Abstract:
With the advancement of information and communication technology, computer software has
been designed to make it easy for end-users to build and customize the software to suit their
needs. As a result, end-users have become software developers and have the opportunity to
contribute directly to technological development activities. The main intent of this paper is to
propose the new integrated technology stack for API based application development used for
developed, Developer Centric Framework for Enduser Involvement in Application Design. The
technology stack with CentOS 8 operating system has been applied for application
development. On top of that, Containerized environment with Docker and Portainer has been
used to manage the containers. The backend API architecture was developed using the existing
PHP Laraval 8.0 framework, and the backend was serving with Nginx as a reverse proxy with
Apache. Herein, JWT (JSON Web Token) has been used to secure communication between the
frontend and backend. The frontend has been developed with Angular 11 together with
component-based architecture. In contrast, Jenkins has been used for Continuous Integration
and Continuous Delivery (CICD). Jenkins has done the frontend app building process and
deployment to production servers. Content Delivery Network (CDN) has been used to fast
deliver the content as an intermediate service. This framework will allow institutional
information management to be effective, efficient, and used for other related purposes with
minor customization. The faculty website developed using the above framework with the
proposed technology stack is actively running with regular updates of events, news notices etc.,
by department users. The results of the activity logs generated by the framework ensure that the
staff profiles are updated with up-to-date information by themselves without facing any barriers.
The proposed technology stack will reduce the time it takes to rebuild similar systems, thus
reducing the cost and improving the quality and productivity of the software.
