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Java Serverless Functions With Quarkus Quick Starts

Are you looking for the shortest path or cheatsheet to bring your Java application into a serverless platform based on Kubernetes? Perhaps you don't have enough time to stand up relevant infrastructure and configure settings for both the application and the platform. This article is a guide to developing Java serverless functions using a Quarkus quick start in the Developer Sandbox for Red Hat OpenShift. As you'll see, using quick starts in the Developer Sandbox lets you focus on the application development without needing to configure Knative.

The Developer Sandbox provides a shared, multi-tenant Red Hat OpenShift 4 cluster with a cloud IDE tool called Red Hat CodeReady Workspaces. All you need is a free account on Red Hat to get access for a limited time to a sandbox. Following the four steps in this article, you can stand up your own cluster in 10 minutes.

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A Java developer’s guide to Quarkus

Serverless architecture has already become an efficient solution to align overprovisioning and underprovisioning resources (e.g., CPU, memory, disk, networking) with actual workloads regardless of physical servers, virtual machines, and cloud environments. Yet, there is a concern for Java developers when choosing new programming languages to develop serverless applications. The Java framework seems too heavyweight and slow for serverless deployment on the cloud, especially Kubernetes.

What if you, Java developer, could keep using the Java framework to build traditional cloud-native microservices as well as new serverless functions at the same time? This approach should be exciting since you don’t have to worry about a steep learning curve for new serverless application frameworks.

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The State of Serverless Computing 2021

Serverless computing is redefining the way organizations develop, deploy, and integrate cloud-native applications. According to an industry report, the market size of serverless computing is expected to reach 7.72 billion by 2021. A new and compelling paradigm for the deployment of cloud applications, serverless computing is at the precipice of enterprise shift towards containers and microservices.

In the year 2021, the serverless paradigm shift presents exciting opportunities to organizations by providing a simplified programming model for creating cloud applications by abstracting away most operational concerns. Major cloud vendors Microsoft, Google, and Amazon are already in the game with their respective offerings and there is no reason you shouldn't board the train.

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Stateful Functions: An Open Source Framework for Lightweight, Stateful Applications at Scale

At Flink Forward Europe 2019, Stephan Ewen from ververica announced the release of Stateful Functions, an open-source framework that reduces the complexity of building and orchestrating distributed stateful applications at scale. Stateful Functions brings together the benefits of stream processing with Apache Flink and Function-as-a-Service (FaaS) to provide a powerful abstraction for the next generation of event-driven architectures.

In this article, we will explain the motivation behind building Stateful Functions, and why we proposed the project to the Apache Flink community as an open-source contribution.