how to build an API with Camel K. For that, we will start first by designing our API using Apicurio Studio, which is based on the OpenAPI standard, and then we will provide the OpenAPI standard document to Camel K in order to implement the API and deploy it to Red Hat OpenShift.

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From zero to Quarkus and Knative: The easy way

From zero to Quarkus and Knative: The easy way

You’ve probably already read about Quarkus, but you may not know that the superfast startup speed of Quarkus makes it the best candidate for working with Knative and serverless for your Function-as-a-Service (FaaS) projects.

Quarkus, also known as Supersonic, Subatomic Java, is a Kubernetes native Java stack tailored for GraalVM and OpenJDK HotSpot, crafted from the best-of-breed Java libraries and standards. Knative is a Kubernetes-based platform to build, deploy, and manage modern serverless workloads. You can learn more in this article series.

This article does not provide a full deep dive on Knative or Quarkus. Instead, I aim to give you a quick and easy way to start playing with both technologies so you can further explore on your own.

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The evolution of serverless and FaaS: Knative brings change

The evolution of serverless and FaaS: Knative brings change

Are serverless and Function as a Service (FaaS) the same thing?

No, they’re not.

Wait. Yes, they are.

Frustrating, right? With terms being thrown about at conferences, in articles (I’m looking at myself right now), conversations, etc., things can be confusing (or, sadly, sometimes misleading). Let’s take a look at some aspects of serverless and FaaS to see where things stand.

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Init Container Build Pattern: Knative build with plain old Kubernetes deployment

Init Container Build Pattern: Knative build with plain old Kubernetes deployment

With Kubernetes evolving at supersonic speed and seeing a lot of adoption in the enterprise world, the developer community is now looking for solutions to common Kubernetes problems, such as patterns. In this article, I will explore a new Kubernetes pattern using Init Containers.

Let’s start with the use case that gave birth to this problem: Quarkus—Supersonic and Subatomic Java—has excited the Java developer community with its amazing speed and all new native build artifact for Java applications. As one of those excited developers, I want to quickly build and deploy a Quarkus application on to Kubernetes.

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Quarking Drools: How we turned a 13-year-old Java project into a first-class serverless component

Quarking Drools: How we turned a 13-year-old Java project into a first-class serverless component

“The question of whether a computer can think is no more interesting than the question of whether a submarine can swim.” (Edsger W. Dijkstra)

Rule-based artificial intelligence (AI) is often overlooked, possibly because people think it’s only useful in heavyweight enterprise software products. However, that’s not necessarily true. Simply put, a rule engine is just a piece of software that allows you to separate domain and business-specific constraint from the main application flow. We are part of the team developing and maintaining Drools—the world’s most popular open source rule engine and part of Red Hat—and, in this article, we will describe how we are changing Drools to make it part of the cloud and serverless revolution.

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