K&W Software AG Technology Stack

Adobe helps organisations in creation of multimedia and creativity software products, with a more recent foray into digital marketing software.

GitHub is a place to share code with friends, co-workers, classmates, and complete strangers, helping individuals and teams to write faster, better code.

Jenkins is an open source automation server written in Java. Jenkins helps to automate the non-human part of the software development process, with continuous integration and facilitating technical aspects of continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat.

Plesk is a commercial web hosting and server data center automation software with a control panel developed for Linux and Windows-based retail hosting service providers.

Adobe Marketing Cloud provides comprehensive set of digital marketing solutions for all of your marketing needs.

AngularJS is a JavaScript-based open-source front-end web application framework mainly maintained by Google and by a community of individuals and corporations to address many of the challenges encountered in developing single-page applications.

Hypertext Markup Language (HTML) is the standard markup language for documents designed to be displayed in a web browser. It can be assisted by technologies such as Cascading Style Sheets (CSS) and scripting languages such as JavaScript.

JavaScript is the programming language of HTML and the Web.

Camunda Platform is an open-source workflow and decision automation platform.

Docker is an open platform that enables developers and system administrators to create distributed applications.

Google Analytics allows users to measure sales & conversions, plus gain fresh insights into how visitors use sites, & how they arrived on site.

Software AG is a suite of enterprise integration and IoT solutions designed for application developers and data analysts. These products enable users to design, analyze and share collaborative processes, identify the pattern, filter and aggregate data, discover requirements by consolidating historical analytics, accomplish anomalies by streaming analytics engine, as well as schedule offloads of operational data to local stores.