The serverless Java journey started out with functions. Before Java developers can start developing new serverless functions, their first task is to choose a new cloud-native Java framework. Get started with Java serverless functions.
The serverless Java journey started out with functions—small snippets of code running on demand. This phase didn't last long. Although functions based on virtual machine architecture in the 1.0 phase made this paradigm very popular, as the graphic below shows, there were limits around execution time, protocols, and poor local-development experience.
Developers then realized that they could apply the same serverless traits and benefits to microservices and Linux containers. This launched the 1.5 phase, where some serverless containers completely abstracted Kubernetes, delivering the serverless experience through Knative or another abstraction layer that sits on top of it.
In the 2.0 phase, serverless starts to handle more complex orchestration and integration patterns combined with some level of state management. More importantly, developers want to keep using a familiar application runtime, Java, to run a combination of serverless and non-serverless workloads in legacy systems.
Before Java developers can start developing new serverless functions, their first task is to choose a new cloud-native Java framework that allows them to run Java functions quicker with a smaller memory footprint than traditional monolithic applications. This can be applied to various infrastructure environments, from physical servers to virtual machines to containers in multi- and hybrid-cloud environments.
Developers might consider an opinionated Spring framework that uses the
java.util.function package in Spring Cloud Function to support the development of imperative and reactive functions. Spring also enables developers to deploy Java functions to installable serverless platforms such as Kubeless, Apache OpenWhisk, Fission, and Project Riff. However, there are concerns about slow startup and response times and heavy memory-consuming processes with Spring. This problem can be worse when running Java functions on scalable container environments such as Kubernetes.
Quarkus is a new open source cloud-native Java framework that can help solve these problems. It aims to design serverless applications and write cloud-native microservices for running on cloud infrastructures (e.g., Kubernetes).
What is OpenJDK? OpenJDk or Open Java Development Kit is a free, open-source framework of the Java Platform, Standard Edition (or Java SE).
This tutorial explains how to optimize Java performance to run Serverless functions on Kubernetes using Quarkus. Achieve faster startup and a smaller memory footprint to run serverless functions on Kubernetes.
Getting started with Java Serverless Functions using Quarkus and AWS Lambda. The serverless journey started with functions - small snippets of code running on-demand and a short period in Figure 1. AWS Lambda in the “1.0” phase made this paradigm very popular.
In this article, we will talk about the most important new feature introduced with Java 10, officially called local variable type inference. An extremely important function in java. You will regret skipping this article.
Optimize Java serverless functions in Kubernetes. A new Kubernetes-native Java stack. This article explains how to optimize Java performance to run serverless functions on Kubernetes using Quarkus.