Poojitha Kalaru
Cognitive Assistance for Cross-Platform Cloud Configuration Management
Abstract:
This paper presents a cognitive architectural framework for identifying and validating infrastructure configurations across heterogeneous cloud environments. The proposed approach combines semantic modeling, contextual analysis, and adaptive reasoning to address configuration challenges that are often overlooked by traditional rule-based solutions. The framework is conceptually developed through a comprehensive review of existing literature and observations from real-world deployment scenarios, highlighting persistent challenges such as implicit dependencies, platform-specific constraints, and insufficient parameter standardization.
The architecture introduces a multicloud abstraction layer and supports both pre-deployment validation and post-deployment analysis to enhance configuration reliability and reduce manual troubleshooting efforts. While the framework is not empirically evaluated, it is grounded in established infrastructure-as-code practices and aligns with widely adopted patterns in cross-platform cloud operations. Overall, this work offers a design-oriented contribution toward interpretable, context-aware validation mechanisms that can be integrated into modern DevOps workflows.
Profile:
An innovative and results-driven Software Developer with proven expertise in architecting, developing, and deploying high-performance enterprise applications at scale. Possesses strong hands-on experience in designing cloud-native, microservices-based systems, integrating APIs, and implementing fully automated CI/CD pipelines across AWS and Azure environments. Demonstrates a solid understanding of the Software Development Life Cycle (SDLC), Agile methodologies, DevOps practices, and modern software architecture patterns.
Highly proficient in multiple programming languages, including Java, Python, JavaScript and TypeScript, with extensive experience leveraging frameworks such as Spring Boot, React and Angular to build resilient, secure, and scalable solutions. Experienced in working with both relational and NoSQL databases—MySQL, PostgreSQL, MongoDB, and Oracle—to support data-driven applications.
Recognized for a strong commitment to clean code principles, maintainability, and performance optimization, while collaborating effectively with cross-functional teams to deliver innovative solutions. Passionate about continuous learning, emerging technologies, and contributing to knowledge-sharing platforms through research, conferences, and technical communities.