Strategies for implementing or strengthening the DevOps approach in organizations: Analysis and examples
Abstract
The aim of the study was to analyse the implementation of DevOps in organizations, in particular, to assess the impact of process automation, CI/CD, monitoring and orchestration of microservices on the efficiency of development and management. A methodology was created that allows organizations to effectively implement and enhance the DevOps approach, achieving high results in software development and management. The study looked at cultural change and training strategies, including building a culture of collaboration between teams and developing skills in modern DevOps tools. Process automation, including test automation and integration and deployment, plays an important role in improving code quality and reducing development time. Infrastructure as code allows managing and automating infrastructure configuration, enabling rapid scaling of environments. The work has shown that performance monitoring and feedback are critical to detecting problems early and continuously improving the product. Microservices orchestration, in particular, with Kubernetes, automates the deployment and scaling of containerized applications, which is critical for modern architectures with high performance and availability requirements. Case studies of companies such as Netflix, Spotify, and Airbnb demonstrate the successful application of DevOps practices and technologies to achieve high availability, scalability, and reliability of infrastructures. The study results confirm that the implementation of DevOps leads to a significant increase in development efficiency, software quality, and optimization of infrastructure management costs. In addition, the introduction of cultural changes and increased collaboration between development and operations teams contributes to greater flexibility and speed of response to changing market conditions
Keywords
microservices orchestration; tools; test automation; CI/CD processes; development efficiency
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