Ondrej mihalyi be reactive and micro with a micro profile stack
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The document discusses how to build reactive microservices using a MicroProfile stack. It recommends taking a reactive and micro approach to build systems that can handle high loads and failures, provide better user experiences, and scale massively. It introduces MicroProfile as an open source specification for building reactive Java microservices and lists some of its reactive support capabilities. It also discusses adding additional reactive technologies like RxJava and React.js and demonstrates a reactive application built on these stacks with Payara Server and Micro, which support MicroProfile, Java EE, and other technologies for building reactive systems.
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Reactive features of MicroProfile you need to learnPayara Why reactive? How is MicroProfile related to reactive programming? There are many reactive Java libraries but they all work in a different way and provide different API. MicroProfile brings common reactive APIs that can be reused in many libraries to provide a unified experience for many Java developers. Including reactive operators, messaging, REST and more. The core MicroProfile reactive operators API is designed with care by experts behind popular reactive libraries. MicroProfile also provides reactive APIs for asynchronous messaging, REST and thread-control, as well as interceptors to improve the fault-tolerance of your applications. On top of that, MicroProfile aspires to bring unified reactive APIs to Jakarta EE and even to Java SE to make them more accessible to every Java developer. Learning MicroProfile API once will make it easier to get you started with many reactive frameworks with less additional learning.
Effective cloud-ready apps with MicroProfile
Effective cloud-ready apps with MicroProfilePayara Presented during Payara Japan Tour 2019 (https://blog.payara.fish/payara-on-tour-in-japan).
In this session, you'll learn how to develop applications that evolve according to your needs, can easily run in the cloud and integrate with common cloud technologies. We'll start with a simple application, focusing on business logic. MicroProfile framework, powered by a lightweight opensource Payara Micro runtime, will get us started quickly and allow gradual improvements later.
MicroProfile contains a lot of components that make developers productive. It allows separating business logic from common concerns like configuration, failure-recovery, REST service calls, context propagation across service calls and securing services. Adding all of these to existing code is easy. It's also easy to introduce new microservices as needed and adopt cloud technologies as your application grows. I'll show you how, in a step-by-step demo. And if time allows, I'll also show how to run and scale your application effectively with Kubernetes in the cloud.
A step-by-step guide from traditional Java EE to reactive microservice design
A step-by-step guide from traditional Java EE to reactive microservice designPayara Have you wondered how you can improve the design of your applications to improve its performance? You probably heard that reactive design can lead to better response times and more flexible apps. But youre asking: Do I need to rewrite my apps from scratch? Do I need to learn a new framework for all that? The answer is no, especially if your application is built on top of Java EE and Java 8.
Together, we will explore how we can migrate parts of an existing Java EE application step-by-step, in order to increase its response time, throughput, and make it more flexible and robust. We will go through examples how to apply reactive design to a traditional codebase, using standard API from Java SE, Java EE and MicroProfile, split a monolith into several microservices and deploy them to cloud.
Transactions in Microservices
Transactions in MicroservicesPayara This document discusses transactions in microservices architectures and introduces MicroProfile Long Running Actions (LRA) as a solution. It provides an overview of LRA components and flow, and key concepts like compensation and timeouts. Code examples demonstrate using LRA annotations to define long-running transactions across multiple services.
Fun with Kubernetes and Payara Micro 5
Fun with Kubernetes and Payara Micro 5Payara When developing a microservices architecture using containers, orchestration is key to provide an elastic scalable infrastructure. Kubernetes (w/ Docker) and Payara Micro 5 make this possible! This talk will showcase how to implement all of this for a real production scenario!
What's new in Jakarta EE and Eclipse GlassFish (May 2019)
What's new in Jakarta EE and Eclipse GlassFish (May 2019)Payara Jakarta EE is now the standard for server-side Java under the Eclipse Foundation. It inherits from Java EE 8. The first Jakarta EE specification will be very similar to Java EE 8. Future versions like Jakarta EE 9 will include renamed specifications from Java EE with minor improvements. Developers should understand the transition from Java EE to Jakarta EE and get involved to help shape its future.
Previewing Payara Platform 5.192
Previewing Payara Platform 5.192Payara This document previews updates to Payara Platform 5.192, including preliminary JDK 11 support, native Docker support, MicroProfile 2.2 compatibility, and improvements to EJB remote access over HTTP. Potential future additions are also outlined, such as full JDK 11 support, new monitoring tools, Jakarta EE 8 certification, and better public cloud integration.
