Intent-Based Infrastructure: Moving BeyondIaC to Self-Describing Systems
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V6I1P114Keywords:
Intent-Based Infrastructure, Infrastructure as Code, Self-Describing Systems, Declarative Configuration, DevOps, Cloud Automation, Closed-Loop Automation, System Intent, Policy-Driven Infrastructure, AI in Infrastructure ManagementAbstract
Rising as a fundamental concept in DevOps and cloud-native systems, Infrastructure as Code (IaC) allows teams to create, run, and maintain infrastructure utilizing version-activated scripts and code-based templates. Although this has maximized automation and improved repeatability, standard Infrastructure as Code (IaC) is fundamentally static; it states the expected state of the infrastructure rather than describing its objective or how it should adapt with respect to real developments. First to take front stage here is intent-based infrastructure (IBI). By putting directly into the infrastructure definition the desired outcomes such as availability, compliance, or performance IBI adopts a transformative approach. Rather than directly coding every component, engineers say the overarching goal is for the system to read, adapt, and continuously validate the fundamental configuration to match that intent. This method promotes a self-describing system whereby infrastructure may show its present status, explain its decisions, and change in real time by means of tight automation loops. As businesses become more complex and dynamic, the shortcomings of static Infrastructure as Code (IaC) become increasingly evident; so, infrastructure that may display cognitive skills instead of only processing commands is required. This work investigates the fundamental ideas of IBI: that of continual validation, intent resolution, and the blending of runtime telemetry with declarative models. Emphasizing advantages in resilience, operational efficiency, and developer autonomy, this case study examines a cloud-native organization switching from traditional Infrastructure as Code (IaC) to an intent-driven approach. At last, we consider the wider implications of IBI: its capacity to lower deviance, cut labor, and provide a foundation for intelligent, self-regulating infrastructure pretty neatly matched with corporate goals
References
[1] Leivadeas, Aris, and Matthias Falkner. "A survey on intent-based networking." IEEE Communications Surveys & Tutorials 25.1 (2022): 625-655.
[2] Kyryk, Marian, et al. "Infrastructure as Code and Microservices for Intent-Based Cloud Networking." Future Intent-Based Networking: On the QoS Robust and Energy Efficient Heterogeneous Software Defined Networks. Cham: Springer International Publishing, 2021. 51-68.
[3] Mascarenhas, Manuel Duarte, and Rui Santos Cruz. "Int2it: An intent-based tosca it infrastructure management platform." 2022 17th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2022.
[4] 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
[5] Veluru, Sai Prasad. "Reversible Neural Networks for Continual Learning with No Memory Footprint." International Journal of AI, BigData, Computational and Management Studies 5.4 (2024): 61-70.
[6] Velasco, Luis, et al. "End-to-end intent-based networking." IEEE communications Magazine 59.10 (2021): 106-112.
[7] Chaganti, Krishna Chaitanya. "Ethical AI for Cybersecurity: A Framework for Balancing Innovation and Regulation." Authorea Preprints (2025).
[8] Lalith Sriram Datla. “Cloud Costs in Healthcare: Practical Approaches With Lifecycle Policies, Tagging, and Usage Reporting”. American Journal of Cognitive Computing and AI Systems, vol. 8, Oct. 2024, pp. 44-66
[9] Paidy, Pavan. “Unified Threat Detection Platform With AI, SIEM, and XDR”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 6, no. 1, Jan. 2025, pp. 95-104
[10] 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
[11] Kumar, Manish, et al. "Infrastructure as code (IAC): insights on various platforms." Sentiment Analysis and Deep Learning: Proceedings of ICSADL 2022. Singapore: Springer Nature Singapore, 2023. 439-449.
[12] 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
[13] 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.
[14] .Alam, Sajid, and Wang-Cheol Song. "Intent-Based Network Resource Orchestration in Space-Air-Ground Integrated Networks: A Graph Neural Networks and Deep Reinforcement Learning Approach." IEEE Access (2024).
[15] Prasad, K. S. N. V., et al. "Adsorption of methylene blue dye onto low cost adsorbent, cocoa seeds shell powder using a fixed bed column." AIP Conference Proceedings. Vol. 3122. No. 1. AIP Publishing LLC, 2024.
[16] Paidy, Pavan, and Krishna Chaganti. “LLMs in AppSec Workflows: Risks, Benefits, and Guardrails”. International Journal of AI, BigData, Computational and Management Studies, vol. 5, no. 3, Oct. 2024, pp. 81-90
[17] Task, Task, et al. "D4. 1 INTENT-BASED DECENTRALISED FLUIDOS CONTINUUM." (2022).
[18] Yasodhara Varma. “Real-Time Fraud Detection With Graph Neural Networks (GNNs) in Financial Services”. Los Angeles Journal of Intelligent Systems and Pattern Recognition, vol. 4, Nov. 2024, pp. 224-41
[19] Jani, Parth, and Sarbaree Mishra. "UM PEGA+ AI Integration for Dynamic Care Path Selection in Value-Based Contracts." International Journal of AI, BigData, Computational and Management Studies 4.4 (2023): 47-55.
[20] Martin, Angel, et al. "Open-VERSO: a vision of 5G experimentation infrastructures, hurdles and challenges." arXiv preprint arXiv:2308.14532 (2023).
