Product Lifecycle Governance in DevOps: A PMP-Certified Approach with GitOps
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V6I1P115Keywords:
DevOps, Product Lifecycle Governance, GitOps, Project Management, PMP, Agile Governance, CI/CD, Compliance Automation, Version Control, Infrastructure as Code, Pipeline SecurityAbstract
Using both traditional project management and the freedom of DevOps can help you make software faster these days. This article shows you how to use GitOps to link your existing DevOps pipelines to the lifecycle governance that the Project Management Professional (PMP) group has approved. If teams see the product lifecycle as a tightly controlled but flexible process, they may apply PMP-aligned strategies like setting stage gates, managing risks, talking to stakeholders, and ensuring quality without slowing down the speed of DevOps iterations. GitOps exclusively uses Git to keep track of the setup of applications and infrastructure. This integration is really essential because it gives you governance artifacts that you can look at and alter, and it leverages code to make sure that rules are followed. You get a governance model that is straightforward to understand and is a key part of the CI/CD process. This combination of cautious thought and swift action solves the age-old problem of how to strike the correct balance between speed and control. This article is about a medium-sized SaaS company that used GitOps to make sure that its DevOps procedures were up to the PMI's PMBOK standard. The adjustment made it easier to trust releases, undertake fewer audits, and observe that stakeholders were happier. It's a great idea to use GitOps to make sure everyone is following the rules, make governance checkpoints official in Git, and change the project's phases to match agile increments. This post gives you a helpful, people-centered way to think about how governance and DevOps might work together to get things done. This post is for folks who work in governance and don't think that DevOps is to blame for the lack of new ideas. A PMP-certified solution that is easy to add to their current GitOps rules can help firms find a balance between being in charge and being flexible
Downloads
References
[1] Aiello, Bob, and Leslie Sachs. Agile application lifecycle management: Using DevOps to drive process improvement. Addison-Wesley Professional, 2016.
[2] Fox, Michael R. "IT governance in a DevOps World." IT Professional 22.5 (2020): 54-61.
[3] Manda, J. K. "Data privacy and GDPR compliance in telecom: ensuring compliance with data privacy regulations like GDPR in telecom data handling and customer information management." MZ Comput J 3.1 (2022).
[4] Patel, Piyushkumar. "AI and Machine Learning in Tax Strategy: Predictive Analytics for Corporate Tax Optimization." African Journal of Artificial Intelligence and Sustainable Development 4.1 (2024): 439-57.
[5] Wiedemann, Anna. "IT governance mechanisms for DevOps Teams-How incumbent companies achieve competitive advantages." (2018).
[6] Nookala, G. (2023). Microservices and Data Architecture: Aligning Scalability with Data Flow. International Journal of Digital Innovation, 4(1).
[7] Balkishan Arugula. “Knowledge Graphs in Banking: Enhancing Compliance, Risk Management, and Customer Insights”. European Journal of Quantum Computing and Intelligent Agents, vol. 6, Apr. 2022, pp. 28-55
[8] Shaik, Babulal, Jayaram Immaneni, and K. Allam. "Unified Monitoring for Hybrid EKS and On-Premises Kubernetes Clusters." Journal of Artificial Intelligence Research and Applications 4.1 (2024): 649-669.
[9] Datla, Lalith Sriram. “Proactive Application Monitoring for Insurance Platforms: How AppDynamics Improved Our Response Times”. International Journal of Emerging Research in Engineering and Technology, vol. 4, no. 1, Mar. 2023, pp. 54-65
[10] Camilleri, Russell. Adoption of IT Governance Strategies for Multiproduct DevOps Teams: A Correlational Quantitative Study. Diss. Walden University, 2022.
[11] Chaganti, Krishna Chaitanya. "Threat Modeling and Vulnerability Management for Securing IoT Ecosystems." International Journal of Emerging Trends in Computer Science and Information Technology (2025): 28-35.
[12] Guntupalli, Bhavitha. “Exception Handling in Large-Scale ETL Systems: Best Practices”. International Journal of AI, BigData, Computational and Management Studies, vol. 3, no. 4, Dec. 2022, pp. 28-36
[13] Msitshana, Thozamile. Embedding project management into DevOps as a governance tool. University of Johannesburg (South Africa), 2023.
[14] Allam, Hitesh. "Declarative Operations: GitOps in Large-Scale Production Systems." International Journal of Emerging Trends in Computer Science and Information Technology 4.2 (2023): 68-77.
Shaik, Babulal. "Developing Predictive Autoscaling Algorithms for Variable Traffic Patterns." Journal of Bioinformatics and Artificial Intelligence 1.2 (2021): 71-90.
[15] Plant, Olivia H., Jos van Hillegersberg, and Adina Aldea. "Rethinking IT governance: Designing a framework for mitigating risk and fostering internal control in a DevOps environment." International journal of accounting information systems 45 (2022): 100560.
