Unifying Operations: SRE and DevOps Collaboration for Global Cloud Deployments
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V4I1P110Keywords:
Site Reliability Engineering (SRE), DevOps, Cloud Deployments, Global Operations, Reliability Engineering, Automation, Observability, Infrastructure as Code (IaC), Continuous Integration and Delivery (CI/CD), Incident ManagementAbstract
Particularly within geographically scattered environments, the fast spread of cloud computing has transformed the way modern companies provide & monitor digital services. Conventional IT approaches are strained as businesses grow in need for consistent, uniform, and these flexible operations simultaneously. The growing requirement of combining two fundamental but typically separated many approaches Site Reliability Engineering (SRE) and DevOps to maximize their cloud operations at scale is investigated in this article. While both approaches aim to increase service reliability & the speed of development, their different approaches may lead to unequal workflows, tool fragmentation & these cultural problems. The shortcomings especially show themselves in worldwide cloud deployments, where resilience, observability, and coordination are very vital. This article offers a coherent operational strategy combining SRE's focus on their reliability and automation with DevOps' agility and continuous delivery method. The article offers a pragmatic framework that balances technical and the procedural differences, therefore encouraging collaborative ownership, transparency, and a culture motivated by feedback. Through a single paradigm, the cloud migration of a worldwide company improved system reliability, deployment speed & cross-functional collaboration, as this case study shows. The case study highlights observable changes like lower incident response times, improved change success rates, and a more solid culture of accountability and learning. By using the combined capabilities of SRE and DevOps, this article aims to provide businesses wanting to coordinate their operations with useful insights and help to create durable, scalable cloud systems
References
[1] Madamanchi, Sandeep. Google Cloud for DevOps Engineers: A practical guide to SRE and achieving Google's Professional Cloud DevOps Engineer certification. Packt Publishing, 2021.
[2] Limoncelli, Thomas A., Strata R. Chalup, and Christina J. Hogan. The Practice of Cloud System Administration: DevOps and SRE Practices for Web Services, Volume 2. Vol. 2. Addison-Wesley Professional, 2014.
[3] Atluri, Anusha, and Teja Puttamsetti. “Engineering Oracle HCM: Building Scalable Integrations for Global HR Systems”. American Journal of Data Science and Artificial Intelligence Innovations, vol. 1, Mar. 2021, pp. 422-4
[4] Endure, That, and Unai Huete Beloki. "The Art of Site Reliability Engineering (SRE) with Azure."
[5] Talakola, Swetha. “Leverage Microsoft Power BI Reports to Generate Insights and Integrate With the Application”. International Journal of AI, BigData, Computational and Management Studies, vol. 3, no. 2, June 2022, pp. 31-40
[6] Datla, Lalith Sriram. “Infrastructure That Scales Itself: How We Used DevOps to Support Rapid Growth in Insurance Products for Schools and Hospitals”. International Journal of AI, BigData, Computational and Management Studies, vol. 3, no. 1, Mar. 2022, pp. 56-65
[7] Mulder, Jeroen. Enterprise DevOps for Architects: Leverage AIOps and DevSecOps for secure digital transformation. Packt Publishing Ltd, 2021.
[8] Veluru, Sai Prasad. “AI-Driven Data Pipelines: Automating ETL Workflows With Kubernetes”. American Journal of Autonomous Systems and Robotics Engineering, vol. 1, Jan. 2021, pp. 449-73
[9] Kupunarapu, Sujith Kumar. "AI-Driven Crew Scheduling and Workforce Management for Improved Railroad Efficiency." International Journal of Science And Engineering 8.3 (2022): 30-37.
[10] Gonzalez, David. Implementing Modern DevOps: Enabling IT organizations to deliver faster and smarter. Packt Publishing Ltd, 2017.
[11] Drake, Sheryl I. An Exploratory Study: Chaos Engineering Integration Within a Devops Environment. Diss. Marymount University, 2022.
[12] 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.
[13] Arugula, Balkishan, and Pavan Perala. “Building High-Performance Teams in Cross-Cultural Environments”. International Journal of Emerging Research in Engineering and Technology, vol. 3, no. 4, Dec. 2022, pp. 23-31
[14] Vasanta Kumar Tarra, and Arun Kumar Mittapelly. “Predictive Analytics for Risk Assessment & Underwriting”. JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING ( JRTCSE), vol. 10, no. 2, Oct. 2022, pp. 51-70
[15] Ali Asghar Mehdi Syed. “Cost Optimization in AWS Infrastructure: Analyzing Best Practices for Enterprise Cost Reduction”. JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING ( JRTCSE), vol. 9, no. 2, July 2021, pp. 31-46
[16] Paidy, Pavan. “ASPM in Action: Managing Application Risk in DevSecOps”. American Journal of Autonomous Systems and Robotics Engineering, vol. 2, Sept. 2022, pp. 394-16
[17] Abdul Jabbar Mohammad, and Seshagiri Nageneini. “Blockchain-Based Timekeeping for Transparent, Tamper-Proof Labor Records”. European Journal of Quantum Computing and Intelligent Agents, vol. 6, Dec. 2022, pp. 1-27
[18] Anand, Sangeeta. “Automating Prior Authorization Decisions Using Machine Learning and Health Claim Data”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 3, no. 3, Oct. 2022, pp. 35-44
[19] Leite, Leonardo, et al. "A survey of DevOps concepts and challenges." ACM computing surveys (CSUR) 52.6 (2019): 1-35.
