Get along with JHipster

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JHipster is a trendy Yeoman generator that provides the possibility to create an AngularJS + Spring Boot project from the scratch in no time. I would like to share the idea of JHipster and a set of tools that it comprises. I will superficially cover scaffolding and the explicit tool, that makes scaffolding plain and easy to adopt, named Yeoman. Started in October 2013, JHipster has grown and obtained a developing community, furthermore, it is growing rapidly as for the past year about 150 programmers contributed to it. During the presentation, I want to perform a live demonstration of creating a new project based on the aforementioned core and a few subsidiary technologies. Since JHipster includes a great deal of technologies it’s a good source of common practices.

Software

JHipster
Create a Spring Boot + AngularJS project in no time.

Dmytro Panin
▪ Senior Java Developer
▪ Java Architect
https://www.linkedin.com/in/DmytroPanin
dmytro.panin@gmail.com https://github.com/dr-mod/jhipster-books/
About me
http://www.slideshare.net/DmytroPanin/get-along-with-
jhipster

Agenda
▪ Scaffolding
▪ Yeoman
▪ What is JHipster?
▪ Demo
▪ More about JHipster
▪ Q&A session

▪ Saves time
▪ Includes accepted practices
Scaffolding
▪ Design time and Runtime scaffolding

npm install -g yo
A yeoman was a member of an English social class, generally
a freeman who owned his own farm. (Wikipedia)
Yeoman – the web’s scaffolding tool for modern
webapps

JHipster is a Yeoman generator, used
to create a Spring Boot + AngularJS
project

Project status
https://www.openhub.net/p/generator-jhipster
▪ 150 developers contributed
▪ fifth most stared yeoman
generator
▪ up to 15.500 downloads in
last 30 days

yo grunt
gulp
bower
npm
(not supported in JHipster 3.0)
http://jhipster.github.io/

Server side technologies
▪ Spring Boot
▪ Spring Security
▪ Gradle or Maven
▪ Hibernate
▪ ElasticSearch
▪ Thymeleaf
▪ Gatling
▪ Cucumber

Client side technologies
▪ AngularJS
▪ HTML5 + CSS3
▪ Bootstrap
▪ jQuery
▪ Websockets
▪ Sass
▪ Browsersync
▪ Karma
▪ Protractor

Database versioning
SQL
Liquibase Mongeez CQL

Creating an entity
yo jhipster:entity entityName
▪ Yoman sub-generator
▪ JDL
▪ JHipster-UML
yo jhipster:import-jdl fileName.jh

http://jhipster.github.io/jdl-studio/https://github.com/dr-mod/jhipster-books/blob/master/entities.jh

http://jhipster.github.io/modules/marketplace/#/details/generator-jhipster-bootswatch
npm install -g generator-jhipster-bootswatch
yo jhipster-bootswatch

Modules
▪ Elasticsearch Reindexer
▪ Basic Auth
▪ Bootstrap Material
Design
▪ Bootswatch
▪ Leaflet
▪ Google Maps
▪ Google Analytics
etc..
http://jhipster.github.io/modules/marketplace/ https://github.com/jhipster/generator-jhipster-module

Sub-generators
▪ entity
▪ import-jdl
▪ service
▪ languages
▪ server
▪ client
▪ heroku
▪ aws
▪ cloudfoundry
yo jhipster:sub-generator-name
npmnode_modulesgenerator-jhipstergenerators

Testing
▪ UI - Karma
▪ AngularJS integration - Protractor
▪ Performance - Gatling
gulp protractor
gulp test
mvnw gatling:execute

Run in Docker
mvnw package -Pprod docker:build
gradlew bootRepackage -Pprod buildDocker
docker-compose -f src/main/docker/app.yml

Links to check:
▪ http://yeoman.io/
▪ http://yeoman.io/generators/
▪ http://jhipster.github.io/
▪ https://www.openhub.net/p/generator-jhipster
▪ https://github.com/dr-mod/jhipster-books

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Conference: Engage2024 in Antwerp Type: Workshop Speakers: Florian Vogler, Henning Kunz, Christoph Adler Title: Navigating the Future with The Hitchhiker's Guide to Notes and Domino 14 Abstract: Embark on an exhilarating journey with industry trailblazers Florian Vogler, Henning Kunz, and Christoph Adler in this not-to-be-missed workshop at the forefront of the tech universe. Get ready for a thrilling kick-off as we navigate the current state of the HCL universe, setting the stage for an exploration of the groundbreaking Notes and Domino 14. Discover the latest enhancements and revolutionary features that will redefine your experience. In this interactive session, unlock a treasure trove of tips and tricks to elevate your utilization of version 14, both with and without the game-changing panagenda MarvelClient. Brace yourself for also diving into Nomad, Nomad Web, and VoltMX, expanding your horizons in the expansive HCL landscape. Be a part of this exclusive opportunity to stay ahead in the ever-evolving world of HCL technologies. Your journey to mastering Notes and Domino 14 begins here. And remember, in the spirit of intergalactic exploration, don't forget to bring your towel!

W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...

panagenda

A Secure and Reliable Document Management System is Essential.docx

ComplianceQuest1

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Foundation models are machine learning models which are easily capable of performing variable tasks on large and huge datasets. FMs have managed to get a lot of attention due to this feature of handling large datasets. It can do text generation, video editing to protein folding and robotics. In case we believe that FMs can help the hospitals and patients in any way, we need to perform some important evaluations, tests to test these assumptions. In this review, we take a walk through Fms and their evaluation regimes assumed clinical value. To clarify on this topic, we reviewed no less than 80 clinical FMs built from the EMR data. We added all the models trained on structured and unstructured data. We are referring to this combination of structured and unstructured EMR data or clinical data.

Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...

harshavardhanraghave

In an era where security concerns are paramount, the integration of artificial intelligence (AI) into CCTV cameras has revolutionized surveillance capabilities. One of the most significant advancements is the ability to achieve real-time threat detection, enabling immediate responses to potential security breaches. This blog explores how AI is reshaping surveillance through real-time threat detection and the implications of this technology.

Optimizing AI for immediate response in Smart CCTV

shikhaohhpro

Investing in AI transformation today The modern business advantage: Uncovering deep insights with AI Organizations around the world have come to recognize AI as the transformative technology that enables them to gain real business advantage. AI’s ability to organize vast quantities of data allows those who implement it to uncover deep business insights, augment human expertise, drive operational efficiency, transform their products, and better serve their customers

Microsoft AI Transformation Partner Playbook.pdf

Willy Marroquin (WillyDevNET)

How To Troubleshoot Collaboration Apps for the Modern Connected Worker

ThousandEyes

In the realm of real-time applications, Large Language Models (LLMs) have long dominated language-centric tasks, while tools like OpenCV have excelled in the visual domain. However, the future (maybe) lies in the fusion of LLMs and deep learning, giving birth to the revolutionary concept of Large Action Models (LAMs). Imagine a world where AI not only comprehends language but mimics human actions on technology interfaces. For example, the Rabbit r1 device presented at CES 2024, driven by an AI operating system and LAM, brings this vision to life. It executes complex commands, leveraging GUIs with unprecedented ease. In this presentation, join me on a journey as a software engineer tinkering with WebRTC, Janus, and LLM/LAMs. Together, we’ll evaluate the current state of these AI technologies, unraveling the potential they hold for shaping the future of real-time applications.

Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications

Alberto González Trastoy

Diamond Application Development Crafting Solutions with Precision

SolGuruz

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