[16] Manda, Jeevan Kumar. "Securing Remote Work Environments in Telecom: Implementing Robust Cybersecurity Strategies to Secure Remote Workforce Environments in Telecom, Focusing on Data Protection and Secure Access Mechanisms." Focusing on Data Protection and Secure Access Mechanisms (April 04, 2020) (2020).
[17] Wiedemann, Anna, et al. "A control-alignment model for product orientation in DevOps teams–A multinational case study." (2019).
[18] Balkishan Arugula. “Cloud Migration Strategies for Financial Institutions: Lessons from Africa, Asia, and North America”. Los Angeles Journal of Intelligent Systems and Pattern Recognition, vol. 4, Mar. 2024, pp. 277-01
[19] Immaneni, J., & Salamkar, M. (2020). Cloud migration for fintech: how kubernetes enables multi-cloud success. International Journal of Emerging Trends in Computer Science and Information Technology, 1(3), 17-28.
[20] Jani, Parth. "Modernizing Claims Adjudication Systems with NoSQL and Apache Hive in Medicaid Expansion Programs." JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING (JRTCSE) 7.1 (2019): 105-121.
[21] Lie, Martin Forsberg, Mary Sánchez-Gordón, and Ricardo Colomo-Palacios. "Devops in an iso 13485 regulated environment: a multivocal literature review." Proceedings of the 14th ACM/IEEE International Symposium on empirical software engineering and measurement (ESEM). 2020.
[22] Patel, Piyushkumar, and Deepu Jose. "Green Tax Incentives and Their Accounting Implications: The Rise of Sustainable Finance." Journal of Artificial Intelligence Research and Applications 4.1 (2024): 627-48.
[23] Mishra, Sarbaree, et al. “A New Pattern for Managing Massive Datasets in the Enterprise through Data Fabric and Data Mesh”. International Journal of Emerging Trends in Computer Science and Information Technology, vol. 1, no. 4, Dec. 2020, pp. 47-57
[24] Abdul Jabbar Mohammad. “Timekeeping Accuracy in Remote and Hybrid Work Environments”. American Journal of Cognitive Computing and AI Systems, vol. 6, July 2022, pp. 1-25
[25] Allam, Hitesh. “Cloud-Native Reliability: Applying SRE to Serverless and Event-Driven Architectures”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 5, no. 3, Oct. 2024, pp. 68-79
[26] Guntupalli, Bhavitha, and Venkata ch. “How I Optimized a Legacy Codebase With Refactoring Techniques”. International Journal of Emerging Trends in Computer Science and Information Technology, vol. 3, no. 1, Mar. 2022, pp. 98-106
[27] Greene, Brittany. Developing Effective It Governance for Devops Teams: A Qualitative Delphi Study. Diss. Capella University, 2020.
[28] Mohammad, Abdul Jabbar. “Chrono-Behavioral Fingerprinting for Workforce Optimization”. International Journal of AI, BigData, Computational and Management Studies, vol. 5, no. 3, Oct. 2024, pp. 91-101.
[29] Chaganti, Krishna Chaitanya. "Ethical AI for Cybersecurity: A Framework for Balancing Innovation and Regulation." Authorea Preprints (2025).
[30] Mohammad, Abdul Jabbar. “AI-Augmented Time Theft Detection System”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 2, no. 3, Oct. 2021, pp. 30-38
[31] Altunel, Haluk, and Bilge Say. "Software product system model: a customer-value oriented, adaptable, devops-based product model." SN computer science 3.1 (2022): 38.
[32] Datla, Lalith Sriram. “Optimizing REST API Reliability in Cloud-Based Insurance Platforms for Education and Healthcare Clients”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 4, no. 3, Oct. 2023, pp. 50-59.
[33] Mishra, Sarbaree. “Improving the Data Warehousing Toolkit through Low-Code No-Code”. International Journal of Emerging Trends in Computer Science and Information Technology, vol. 2, no. 4, Dec. 2021, pp. 62-72.
[34] Nookala, G., Gade, K. R., Dulam, N., & Thumburu, S. K. R. (2023). Integrating Data Warehouses with Data Lakes: A Unified Analytics Solution. Innovative Computer Sciences Journal, 9(1).
[35] Balkishan Arugula. “Order Management Optimization in B2B and B2C Ecommerce: Best Practices and Case Studies”. Artificial Intelligence, Machine Learning, and Autonomous Systems, vol. 8, June 2024, pp. 43-71
[36] Jani, Parth. "Generative AI in Member Portals for Benefits Explanation and Claims Walkthroughs." International Journal of Emerging Trends in Computer Science and Information Technology 5.1 (2024): 52-60.
