Joget Blog

EDITOR’S NOTE November 2020 : This post was originally published in June 2019. Please refer to the Knowledge Base for the latest tutorial. Introduction to Containers, Docker and Kubernetes Container technologies such as Docker and Kubernetes are essential in modern cloud infrastructure, but what are they and how do they work? This article will present a quick introduction to the key concepts. To help you further understand the concepts in a more practical manner, the introduction will be followed by a tutorial in setting up a local development copy of Kubernetes. We will then deploy a MySQL database and the Joget application platform to provide a ready environment for visual, rapid application development. Containers Containers are a way of packaging software so that application code, libraries and dependencies are packed together in a repeatable way. Containers share the underlying operating system, but run in isolated processes. At this point you might be asking how a c...

Building a prototype of a Laboratory Information Management System (LIMS) for bloodstream infection analysis.  Article contributed by Baptiste, Engineering Coordinator for the Mini-Lab Project Our non-profit, Doctors without Borders has recently chosen Joget Workflow for the Mini-Lab project. This project aims at developing a transportable, all-in one, cost-effective laboratory for bloodstream infection analysis. The laboratory would be deployed in Low to Middle Income Countries (LMIC) in order to address the issue of Antibiotic Resistance (ABR), the World Health Organization (WHO) having identified this as a global health threat. One of the reasons of the emergence of ABR in the developing world is the lack of microbiology laboratories. Doctors without Borders thus initiated the Mini-Lab project to fill that gap. The first version of our Joget app was used as a demonstrator recently in Brussels during the first presentation of the Mini-Lab. It allowed exploring the differ...

As we approach the 10th anniversary of the Joget open source project, the Joget team is proud to announce that we’ve hit the milestone of 200,000 open source downloads (not counting many more in enterprise downloads and cloud signups) before the end of March 2019!   Joget is an open source no-code/low-code application platform for faster, simpler digital transformation. Joget combines the best of business process automation, workflow management and rapid application development in a simple, flexible and open platform. Visual and web-based, it empowers non-coders to instantly build and maintain apps anytime, anywhere. Joget started as the open source Joget Workflow project on SourceForge in 2009. Initially a workflow engine for business process automation, Joget evolved into a full-fledged application development platform in its third major release Joget Workflow v3 in 2011, back before the term “low code” was even coined by Forrester in 2014. The latest major relea...

A hackathon entitled “Business Applications @ The Speed of Thought with Joget” will be held on 29-30 March 2019 at Carnegie Mellon University to challenge student teams to rapidly design and build business applications. Hosted by the Tepper School of Business , students will have the opportunity to immerse themselves in a set of business problems that will require innovation, collaboration, communication and leadership, as they sharpen their research, strategy and analytical skills. It will not just be a challenge, but also a valuable experience that students will go through to give them a preview of what organizations are facing in the business world. Students will have limited time to learn, design and develop solutions within a day. In order to deliver fast for this hackathon, students will be leveraging the open source Joget no-code/low-code application platform . With a simple, visual approach to rapidly build applications, non-coders and business students without programming ...

The Joget team is proud to announce that the first preview release for Joget DX is now available for download! What is Joget DX? Joget DX  is a next generation open source application platform for faster, simpler digital transformation (DX). Joget DX combines the best of business process automation , workflow management and low code application development in a simple, flexible and open platform. With Joget DX business and technical teams can collaborate to rapidly build full-fledged enterprise applications visually, anywhere, anytime. Joget started as the open source Joget Workflow project on SourceForge in 2009. Initially a workflow engine for business process automation, Joget evolved into a full-fledged application development platform in its third major release Joget Workflow v3 in 2011, back before the term “low code” was even coined by Forrester in 2014. With almost 200,000 open source downloads and more than 10,000 community members since inception, the ...

Last year, we launched Joget Academy with the Basic Joget Workflow v6 for App Designers course to empower users with a guided self learning course to get started with building no-code/low-code apps on the Joget platform. Today, we are pleased to announce a couple of new additions to Joget Academy: Advanced Joget Workflow v6 for App Designers The new Advanced Joget Workflow v6 for App Designers course is a follow up to the basic course. Learn about advanced app building techniques, development best practices, and follow tutorials of more highly demanded features. Joget Certified App Designer Looking to prove your competency as a professional Joget app designer? Get recognized with the new Joget Certified App Designer certification to demonstrate your proficiency at designing, building and managing apps on the Joget Workflow platform. Visit the Joget Academy at academy.joget.org to get started.

Red Hat OpenShift is a container application platform that brings Docker and Kubernetes to the enterprise. As an open source no-code/low-code platform to visually build enterprise web apps for coders and non-coders, Joget is an ideal complement to OpenShift to accelerate the app development process. In the article How to Visually Build Apps with Joget and Red Hat OpenShift Container Platform , we introduced the steps to deploy Joget on OpenShift with the  Certified Container Image for Red Hat OpenShift . Here’s a video for the same tutorial for easier consumption: With the Joget platform deployed, it’s now possible to build a full-fledged app with dashboards, calendar, approval workflow and data management within 30 minutes. The video below demonstrates an authentic, real-time example of building the app from scratch. Users can also download the Joget Mobile App from the Apple App Store and Google Play Store to access the very same app with the UI automatic...

  Joget DX is an open source no-code/low-code application platform that introduces innovative features such as automatic support for progressive web apps (PWA) , integrated application performance management (APM) and built-in artificial intelligence (AI) support.  In the previous article A Quick Introduction to Artificial Intelligence, Machine Learning, Deep Learning and TensorFlow , we introduced the concepts behind these terms, and how things generally work. In this article, we’ll have a look at how to incorporate TensorFlow for AI use cases on the Joget platform. AI and Decision Support Features in Joget DX To simplify process automation, Joget DX supports Decision plugins that can be mapped to process routes for decision making. Several implementations are bundled, including a no-code Rules Engine and a no-code TensorFlow plugin to execute pre-trained models. The AI focus in Joget DX is to simplify the integration of pre-trained AI models into end user...

What used to be just a pipe dream in the realms of science fiction, artificial intelligence (AI) is now mainstream technology in our everyday lives with applications in image and voice recognition, language translations, chatbots, and predictive data analysis. In this article, we’ll introduce AI along with its related terms machine learning and deep learning. By the end of the article you should understand these terms, how things generally work and be more familiar with terms like Inception and YOLO (and no, we’re not talking about the Leonardo DiCaprio movie or some internet meme). Artificial intelligence (AI) is the simulation of human intelligence by computers. Machine learning is a branch of AI where algorithms are used to learn from data to make future decisions or predictions. Deep learning is a specific subset of machine learning using artificial neural networks (ANN) which are layered structures inspired by the human brain. The following diagram shows more clearly...