[21] Chaganti, Krishna Chaitanya. "A Scalable, Lightweight AI-Driven Security Framework for IoT Ecosystems: Optimization and Game Theory Approaches." Authorea Preprints (2025).
[22] Talakola, Swetha. “Analytics and Reporting With Google Cloud Platform and Microsoft Power BI”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 3, no. 2, June 2022, pp. 43-52
[23] Shukla, Avinash, et al. Cisco Cloud Infrastructure. Cisco Press, 2023.
[24] 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
[25] 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
[26] Fuad, Ahlam, et al. "An intent-based networks framework based on large language models." 2024 IEEE 10th International Conference on Network Softwarization (NetSoft). IEEE, 2024.
[27] Abdul Jabbar Mohammad, and Guru Modugu. “Behavioral Timekeeping—Using Behavioral Analytics to Predict Time Fraud and Attendance Irregularities”. Artificial Intelligence, Machine Learning, and Autonomous Systems, vol. 9, Jan. 2025, pp. 68-95
[28] Tarra, Vasanta Kumar. “Personalization in Salesforce CRM With AI: How AI ML Can Enhance Customer Interactions through Personalized Recommendations and Automated Insights”. International Journal of Emerging Research in Engineering and Technology, vol. 5, no. 4, Dec. 2024, pp. 52-61
[29] Sangeeta Anand, and Sumeet Sharma. “Scalability of Snowflake Data Warehousing in Multi-State Medicaid Data Processing”. JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING ( JRTCSE), vol. 12, no. 1, May 2024, pp. 67-82
[30] Atluri, Anusha, and Vijay Reddy. “Cognitive HR Management: How Oracle HCM Is Reinventing Talent Acquisition through AI”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 6, no. 1, Jan. 2025, pp. 85-94
[31] Pasupuleti, Vikram, et al. "Impact of AI on architecture: An exploratory thematic analysis." African Journal of Advances in Science and Technology Research 16.1 (2024): 117-130.
[32] Subramanya, Tejas, Roberto Riggio, and Tinku Rasheed. "Intent-based mobile backhauling for 5G networks." 2016 12th International Conference on Network and Service Management (CNSM). IEEE, 2016.
[33] Kodete, Chandra Shikhi, et al. "Robust Heart Disease Prediction: A Hybrid Approach to Feature Selection and Model Building." 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS). IEEE, 2024.
[34] Arugula, Balkishan. “Prompt Engineering for LLMs: Real-World Applications in Banking and Ecommerce”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 6, no. 1, Jan. 2025, pp. 115-23
[35] Chaganti, Krishna Chiatanya. "Securing Enterprise Java Applications: A Comprehensive Approach." International Journal of Science And Engineering 10.2 (2024): 18-27.
[36] Jani, Parth. "AI AND DATA ANALYTICS FOR PROACTIVE HEALTHCARE RISK MANAGEMENT." INTERNATIONAL JOURNAL 8.10 (2024).
[37] Mehdi Syed, Ali Asghar. “Disaster Recovery and Data Backup Optimization: Exploring Next-Gen Storage and Backup Strategies in Multi-Cloud Architectures”. International Journal of Emerging Research in Engineering and Technology, vol. 5, no. 3, Oct. 2024, pp. 32-42
[38] 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
[39] Shen, Yiwen, et al. "Intent-based management for software-defined vehicles in intelligent transportation systems." 2024 IEEE 10th International Conference on Network Softwarization (NetSoft). IEEE, 2024.
[40] Kupunarapu, Sujith Kumar. "Data Fusion and Real-Time Analytics: Elevating Signal Integrity and Rail System Resilience." International Journal of Science And Engineering 9.1 (2023): 53-61.
[41] 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
[42] Lalith Sriram Datla, and Samardh Sai Malay. “Transforming Healthcare Cloud Governance: A Blueprint for Intelligent IAM and Automated Compliance”. Journal of Artificial Intelligence & Machine Learning Studies, vol. 9, Jan. 2025, pp. 15-37
[43] Tarra, Vasanta Kumar. “Telematics & IoT-Driven Insurance With AI in Salesforce”. International Journal of AI, BigData, Computational and Management Studies, vol. 5, no. 3, Oct. 2024, pp. 72-80
[44] Schulz, Dirk. "Intent-based automation networks: Toward a common reference model for the self-orchestration of industrial intranets." IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2016.
[45] 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
[46] Paidy, Pavan, and Krishna Chaganti. “Resilient Cloud Architecture: Automating Security Across Multi-Region AWS Deployments”. International Journal of Emerging Trends in Computer Science and Information Technology, vol. 5, no. 2, June 2024, pp. 82-93
[47] Bezahaf, Mehdi, et al. "Self-generated intent-based system." 2019 10th International Conference on Networks of the Future (NoF). IEEE, 2019.
[48] Veluru, Sai Prasad. "Bidirectional Curriculum Learning: Decelerating and Re-accelerating Learning for Robust Convergence." International Journal of Emerging Trends in Computer Science and Information Technology 5.2 (2024): 93-102.
[49] Aklamanu, Fred, et al. "Intent-based real-time 5G cloud service provisioning." 2018 IEEE Globecom Workshops (GC Wkshps). IEEE, 2018.
[50] V. M. Aragani and P. K. Maroju, "Future of blue-green cities emerging trends and innovations in iCloud infrastructure," in Advances in Public Policy and Administration, pp. 223–244, IGI Global, USA, 2024.
