CI/CD model for optimizing software deployment in SMEs

Zein Samira 1, *, Yodit Wondaferew Weldegeorgise 2, Olajide Soji Osundare 3, Harrison Oke Ekpobimi 4 and Regina Coelis Kandekere 5

1 Cisco Systems, Richardson, Texas, USA.
2 Deloitte Consulting LLP, Dallas, TX, USA.
3 Nigeria Inter-bank Settlement System Plc (NIBSS), Nigeria.
4 Shoprite, Cape Town, South Africa.
5 Independent Researcher, Dallas Texas, Nigeria.
 
Review Article
Magna Scientia Advanced Research and Reviews, 2024, 12(01), 056–077
Article DOI: 10.30574/msarr.2024.12.1.0147
Publication history: 
Received on 16 August 2024; revised on 24 September 2024; accepted on 27 September 2024
 
Abstract: 
Small and Medium-sized Enterprises (SMEs) face unique challenges in software deployment, often dealing with limited resources, budget constraints, and the need for fast, reliable updates. This review outlines a Continuous Integration and Continuous Deployment (CI/CD) model specifically tailored to optimize software deployment in SME environments. The proposed CI/CD framework enhances operational efficiency by automating the integration, testing, and deployment processes, significantly reducing the risk of human error and deployment failures. The model leverages key CI/CD practices, including automated testing, version control, and continuous monitoring, to ensure seamless updates and minimal downtime. By integrating tools like Jenkins, GitLab, and Docker, SMEs can streamline code integration, enhance collaboration between development and operations teams, and enable faster, more frequent releases. Automated testing ensures that code changes are validated before deployment, identifying and addressing potential issues early in the development cycle. The framework also emphasizes rollback capabilities and monitoring systems to further reduce deployment risks. Rollbacks allow for quick recovery in case of failure, while continuous monitoring enables real-time detection of performance issues, helping SMEs maintain operational uptime and minimize service disruptions. Moreover, the model supports a microservices architecture, allowing SMEs to scale their applications efficiently without compromising stability. Incorporating CI/CD practices fosters agility, enabling SMEs to respond rapidly to market demands and customer feedback. This model not only improves software quality and deployment speed but also aligns with the budgetary and operational limitations of SMEs. It provides a cost-effective solution that enhances overall system reliability and reduces the frequency of software-related incidents. This CI/CD model serves as a practical approach to software deployment, empowering SMEs to optimize their software development lifecycle while ensuring continuous improvement and operational stability.
 
Keywords: 
CI/CD; Continuous Integration; Continuous Deployment; Software deployment; SMEs; Automation; Jenkins; GitLab; Docker; Microservices; Automated testing; Rollback; Operational uptime; Real-time monitoring; Scalability
 
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