Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Optimizing DevOps for Critical Systems

View through CrossRef
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.
Title: Optimizing DevOps for Critical Systems
Description:
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.

Related Results

The Role of Leadership in Transforming Retail Technology Infrastructure with DevOps
The Role of Leadership in Transforming Retail Technology Infrastructure with DevOps
In the fast changing retail technology market, DevOps principles are transforming how firms manage and improve their technological infrastructure. This study examines how leadershi...
Mobilizing DevOps: exploration of DevOps adoption in mobile software development
Mobilizing DevOps: exploration of DevOps adoption in mobile software development
Purpose The purpose of this study is to investigate the factors facilitating and influencing the adoption of DevOps practices specifically tailored to mobile so...
Research on the necessity of implementing devops technologies in the Training of Future Computer Science Teachers
Research on the necessity of implementing devops technologies in the Training of Future Computer Science Teachers
The article examines the problem of implementing DevOps technologies in the training of future Computer Science teachers. This problem has arisen due to the development and expansi...
DevOps for information management systems
DevOps for information management systems
Purpose Development and operations (DevOps) is complex in nature. Organizations are unsure how to effectively establish a DevOps capability for the continuous delivery of informati...
A qualitative study of architectural design issues in DevOps
A qualitative study of architectural design issues in DevOps
AbstractSoftware architecture is critical in succeeding with Development and Operations (DevOps). However, designing software architectures that enable and support DevOps (DevOps‐d...
AI-driven devops: Leveraging machine learning for automated software deployment and maintenance
AI-driven devops: Leveraging machine learning for automated software deployment and maintenance
The integration of artificial intelligence (AI) and machine learning (ML) into DevOps practices is revolutionizing software deployment and maintenance, paving the way for more effi...
The Role of Leadership in Transforming Retail Technology Infrastructure with DevOps
The Role of Leadership in Transforming Retail Technology Infrastructure with DevOps
In the fast changing retail technology market, DevOps principles are transforming how firms manage and improve their technological infrastructure. This study examines how leadershi...
Automated Continuous Deployment of Software Projects with Jenkins through DevOps-based Hybrid Model
Automated Continuous Deployment of Software Projects with Jenkins through DevOps-based Hybrid Model
Abstract Software development and delivery have changed from conventional deployment and agile methods to the continuous culture of DevOps. DevOps, the current craze in the...

Back to Top