In 2009, Gartner Says: Citizen Developers Will Build at Least 25 Percent of New Business Applications by 2014.
“…Future citizen-developed applications will leverage IT investments below the surface, allowing IT to focus on deeper architectural concerns, while end users focus on wiring together services into business processes and workflows,” said Eric Knipp, senior research analyst at Gartner. “Furthermore, citizen development introduces the opportunity for end users to address projects that IT has never had time to get to — a vast expanse of departmental and situational projects that have lain beneath the surface…”
That prediction is yet to come true, in my opinion, but the idea of a class of developers in the integration domain referred to as Citizen Integrators was born. Citizen Integrators are the class of integrators whose day job is not in IT Integration. These people understand the business. They are tech savvy to a certain degree but do not necessarily have a deep understanding of the underlying technology. For simple integrations, Citizen Integrators using the proper tools can do the job freeing up expensive IT Integration resources to do more complex integrations.
FUSE Ignite is the tool designed for Citizen Integrators. It is not meant to replace FUSE Standalone or FUSE on Openshift. For complex integrations, FUSE development by developers using an IDE is still the way to go.
FUSE Ignite is supported only on Openshift and comes with a FUSE subscription. Use of FUSE Online, the SaaS version of FUSE Ignite, is not part of a FUSE subscription though.
In Part 1, I implemented a simple database application using Wildfly Swarm and deployed it on Openshift. In this article, I am going to do the same but using Spring Boot instead so that you can see the difference between using different frameworks for your development. I shall also describe the use of spring-cloud-starter-kubernetes-config in accessing ConfigMap in Openshift deployment which is slightly different from I I read in the documentation.
At the end of this article, I shall summarise my view on the pros and cons of each framework in the context of ease of developing this simple database application. You may want to compare it with the Verti.x and Fuse Integration Services (FIS) implementation in my previous 2-part article on Vert.x (Part 1 and Part2). By the way, the FIS implementation is also using Spring Boot but it uses FUSE’s REST Domain Specific Language (DSL). Continue reading RHOAR: Wildfly Swarm vs Spring Boot Microservices – Part 2
Red Hat Openshift Application Runtime (RHOAR) comes with a number of frameworks/toolkits for implementing microservices. In previous articles on Vert.x (Part1 and Part2), I compared Vert.x with Fuse Integration Services (FIS). I am going to compare two other popular frameworks that come with RHOAR in this article. They are: Wildfly Swarm and Spring Boot. I am going to show you how to implement the same database access application implemented in Vert.x and FIS in my two previous articles so that you can compare the level of difficulty for using these frameworks. This is kind of an unfair comparison as most of you are either JEE or Spring developers and you will always find that your framework is easier to use than others especially when compared to Vert.x as it requires learning a new way (reactive programming) of implementing an application. Continue reading RHOAR: Wildfly Swarm vs Spring Boot Microservices – Part 1
Some users want to use JBoss Business Process Management Suite (BPMS), or its upstream jBPM Open Source Business Process Management solution, as a documentation tool as well as an executing engine for business processes and business rules, but…
BPMS is not designed as a documentation tool
BPMS has some metadata search capability but not sufficient for the scenario customers have in mind
Customers want a much more powerful search capability
Customers want a single source of truth for all business assets for both documentation and execution purposes
THE MISSION: ENHANCE THE DOCUMENTATION AND SEARCHING CAPABILITIES OF BPMS/BRMS
I created a couple of youtube videos suggesting how this could be done:
The first video defines the mission and discusses 2 approaches to achieve the mission.
The second video describes how I created a prototype and how it looks like and works. The searching capabilities is on a different level from that of BPMS’.
However, more work needs to be done to realise a proper solution for the problem. I shall be adding more videos when new ideas come to mind. Stay tuned!
Red Hat recently released the Red Hat Openshift Application Runtimes (RHOAR) which includes a number of useful frameworks/toolkits including: Wildfly Swarm, Vert.x, Spring Boot, Netflix OSS and node.js (technology preview).
Among the RHOAR components, Vert.x is completely new to me. Vert.x is a polyglot toolkit for building reactive applications on the JVM. This means that, like node.js, it is event driven and non-blocking and can handle high concurrency using a small number of kernel threads. In other words, it can scale with minimal hardware. In this article, I am going to experiment with Vert.x and compare it to Fuse Integration Servcies (FIS) in building a cloud native microservice. So, please join me on my journey into the world of Vert.x and build a Vert.x application which uses dependency injection deployed on Openshift. Continue reading RHOAR: Vert.x Microservices Toolkit Compared to Fuse Integration Services – Part 1
Here is part 1 of my docker swarm article published in the ODROID Magazine. ODROID Magazine is a free monthly e-zine featuring hardware and software articles related to the latest ARM and single board computer technology since January 2014. Although this tutorial is designed to run on the ODROID-C2 single board computer, all the commands that you learn apply equally well on INTEL-based machines running the docker engine. The commands are exactly the same. Once learnt and you can apply your docker command line knowledge to different environments including Linux, macOS, Windows and on a cloud host.
Part 1 discusses the docker swarm features.
Part 2 describes the ‘docker stack deploy’, you can think of it as Docker Compose for swarm mode, capabilites.
In a previous article, I deployed services in my ORDOID-C2 cluster using the Docker command line. It works but there must be a better way to do deployment especially when an application requires multiple components working together. Docker 1.13.x introduced the new docker stack deployment feature to allow deployment of a complete application stack to the swarm. A stack is a collection of services that make up an application. This new feature automatically deploys multiple services that are linked to each other obviating the need to define each one separately. In other words, docker-compose in swarm mode. To do this, I have to upgrade my Docker Engine from V1.12.6 that I installed using apt-get from the Ubuntu software repository to V1.13.x. Lucky for me, I’ve already built V1.13.1 on my ODROID-C2 myself months ago when I was experimenting unsuccessfully with swarm mode due to missing kernel modules in the OS I used at the time. See my previous article for more information on this. It is just a matter of upgrading all my ODROID-C2 nodes to V1.13.1 and I am in business. Continue reading Using Docker Stack Deploy on my ODROID-C2 Cluster