[20] Jani, Parth, and Sarbaree Mishra. "Governing Data Mesh in HIPAA-Compliant Multi-Tenant Architectures." International Journal of Emerging Research in Engineering and Technology 3.1 (2022): 42-50.
[21] Balkishan Arugula, and Pavan Perala. “Multi-Technology Integration: Challenges and Solutions in Heterogeneous IT Environments”. American Journal of Cognitive Computing and AI Systems, vol. 6, Feb. 2022, pp. 26-52
[22] Sangaraju, Varun Varma. "AI-Augmented Test Automation: Leveraging Selenium, Cucumber, and Cypress for Scalable Testing." International Journal of Science And Engineering 7.2 (2021): 59-68.
[23] Atluri, Anusha. “Data Security and Compliance in Oracle HCM: Best Practices for Safeguarding HR Information”. Newark Journal of Human-Centric AI and Robotics Interaction, vol. 1, Oct. 2021, pp. 108-31
[24] Lamponen, Niclas. "Implementation of secure workflow for DevOps from best practices viewpoint." (2021).
[25] Talakola, Swetha, and Abdul Jabbar Mohammad. “Leverage Power BI Rest API for Real Time Data Synchronization”. International Journal of AI, BigData, Computational and Management Studies, vol. 3, no. 3, Oct. 2022, pp. 28-35
[26] Vasanta Kumar Tarra, and Arun Kumar Mittapelly. “AI-Driven Fraud Detection in Salesforce CRM: How ML Algorithms Can Detect Fraudulent Activities in Customer Transactions and Interactions”. American Journal of Data Science and Artificial Intelligence Innovations, vol. 2, Oct. 2022, pp. 264-85
[27] Cernat, Radu. "Secure DevOps Practices and Compliance Requirements in Cloud E-Retail Ecosystems." Nuvern Applied Science Reviews 5.3 (2021): 1-12.
[28] Abdul Jabbar Mohammad. “Dynamic Timekeeping Systems for Multi-Role and Cross-Function Employees”. Journal of Artificial Intelligence & Machine Learning Studies, vol. 6, Oct. 2022, pp. 1-27
[29] Veluru, Sai Prasad. "Streaming Data Pipelines for AI at the Edge: Architecting for Real-Time Intelligence." International Journal of Artificial Intelligence, Data Science, and Machine Learning 3.2 (2022): 60-68.
[30] Kupunarapu, Sujith Kumar. "AI-Enhanced Rail Network Optimization: Dynamic Route Planning and Traffic Flow Management." International Journal of Science And Engineering 7.3 (2021): 87-95.
[31] Enemosah, Aliyu. "Implementing DevOps Pipelines to Accelerate Software Deployment in Oil and Gas Operational Technology Environments." International Journal of Computer Applications Technology and Research 8.12 (2019): 501-515.
[32] Jani, Parth. "Predicting Eligibility Gaps in CHIP Using BigQuery ML and Snowflake External Functions." International Journal of Emerging Trends in Computer Science and Information Technology 3.2 (2022): 42-52.
[33] Datla, Lalith Sriram. “Postmortem Culture in Practice: What Production Incidents Taught Us about Reliability in Insurance Tech”. International Journal of Emerging Research in Engineering and Technology, vol. 3, no. 3, Oct. 2022, pp. 40-49
[34] Davis, Andrew. Mastering Salesforce DevOps: A Practical Guide to Building Trust While Delivering Innovation. Apress, 2019.
[35] Yasodhara Varma. “Graph-Based Machine Learning for Credit Card Fraud Detection: A Real-World Implementation”. American Journal of Data Science and Artificial Intelligence Innovations, vol. 2, June 2022, pp. 239-63
[36] Goniwada, Shivakumar R. "Enterprise cloud native automation." Cloud Native Architecture and Design: A Handbook for Modern Day Architecture and Design with Enterprise-Grade Examples. Berkeley, CA: Apress, 2021. 523-553.
[37] Paidy, Pavan. “Post-SolarWinds Breach: Securing the Software Supply Chain”. Newark Journal of Human-Centric AI and Robotics Interaction, vol. 1, June 2021, pp. 153-74
[38] Sangaraju, Varun Varma. "Optimizing Enterprise Growth with Salesforce: A Scalable Approach to Cloud-Based Project Management." International Journal of Science And Engineering 8.2 (2022): 40-48.
[39] Riti, Pierluigi. "Pro DevOps with Google Cloud Platform." With Docker, Jenkins, and Kubernetes (2018).
[40] Mohammad, Abdul Jabbar. “Sentiment-Driven Scheduling Optimizer”. International Journal of Emerging Research in Engineering and Technology, vol. 1, no. 2, June 2020, pp. 50-59
[41] Talakola, Swetha. “Exploring the Effectiveness of End-to-End Testing Frameworks in Modern Web Development”. International Journal of Emerging Research in Engineering and Technology, vol. 3, no. 3, Oct. 2022, pp. 29-39
[42] Beyer, Betsy, et al. The site reliability workbook: practical ways to implement SRE. " O'Reilly Media, Inc.", 2018.
[43] Veluru, Sai Prasad. "Threat Modeling in Large-Scale Distributed Systems." International Journal of Emerging Research in Engineering and Technology 1.4 (2020): 28-37.
[44] Arundel, John, and Justin Domingus. Cloud Native DevOps with Kubernetes: building, deploying, and scaling modern applications in the Cloud. O'Reilly Media, 2019.
