Learning Process Driven Application Development with JBoss BPM

Are you interested in an introduction to the concepts of process management (BPM)?

Do you want to learn how your business can leverage process driven application delivery?

Are you looking for an easy to understand guide to mastering Red Hat JBoss BPM Suite tooling?

Do you want a step-by-step introduction to setting up JBoss BPM Suite, then coverage of practical and important topics like data modeling, designing business rules and processes,  detailed real world examples, and tips for testing?

For the last few years I’ve been working on putting years of working with JBoss BPM Suite, community projects Drools and jBPM together in one easy to understand book.

In 2017, Red Hat put the first chapter online for free and literally thousands downloaded it starting their journey on the road to delivering process driven application with JBoss BPM Suite. Many of you have reached out over the years to ask about the completion of this book and where you can get it.

The good news isthat the book is available and Red Hat’s providing ebook downloads for free!

Let’s look at how this works, shall we?

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Cloud Native Application Development – Adopt or Fail

In today’s digital world, software strategy is central to business strategy. To stay competitive, organizations need customized software applications to meet their unique needs — from customer engagements to new product and services development. Drawn-out development projects are no longer acceptable, given business demands. Therefore, the need to speed up application development, testing, delivery, and deployment is no longer optional but a must-have competency.   

At the same time that developers are confronting this challenge to deliver solutions more quickly, they are also facing the most diverse technology ecosystem in the history of computing.  To address this challenge, development teams must modernize architecture, infrastructure, and processes to deliver higher-quality applications with greater agility.

Cloud native development is an approach to building and running applications that fully exploits the advantages of the cloud computing model.  Cloud native development multidimensionality involves architecture, infrastructure, and processes based upon four key tenets:

  1. Services-based architecture: could be microservices or any modular loosely coupled model for independent scalability and flexibility of maintenance and polyglot language runtimes.
  2. Containers and Docker image: as the deployment unit and self-contained execution environment with consistency and portability across cloud infrastructures.
  3. DevOps automation: implementing processes and practices and instrumentation of development to test deployment of applications.     
  4. API-based design: The only communication allowed is via service interface calls over the network. No direct linking, no direct reads of another team’s data store, no shared-memory model with an outside- in perspective.

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A DevOps approach to decision management

Sometimes we would like to change the behavior of an application fast. I mean, really fast.

Traditional development cycles for enterprise applications take weeks if not months for a new version to be ready in production. Even in the world of DevOps, containers, and microservices, where we can spin up new versions of an app in days, or even hours, we need to go through development cycles that are too far away from the business users.

Welcome to the world of business rules and decision services, along with low code development.

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The Business Value of JBoss Enterprise Application Platform – latest white paper by IDC

The latest edition of the white paper titled “The Business Value of JBoss Enterprise Application Platform,” which summarizes the benefits and value that Red Hat customers are seeing by moving to JBoss EAP, has been released.

As the paper states, “IDC interviewed organizations that are using JBoss EAP to develop and run various business applications. These study participants explained that they not only have significantly reduced platform costs with JBoss EAP but also are supporting important organizational IT initiatives such as containerization, microservices, and hybrid cloud use.” The interviewed participants varied in size from medium to large organizations and belonged to a set of diverse vertical industries.

Some of the results from this study are:

  • 481% 3-year ROI
  • 8-month payback period
  • $50K USD average annual benefits per 100 users
  • 43% more number of new application released per year
  • 21% faster time to deliver new applications
  • 38% more number of new features released per year
  • 74% less productive hours lost due to unplanned downtime per year

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The Role of Agile Integration in Open Banking

In the mid 90s, Bill Gates famously said that “banking is necessary, banks are not.” There is certainly a lot of truth in this statement. We all need banking services in some shape or form. But who delivers these services to us is secondary. In fact, Accenture concluded in a study conducted in 2016 asking over 30,000 people in 18 countries that if the tech titans like Google, Amazon, or Facebook would offer such services, 31% of the respondents would switch to them. This clearly imposes a significant threat on traditional banking institutions.

Another challenge that banks are facing worldwide are the increasing demands for regulatory compliance with respect to openness. Such regulations include, for instance, Payment Services Directive 2 (PSD2) in Europe, the Amendment Bill to Japanese Banking Law in Japan, the National Payments Corporation of India (NPCI) with the Unified Payment Interface, UK’s Open Banking standard by the Competition and Markets Authority (CMA), or the Open Banking Regime by Australia’s Federal Government. Banks approach these regulatory challenges in many different ways. Some see it as a serious business threat and only do the bare minimum for compliance; others see it as an opportunity and with smart investment start building banking platforms for the future.

