Loading Now

Unlocking the Potential of Chef: Configuration Management for Scalable DevOps

Alt Text: Unlocking the Potential of Chef
Title: Unlocking the Potential of Chef: Configuration Management for Scalable DevOps
Caption: Chef for Configuration Management in DevOps
Description: Explores Chef’s role in automating processes and enhancing DevOps scalability.

Unlocking the Potential of Chef: Configuration Management for Scalable DevOps

International Journal of Computer Techniques – Volume 10 Issue 2, August 2023

ISSN: 2394-2231

http://www.ijctjournal.org

Nagaraju Islavath
Independent Researcher
Email: islavath.nagaraju@gmail.com

Abstract

Organizations increasingly rely on DevOps practices to streamline software development and operations in today’s rapidly evolving technological landscape. Effective configuration management is critical to achieving this scalability, and Chef has emerged as one of the most powerful tools in this domain. This research explores the potential of Chef as a configuration management solution for scalable DevOps practices. We delve into its problem-solving capabilities, application in various environments, and impact on business operations. By analyzing Chef’s ability to automate processes and ensure consistency across platforms, this study highlights Chef’s scope in enhancing operational efficiency and reducing downtime.

Keywords

Chef, Configuration Management, DevOps, Automation, Scalability, Infrastructure as Code (IaC), Continuous Integration/Continuous Deployment (CI/CD), Cloud Environments, Operational Efficiency

References

  1. Avritzer, A. (2020, March). Challenges and approaches for the assessment of micro-service architecture deployment alternatives in DevOps: A tutorial presented at ICSA 2020. In 2020 IEEE International Conference on Software Architecture Companion (ICSA-C) (pp. 1-2). IEEE.
  2. Border, C. (2020). Development of a configuration management course for computing operations students. Journal of Computing Sciences in Colleges, 36(3), 89-101.
  3. Buttar, A. M., Khalid, A., Alenezi, M., Akbar, M. A., Rafi, S., Gumaei, A. H., & Riaz, M. T. (2023). Optimization of DevOps transformation for cloud-based applications. Electronics, 12(2), 357.
  4. Hill, D. (2021). A Comparison of Configuration Management Tools in Respect of Performance and Complexity. Independent thesis (Dissertation), Technological University Dublin, Dublin, Ireland, [Online].
  5. Kostromin, R. (2020). Survey of software configuration management tools of nodes in heterogeneous distributed computing environment. In ICCS-DE (pp. 156-165).
  6. Macarthy, R. W., & Bass, J. M. (2020, August). An empirical taxonomy of DevOps in practice. In 2020 46th euromicro conference on software engineering and advanced applications (seaa) (pp. 221-228). IEEE.
  7. Perumal, A. P. (2020). Optimizing Linux Infrastructure Operations through DevOps Practices for Improved System Efficiency and Reliability. European Journal of Advances in Engineering and Technology, 7(9), 45-50.
  8. Shahin, M., Rezaei Nasab, A., & Ali Babar, M. (2023). A qualitative study of architectural design issues in DevOps. Journal of Software: Evolution and Process, 35(5), e2379.
  9. Simpson, C., & Simske, S. (2023). Scalable, Flexible Implementation of MBSE and DevOps in VSEs: Design Considerations and a Case Study. In INCOSE International Symposium (Vol. 33, No. 1, pp. 1044-1056).
  10. Throner, S., Hütter, H., Sänger, N., Schneider, M., Hanselmann, S., Petrovic, P., & Abeck, S. (2021, August). An advanced DevOps environment for microservice-based applications. In 2021 IEEE International Conference on Service-Oriented System Engineering (SOSE) (pp. 134-143). IEEE.

How to Cite

Nagaraju Islavath, “Unlocking the Potential of Chef: Configuration Management for Scalable DevOps,” International Journal of Computer Techniques, Volume 10, Issue 2, August 2023.