Secure JAX-RS
Secure JAX-RSPayara With the rise of micro-services, REST communication is more popular than ever. But the communication between the different parts must also be performed in a secure way.
First, we need to know if the user or system is allowed to call the JAX-RS endpoint. For this authentication part, self-contained tokens are the best option to not overload any of our services in the system. JWT which contains the authentication but also can contain the authorization info is ideal for this use-case.
And secondly, we need guarantees that the message isn't altered, that we can have message integrity. For that part, we can use signatures as specified in the HTTP signature draft specification.
Gradual Migration to MicroProfile
Gradual Migration to MicroProfilePayara The goal of MicroProfile is to optimise Java EE for a micro-service architecture. It is based on some of the Java EE specifications and standardise a few technologies from the micro-services space.
However, some of the MicroProfile implementations are completely different 'servers', like the KumuluzEE server. So how can you migrate easily from your favorite Java EE server to a MicroProfile implementation?
This session shows you an overview of what MicroProfile.IO is and how it relates to Java EE. It then demonstrates with a few examples how you can adjust your Java EE application to incorporate some of the MicroProfile.IO specifications and how you can transform your Java EE application to a MicroProfile.IO one using Thorntail, Payara Micro, and KumuluzEE.
Monitor Microservices with MicroProfile Metrics
Monitor Microservices with MicroProfile MetricsPayara Microservices architecture has many benefits. But it comes at a cost. Running microservices and monitoring what’s going on is tedious. That’s why MicroProfile adopts monitoring as a first-class concept. In this session, learn how MicroProfile runtimes collect metrics and how to seamlessly collect them with tools like Prometheus and Grafana. Learn how MicroProfile makes it easy to connect information about interrelated service calls, how to gather the information and analyze system bottlenecks, how to deploy and scale MicroProfile applications with Kubernetes and how to react to their health status to detect and automatically recover from failures.
Java2 days 5_agile_steps_to_cloud-ready_apps
Java2 days 5_agile_steps_to_cloud-ready_appsPayara This document discusses 5 steps to building elastic and cloud-ready applications:
1. Use JCache for temporary caching to optimize reads and allow for scalable storage with distributed caches.
2. Choose a scalable runtime like Payara Micro that can run applications as executable JARs across multiple instances dynamically.
3. Design RESTful services APIs for client/server communication using JAX-RS.
4. Leverage messaging with CDI events within applications and potentially other technologies like JCA connectors for communication across services.
5. Abstract configuration with MicroProfile Configuration for pluggable, scoped configuration from various sources.
Rapid development tools for java ee 8 and micro profile [GIDS] ![Rapid development tools for java ee 8 and micro profile [GIDS]](https://cdn.slidesharecdn.com/ss_thumbnails/rapiddevelopmenttoolsforjavaee8andmicroprofilegids1-180517150237-thumbnail.jpg?width=560&fit=bounds)
Rapid development tools for java ee 8 and micro profile [GIDS] Payara Gaurav Gupta at The Great Indian Developer Summit 2018 presenting: "Rapid development tools for Java EE 8 and MicroProfile"
Payara Micro from Raspberry Pi to Cloud
Payara Micro from Raspberry Pi to CloudPayara This document discusses Payara Micro, an open source application server derived from GlassFish that is designed for microservices and container deployments. It can scale from small devices like Raspberry Pi to large cloud data grids. The document demonstrates a sample application that measures humidity from a Raspberry Pi sensor, publishes clustered events, loads the data to a grid, and exposes REST services - scaling from the device to a Payara Micro cluster on Azure and integrating with cloud services. Payara Micro supports key features like clustering, embedded data grids using JCache, and integration with cloud technologies using JCA connectors.
Microprofile and EE4J update
Microprofile and EE4J updatePayara - Payara plans to grow Payara and Hazelcast in Japan by providing Japanese language support and resources and evangelizing the technologies.
- The presentation introduces Eclipse MicroProfile and Eclipse EE4J, open source projects moving Java EE technologies to Eclipse, including MicroProfile 1.2 specifications supported in Payara 5.x.
- MicroProfile and EE4J provide opportunities for open source and code-first development, an open test suite, better quality testing, and broader participation.
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