An Insight into DevOps: Techniques and Optimal Practices
Abstract
In today's competitive and fast-paced software development landscape, organizations across various industries are increasingly adopting DevOps practices to accelerate their software delivery processes, enhance collaboration, and improve overall application quality. This paper presents an in-depth analysis of techniques and best practices in DevOps, substantiated by case studies from industries such as banking and healthcare. DevOps, a portmanteau of Development and Operations, is an organizational practice that aims to bridge the gap between software development and IT operations, enabling faster and more reliable software delivery. The paper discusses the core principles of DevOps, its key techniques, and best practices. By presenting a comprehensive analysis of techniques and best practices in DevOps, along with case studies, this paper offers valuable insights for organizations seeking to implement or improve their DevOps practices. The findings highlight the importance of adopting a holistic approach to DevOps, encompassing both technical and cultural aspects, in order to maximize the benefits and achieve success in today's dynamic software development landscape.
Keywords:
DevOps, techniques, best practicesPublished
Issue
Section
License
Copyright (c) 2023 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Lida K Kuriakose, Overview of Lip Reading Methods: Issues, Current Developments, and Future Prospects , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Richa Maria Biju, Merwin Maria Antony, Mishal Rose Thankachan, Joshua John Sajit, Bini M Issac, Enhancing Image Forgery Detection with Multi-Modal Deep Learning and Statistical Methods , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- George P Kurias, Gokul Krishna AU, Jifith Joseph, Sharunmon R, Linsa Mathew, A Review of Methodologies for Detecting Missing and Wanted People Using Machine Learning and Video Surveillance , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Mekha Jose, Avin Joshy, Abishek R Paleri, Athul Mohan, Ali Jasim R M, A Review on Contribution and Influence of Artificial Intelligence in Road Safety and Optimal Routing , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Kaveri S, Pooja Satheesh, Kesiya Susan John, Reubel K Wilson, Dr. Jacob John, Predictive Maintenance of Machines Using IoT and Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Fabeela Ali Rawther, Raihana Rasaldeen, Stefi Marshal Fernandez, Irin Rose Jaison, Ria Mariam Mathews, A Survey on Automating Answer-Sheet Evaluation Using AI Techniques , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Shiney Thomas, Elsa George, Alphonsa Francis, Anna Job, Ann Maria James, Wildlife Detection And Recognition Using YOLO V8 , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Betzy Babu Thoppil, Anugrah Premachandran, Annapoorna M, Ashwin Mathew Zachariah, Bala Susan Jacob, Advanced Sensor-Based Landslide and Earthquake Detection and Alert System Utilizing Machine Learning and Computer Vision Technologies , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- An Mariya Deve M D, Aswani Unni, Bhagya S, Abin Joseph, Dr. Aju Mathew George, Innovative Biochar Applications for Sustainable Water Purification , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Linsa Mathew, Brain Tumor Detection , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.