Optimizing DevOps for Critical Systems

This article examines the impact of DevOps practices on improving the productivity of software development teams and managing quality variability in the maintenance of critical systems. Based on an analysis of the MONTE system developed by the Mission Design and Navigation Software group at the Jet Propulsion Laboratory (JPL), a comparative assessment was conducted of key metrics, including defect density, release frequency, and incident response time, before and after the implementation of DevOps. The application of time-series analysis methods demonstrated that systematic integration of automation, continuous integration and delivery, and infrastructure as code contributes to reducing operational risks and enhancing process efficiency. DevOps cycles in mission-critical systems function as continuously iterative pipelines for deployment, testing, and delivery. They are built on principles of closed-loop feedback and adaptive change management, where each iteration includes formal static verification and automated deployment with compliance checks against regulatory standards. DevOps methodologies in such systems are grounded in Infrastructure as Code and GitOps practices, combined with advanced release strategies and blue/green deployment models. These approaches support a high level of observability, predictive monitoring based on reliability metrics, and continuous risk management through integrated security controls and configuration management components. Additionally, the article provides an overview of strategies and recommendations for the successful adoption of DevOps, considering organizational and technological prerequisites, changes in corporate culture, and the need for skill development among specialists. The study results confirm the hypothesis that DevOps approaches serve as an effective tool for enhancing stability, reliability, and team productivity in the operation of mission-critical systems. The information presented will be valuable for researchers and IT professionals, as well as for managers seeking to integrate advanced DevOps methodologies to improve team performance and optimize business processes.

Authors

Publication Details

Journal
Asian Journal of Research in Computer Science
Published
2025-05-08
DOI
https://doi.org/10.9734/ajrcos/2025/v18i5673
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
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article

Optimizing DevOps for Critical Systems

Garg Nishant
Asian Journal of Research in Computer Science
Business Process Modeling and Analysis
article

Optimizing DevOps for Critical Systems

Garg Nishant
article en

Abstract

This article examines the impact of DevOps practices on improving the productivity of software development teams and managing quality variability in the maintenance of critical systems. Based on an analysis of the MONTE system developed by the Mission Design and Navigation Software group at the Jet Propulsion Laboratory (JPL), a comparative assessment was conducted of key metrics, including defect density, release frequency, and incident response time, before and after the implementation of DevOps. The application of time-series analysis methods demonstrated that systematic integration of automation, continuous integration and delivery, and infrastructure as code contributes to reducing operational risks and enhancing process efficiency. DevOps cycles in mission-critical systems function as continuously iterative pipelines for deployment, testing, and delivery. They are built on principles of closed-loop feedback and adaptive change management, where each iteration includes formal static verification and automated deployment with compliance checks against regulatory standards. DevOps methodologies in such systems are grounded in Infrastructure as Code and GitOps practices, combined with advanced release strategies and blue/green deployment models. These approaches support a high level of observability, predictive monitoring based on reliability metrics, and continuous risk management through integrated security controls and configuration management components. Additionally, the article provides an overview of strategies and recommendations for the successful adoption of DevOps, considering organizational and technological prerequisites, changes in corporate culture, and the need for skill development among specialists. The study results confirm the hypothesis that DevOps approaches serve as an effective tool for enhancing stability, reliability, and team productivity in the operation of mission-critical systems. The information presented will be valuable for researchers and IT professionals, as well as for managers seeking to integrate advanced DevOps methodologies to improve team performance and optimize business processes.

Asian Journal of Research in Computer ScienceVol. 18(5)
Openalex Percentile: Top 84%
Business Process Modeling and Analysis
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