Innovative Solutions for Enhancing System Performance on the .net Platform

Mykhailo Karpenko — Mon, 07 Apr 2025 00:00:00 +0000

This study examines architectural solutions and scaling approaches on the .NET platform in the development of distributed web applications. The impact of microservices and ASP.NET Core MVC on response speed, system resilience, and resource efficiency is analyzed. Methods of automation aimed at monitoring metrics and dynamically managing computing power are discussed. A review of research detailing codebase organization, testing, and cloud service deployment is presented. Special attention is given to DevOps practices that facilitate seamless functionality updates and reduce the risk of overloads during peak traffic periods. It is noted that collaboration among specialists from different fields accelerates product releases and simplifies task management of varying complexity. Additionally, conclusions are drawn on containerization strategies that streamline component integration and optimize communication in scalable projects. Approaches to service orchestration and automated quality control are also explored, extending CI/CD capabilities and increasing process transparency in software development. The systematization of collected data contributes to a deeper understanding of the principles behind building high-load solutions on the .NET platform. Future research perspectives are also considered. This study will be valuable for web development specialists, DevOps engineers, and IT team leaders.

Defensive Cybersecurity Preparedness Assessment Model for Universities

William Kipkoech Too — Mon, 07 Apr 2025 00:00:00 +0000

Broadband and internet access has become readily available to citizens across the globe as a result the recent uptake of fiber connectivity. General Cyber Security threats like malware attacks, social engineering scams and financial frauds have increased. Though numerous security models have been advanced by NIST and ISO standards, but the frightening truth is that escalating cyber-attacks are still on the rise. This is because most existing security analysis tools focus mainly on detecting attacks. Despite the steady flow of security updates and patches, this scenario has led to a continued rise of attack surface in institutions of higher learning where students and staff sensitive information and valuable assets is of high stake. Therefore, the purpose of this study is to establish the factors for effective defensive cyber security in Universities. The study utilized a survey method to collect data from cyber security experts of the sampled universities. The study targeted 27 respondents (ICT experts) from 5 universities both public and private that were purposively sampled in Kenya. 23 questionnaires were returned translating to 85% response rate. This was very sufficient for the study. Correlation analysis was carried and the findings indicated a statistically significant relationship for human factors (87.7%), technology factors (83.5%), and policy factors (83.2%) on defensive cyber security preparedness. Multiple linear regression was also done to predict the extent of the effect of each independent variable on defensive cyber security preparedness. In conclusion, the study noted that, all the three cyber security factors were significant hence there was a need to enhance them so as to improve security against the advancing threat landscape across all sectors especially institutions of higher learning like universities.

International Journal of Computer (IJC)

Innovative Solutions for Enhancing System Performance on the .net Platform

Defensive Cybersecurity Preparedness Assessment Model for Universities