A step-by-step guide from traditional Java EE to reactive microservice design
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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.
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Integration testing is always a difficult area. You need to make sure that all system dependencies are prepared, data is correctly initialised for each run and test runs do not interfere with each other. Even with tools like the Arquillian Framework, writing integration tests can be a complicated task and the act of maintaining large sets of tests can become a nightmare if there's not enough knowledge of all dependencies involved.
With the Testcontainers project, convoluted and complicated integration tests can be a thing of the past. A test container allows you to create reliable integration tests covering a wide range of scenarios like using databases, microservices interactions and even GUI and user experience testing. One of the important factors for the success of this framework is the usage of Docker containers to create a reliable reproducible environment for each test, which separates the dependencies and the application code in a way that it is easy to maintain for developers.
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In this webinar, Payara Services CEO and Founder Steve Millidge will explain aboutPayara Cloud: how it works, why you might need it, how it can save you time and money.
Steve will explain what a truly “Serverless” solution consists of: how the user does not need to worry about application servers, instances, domains, hosts, Docker containers or any of the traditional concepts. He will explain how serverless can be brought about and its benefits, as well as demonstrating it on a runtime 100% designed forJakarta EEandMicroProfile: Payara Cloud.
Jakarta Concurrency: Present and Future
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GlassFish Migration Webinar 2022 Current version.pptx
If you’re running GlassFish in your production or development environment and are worried about the lack of support, infrequent application server releases, lack of bug fixes and patches – Then you might be considering migration.
Payara Server is an open source application server originally derived from GlassFish – supporting reliable and secure deployments of Jakarta EE (Java EE) applications in any environment: on premise, in the cloud or hybrid. To do our part to help advance the Jakarta EE project, Payara Services is a project lead for GlassFish, the Jakarta EE compatible implementation, but we recommend Payara Server Enterprise for your production environments for our included support services, stability, and security.
Migrating from GlassFish to Payara Server can be a simple and straightforward process. In this webinar, Payara CEO Steve Millidge will explain all the things you need to consider in order to make a migration as smooth as possible.
If you have any questions about the above, this will be a great opportunity to get answers directly from the source.
10 Strategies for Developing Reliable Jakarta EE & MicroProfile Applications ...
Ever thought of implementing a modern cloud architecture with Jakarta EE and MicroProfile applications but don’t know which practices to follow? This talk will highlight 10 strategies that will help you implement robust scalable cloud-ready applications!
Securing Microservices with MicroProfile and Auth0v2
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. To combat this pattern, third-party security services such as Auth0 have been devised to externalize the security of services, and they focus on stable implementations of common enterprise use cases (identity management, OAuth compatibility, and so on), and platforms such as Eclipse MicroProfile allow for their easy integration with enterprise Java microservices. Moreover, in combination with Kubernetes, MicroProfile is a very powerful tool to simplify securing microservices, monitoring them and creating reproducible deployments. This presentation showcases the strength of combining MicroProfile and an OAuth service by doing a live demonstration of securing enterprise Java microservices in Kubernetes.
Reactive features of MicroProfile you need to learn
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
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.
Transactions in Microservices
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
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)
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
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
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
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
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 -_be_reactive_and_micro_with_a_microprofile_stack
This document discusses reactive microservices using MicroProfile specifications. It introduces MicroProfile as an open-source specification for Java microservices. The goals of MicroProfile are to provide better user experiences, save resources/costs, handle massive loads, and recover from failures. The document then explains the basics of reactive programming and how the reactive pipeline of subscribe, process, and publish fits within MicroProfile 2.0's support for reactive REST/SSE, async CDI events, and monitoring via metrics. It acknowledges some missing pieces and outlines plans to add further reactive capabilities to MicroProfile from Java EE 8, RxJava, and other technologies.
Java2 days 5_agile_steps_to_cloud-ready_apps
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]
Gaurav Gupta at The Great Indian Developer Summit 2018 presenting: "Rapid development tools for Java EE 8 and MicroProfile"
Ondrej mihalyi be reactive and micro with a micro profile stack
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.
Bed con Quest for JavaEE
This document discusses MicroProfile, which aims to optimize Enterprise Java for microservices architectures. It provides examples of lightweight Java EE implementations like Payara Micro that reduce file size and startup time. MicroProfile seeks to standardize common microservices patterns through a rapid release process. The first release includes configurations, JSON processing and CDI. Future areas of focus include fault tolerance, health checking and metrics. A demo application shows various implementations deploying a microservices application with minimal resource usage. The document advocates for the Java EE community to collaborate on MicroProfile and influence the future direction of the Java EE platform.
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- 1. A step-by-step guide from traditional Java EE to reactive microservice design Ondrej Mihályi @OndroMih https://ondro.inginea.eu
- 2. Engineer at Payara Java EE developer, lecturer MicroProfile member Czech JUG leader Ondro Mihályi Web: ondro.inginea.eu www.payara.fish Twitter: @OMihalyi
- 3. Reactive improvements Separation to micro-svc Deploy with Docker https://github.com/OndrejM-demonstrations/ ReactiveWay-cargotracker-ext Agenda
- 4. @ONDROMIH Majority of the enterprise code Request started → resource required (DB, WS, files) → request the resource → the resource is slow WHAT DO WE DO? (hint: it’s quite natural)
- 6. @ONDROMIH We simply... ...WAIT No shame, we all do it Simple Thread-safe Enough in most cases
- 8. @ONDROMIH If waiting is too long... Thread resources are wasted Processing may slow down or halt if all threads waiting Users don’t receive a timely feedback Failures lead to more failures
- 9. @ONDROMIH If waiting is too long... Thread resources are wasted Processing may slow down or halt if all threads waiting Users don’t receive a timely feedback Failures lead to more failures
- 11. @ONDROMIH Reactive idea in a nutshell Single-threaded Reactive - not bound to a thread
- 12. @ONDROMIH Threads reused between calls
- 13. @ONDROMIH Example traditional application We’re going to improve it reactively Original project: https://github.com/javaee/cargotracker Reactive improvements: https://github.com/OndrejM-demonstrations/Rea ctiveWay-cargotracker-ext
- 16. @ONDROMIH Chaining callbacks CompletableFuture in Java 8 complete, completeExceptionally thenAccept, thenApply, thenCompose exceptionally Alternatively use third-party libraries RxJava observables
- 17. @ONDROMIH 3. Messages WebSocket, Server-Sent Events CDI events Light-weight but extensible API Events don’t cross JVM boundaries Can we turn them into messages?
- 18. @ONDROMIH Even more reactive design
- 19. @ONDROMIH Simple messaging and caching Payara CDI Event Bus Async events on all nodes On top of CDI events Uses Hazelcast JCache API Scalable distributed memory Replication and failover @Inject @Outbound Event<MyMsg> ev; /* handle in the same or a different JVM: */ void handle(@Observes @Inbound MyMsg ev) { … }
- 20. @ONDROMIH Multiple threads, need to track origin and arrival of responses, errors may be unnoticed, new design patterns Don’t over-engineer, but leave space for future improvements Java EE and MicroProfile allow for gradual improvements Reactive programming isn’t easy