DevOps methodology tools in information systems based on IoT technologies

Abstract

The article provides an in-depth analysis of the primary tools within the DevOps methodology and their implementation in information systems based on Internet of Things (IoT) technologies. As IoT devices multiply at a rapid pace and continually produce large volumes of data, managing the software development, testing, and deployment processes efficiently becomes increasingly critical. DevOps methodology presents a structured approach to automation and integration, promoting collaboration across development, operations, and security teams. This integration reduces latency in system updates and increases service quality by enabling continuous iteration. Key DevOps practices, such as Continuous Integration and Continuous Delivery (CI/CD), alongside containerization, are highlighted as foundational to achieving the scalability, reliability, and adaptability required for IoT ecosystems. The article investigates various use cases of DevOps in IT infrastructures, emphasizing data processing on both edge devices and cloud platforms. Edge computing, in particular, supports real-time processing and data analysis closer to IoT endpoints, while cloud platforms offer scalable resources for extended storage, analytics, and archiving. DevOps tools facilitate seamless synchronization between these layers, allowing the IoT system to meet performance demands effectively. The study further explores the automation of infrastructure management through Infrastructure as Code (IaC) practices, which enable developers and operators to define, deploy, and monitor infrastructure in a highly consistent and repeatable way, crucial for IoT's distributed environments. Cybersecurity is another significant focus, as IoT systems are often vulnerable to network-based attacks due to their interconnected nature. By integrating DevSecOps practices—embedding security into every stage of development and deployment—IoT solutions gain automated security checks that mitigate vulnerabilities without slowing down the release process. These security practices include automated vulnerability scans, code analysis, and compliance checks that are conducted continuously to ensure robust protection. The article also emphasizes the importance of real-time monitoring and logging of IoT components, which DevOps tools support to detect and troubleshoot errors immediately. With centralized monitoring dashboards and automated alerting systems, teams can rapidly respond to incidents, maintaining stable operation across the IoT ecosystem. The recommendations outlined in the article are aimed at industry professionals seeking to leverage DevOps to enhance the efficiency and resilience of IoT infrastructures. The adoption of DevOps practices in IoT not only accelerates innovation but also supports the development of reliable, secure, and scalable IoT systems that align with modern business and cybersecurity standards. By fostering a culture of continuous improvement, DevOps enables organizations to integrate new IoT features and optimize performance without compromising stability or security, positioning it as a valuable methodology for sustainable IoT growth