[37] Vasanta Kumar Tarra. “Ethical Considerations of AI in Salesforce CRM: Addressing Bias, Privacy Concerns, and Transparency in AI-Driven CRM Tools”. American Journal of Autonomous Systems and Robotics Engineering, vol. 4, Nov. 2024, pp. 120-44.
[38] Mishra, Sarbaree, et al. “Building More Efficient AI Models through Unsupervised Representation Learning”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 5, no. 3, Oct. 2024, pp. 109-20
[39] Plant, O. H. DevOps under control: development of a framework for achieving internal control and effectively managing risks in a DevOps environment. MS thesis. University of Twente, 2019.
[40] Chaganti, Krishna Chaitanya. "A Scalable, Lightweight AI-Driven Security Framework for IoT Ecosystems: Optimization and Game Theory Approaches." Authorea Preprints (2025).
[41] Talakola, Swetha. “The Optimization of Software Testing Efficiency and Effectiveness Using AI Techniques”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 5, no. 3, Oct. 2024, pp. 23-34.
[42] Allam, Hitesh. “Shift-Left Observability: Embedding Insights from Code to Production”. International Journal of AI, BigData, Computational and Management Studies, vol. 5, no. 2, June 2024, pp. 58-69.
[43] Hamid, Umar Zakir Abdul. Product Governance and Management for Software-defined Battery Electric Vehicles. SAE International, 2024.
[44] Veluru, Sai Prasad. "Self-Penalizing Neural Networks: Built-in Regularization Through Internal Confidence Feedback." International Journal of Emerging Trends in Computer Science and Information Technology 4.3 (2023): 41-49.
[45] Mohammad, Abdul Jabbar, and Waheed Mohammad A. Hadi. “Time-Bounded Knowledge Drift Tracker”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 2, no. 2, June 2021, pp. 62-71.
[46] Guntupalli, Bhavitha. “Asynchronous Programming in Java Python: A Developer’s Guide”. International Journal of Emerging Research in Engineering and Technology, vol. 3, no. 2, June 2022, pp. 70-78
[47] Mishra, Sarbaree, and Sairamesh Konidala. “A Polyglot Data Integration Framework for Seamless Integration of Heterogeneous Data Sources and Formats”. International Journal of Emerging Trends in Computer Science and Information Technology, vol. 5, no. 4, Dec. 2024, pp. 70-81.
[48] Nookala, G. (2023). Secure multiparty computation (SMC) for privacy-preserving data analysis. Journal of Big Data and Smart Systems, 4(1).
[49] Shaik, Babulal. "Automating Compliance in Amazon EKS Clusters With Custom Policies." Journal of Artificial Intelligence Research and Applications 1.1 (2021): 587-10.
[50] Pileggi, Paolo, et al. "Lifecycle governance for effective digital twins: a joint systems engineering and IT perspective." 2020 IEEE International Systems Conference (SysCon). IEEE, 2020.
[51] Lalith Sriram Datla, and Samardh Sai Malay. “Patient-Centric Data Protection in the Cloud: Real-World Strategies for Privacy Enforcement and Secure Access”. European Journal of Quantum Computing and Intelligent Agents, vol. 8, Aug. 2024, pp. 19-43
[52] Abdul Jabbar Mohammad. “Biometric Timekeeping Systems and Their Impact on Workforce Trust and Privacy”. Journal of Artificial Intelligence & Machine Learning Studies, vol. 8, Oct. 2024, pp. 97-123
[53] Mishra, Sarbaree. “Cross Modal AI Model Training to Increase Scope and Build More Comprehensive and Robust Models”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 5, no. 3, Oct. 2024, pp. 98-108
[54] Manda, Jeevan Kumar. "Zero Trust Architecture in Telecom: Implementing Zero Trust Architecture Principles to Enhance Network Security and Mitigate Insider Threats in Telecom Operations." Journal of Innovative Technologies 5.1 (2022).
[55] Jani, Parth. "AI and Data Analytics for Proactive Healthcare Risk Management." INTERNATIONAL JOURNAL 8.10 (2024).
[56] Qumer Gill, Asif, et al. "DevOps for information management systems." VINE Journal of Information and Knowledge Management Systems 48.1 (2018): 122-139.
[57] Feijter, Rico, et al. "Towards the adoption of DevOps in software product organizations: A Maturity Model Approach." Technical Report Series UU-CS-2017-009 (2017).
[58] G. Lakshmikanthan, S. S. Nair, J. Partha Sarathy, S. Singh, S. Santiago and B. Jegajothi, "Mitigating IoT Botnet Attacks: Machine Learning Techniques for Securing Connected Devices," 2024 International Conference on Emerging Research in Computational Science (ICERCS), Coimbatore, India, 2024, pp. 1-6, doi: 10.1109/ICERCS63125.2024.10895253
