Microservices

Why Java Developers Continue to Rely on Jakarta EE

Over the past year, the Eclipse Foundation spoke to leading Java developers around the world to discuss why they rely on Jakarta EE and the unique benefits of using Jakarta EE technologies.

Their input is captured in our white paper, which describes the important advantages Jakarta EE offers today and for the future.

2021 Jakarta EE Developer Survey

This is the fourth Jakarta EE Developer Survey, so it is safe to say that it has become an annual tradition and is your chance to influence the direction of the Jakarta EE working group.

The survey last year had more than 2000 responses from individuals around the World. Let’s beat that number this year!

Building Microservices with Spring Boot Fat (Uber) Jar

In most minds, microservices is an approach to make a traditional monolithic system more structured, dividing it into logical components that correspond to different functional areas of application.

Thus, acting as a microservice, each component becomes self-contained, easily scaled, maintained and even upgraded without affecting the overall system.

Also, with a microservice architecture, you can use a software written in different programming languages, including Java.

Such freedom attracts but may frighten at the same time.

Payara Platform 2021 Survey

The Payara Platform 2021 Survey is underway and we’re inviting everyone to answer a few questions about your use of the Payara Platform and ecosystem components.

We want to know what you like, what you want to see improved, and we’re giving you the opportunity to vote on new features you’d like to see added to the Payara Platform.

Your survey  answers help drive future development efforts for the Payara Platform.

MicroProfile OpenTracing with Jaeger

The MicroProfile OpenTracing specification defines behaviours and an API for accessing an OpenTracing compliant Tracer object within your JAX-RS application. The behaviours specify how incoming and outgoing requests will have OpenTracing Spans automatically created. The API defines how to explicitly disable or enable tracing for given endpoints.

Jaeger, inspired by Dapper and OpenZipkin, is a distributed tracing system released as open source by Uber Technologies. It is used for monitoring and troubleshooting microservices-based distributed systems.

How To Bring Your Java Microservices To The Cloud

All companies are software companies, and businesses will always experience the challenge of keeping integrations between users and applications scalable, productive, fast, and of high quality.

To combat this, cloud, microservices, and other modern solutions come up more and more in architectural decisions.

Here is the question: Is Java prepared to deal with these diverse concepts in a corporate environment?

Java Predictions for 2021: Jakarta EE

To celebrate the world of Java and predict our highlights for 2021, several key Foojay participants will share their thoughts and hopes during the coming days on Foojay, starting with Frank Delporte, Foojay Community Manager for the Raspberry Pi, and now continuing with Jadon Ortlepp, Foojay Community Manager for Microservices, who here provides the predictions of his Payara colleagues on Jakarta EE in 2021.

“Jakarta EE will start driving improvements in APIs and Project Loom will drive new releases of many frameworks.”

Cloud Myth: Ahead of Time Compilation Will Save You Money

The two main advantages of Java AOT natively compiled microservice frameworks are rapid boot times and reduced JVM memory usage. While technically impressive, the reality is that neither of these advantages delivers a significant economic or technical advantage when deploying to public clouds.

Many Jakarta EE runtimes (like Payara Micro) are small and fast. They can run Jakarta EE applications as either monoliths or microservices in the cloud now, with no need to adapt or rewrite your applications to proprietary frameworks.

MicroProfile Metrics with Prometheus and Grafana

In a distributed microservices architecture, it is important to have an overview of your systems in terms of CPU, memory management and other important metrics.

This is called Observability, measuring the internal state of a system, in this case, the micro-services instances.

The goal of MicroProfile Metrics is to expose monitoring data from the implementation in a unified way. It also defines a Java API so that the developer can define and supply his own values.

Getting Started with Payara Server

In this article, you’re presented with four short videos that will take you step-by-step through installing, writing, and deploying an application to Payara Server, even if you’ve never used the application server before.

Visit the Payara Getting Started page for further resources on getting started, including: Configuring, Adding a data source, Adding functionality, monitoring, security auditing, Creating a Restful Web Service, Logging, Testing Apps, etc.

Securing Microservices with Auth0 and MicroProfile in Kubernetes

In this day and age, securing enterprise platforms is a challenge that developers and consultants tackle in an uninformed manner, producing subpar solutions in most cases.

This presentation by Ondrej Mihalyi at DevOpsCon showcases the strength of combining MicroProfile and an OAuth service by doing a live demonstration of securing enterprise Java microservices in Kubernetes.