Our suggestion for building the banking platform of the future resides on the principles of agile integration, which is an architectural approach centered around application programming interfaces (APIs) and API management. At its core, agile integration resides on the three pillars: distributed integration for greater flexibility, containers for the ability to scale better, and managed APIs for re-usability and hence speed. We described the details in an earlier post.  

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The 3 benefits of RHOAR, by Thomas Johnson, Shadow-Soft

The rise of microservices and containerized environments comes with its own set of demands and challenges for developers, who are being asked to quickly and reliably bring new features to market and adhere to strict best practices.

Thomas Johnston from our partner Shadow-Soft recognizes their pain points and offers the three benefits that RHOAR offers to speed up microservices development.

Read more here: Microservices slowing you down? Streamline the orchestration process with Red Hat OpenShift Application Runtimes (RHOAR)

Red Hat JBoss EAP – a platform for current and future workloads

There is this myth that Java EE containers aren’t fast and agile enough to build modern applications. Although this may be true for some app server vendors, it’s definitely not the case for Red Hat JBoss Enterprise Application Platform (JBoss EAP).  JBoss EAP is a modern application platform that includes a modular structure that allows service enabling only when required, improving startup speed.

With this in mind, we decided to run a comparison between JBoss EAP and other technologies that are touted to be the best for cloud-native applications. Not to our surprise, here are the results:

Note: The performance tests above were produced without any performance optimization, and if you run the tests yourself, you might get different results depending on your hardware and memory. The conclusion from the above results is that JBoss EAP is not slower and does not use more memory than the other runtimes.

When comparing a JBoss EAP instance running Java EE Web Profile app, a JBoss EAP running a Spring application, Tomcat and Spring Boot, you can see that in our tests, JBoss EAP running Java EE Web Profile was faster, used less memory, and had the highest throughput under load. You can find the entire test suite and source code at the following location:

https://github.com/tqvarnst/eap-vs-tomcat-vs-spring-boot

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Red Hat JBoss Enterprise Application Platform 7.1 Availability

The release of Red Hat JBoss Enterprise Application Platform 7.1 (JBoss EAP) is now available. JBoss EAP is Red Hat’s middleware platform, built on open standards and compliant with the Java Enterprise Edition 7 specification, which includes a modular structure that provides service enabling only when required, improving startup speed, memory footprint and performance. Included in this minor release are a broad set of updates to existing features. In addition, the release provides new functionality in the areas of security, management, HA, and performance, such as a new additional security framework that unifies security across the entire application server, CLI and web console enhancements, and load balancing profile, respectively. Also included are additions to capabilities related to the simplification of components such as a new additional EJB Client library, HTTP/2 Support and the ability to replace the JSF implementation as well as the JBoss Server Migration Tool to migrate from previous versions of JBoss EAP to JBoss EAP 7.1. With these new capabilities, customers can continue to reduce maintenance time and effort, simplify security, and deliver applications faster and more frequently, all with improved efficiency.

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How to Address the Challenges of a Pervasive Integration Strategy

Earlier this months at the Gartner ITxpo event, Massimo Pezzini presented the challenges that must be addressed by a pervasive enterprise integration strategy. In summary there are four types of hybrid challenges (see Massimo’s diagram below).

Gartner-HiP

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The State of Microservices Survey 2017 – Eight trends you need to know

During the fall of 2017, we conducted a microservices survey with our Red Hat Middleware and Red Hat OpenShift customers. Here are eight interesting trends discerned by the results:

1. Microservices are being used to re-architect existing applications as much as for brand new projects

There seems to be a strong emphasis in the market by technology vendors for positioning microservices as being only for new projects.  However, our survey reveals that organizations are also using microservices to re-architect existing and legacy applications.

Sixty-seven percent of Red Hat Middleware customers and 79 percent of Red Hat OpenShift customers indicated this. This data tells us that microservices offer value to users all along their IT transformation journey — whether they are just looking to update their current application portfolio or are gearing up new initiatives. So, if you are only focused on greenfield projects for microservices, it may be a good idea to also start evaluating your existing applications for a microservice re-architecture analysis. Microservices introduce a set of benefits that our customers have already started seeing, and they are applying these benefits not just to new projects but to existing ones as well.

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