GenAI for bottleneck Detection in Cloud Architecture
The rapid adoption of cloud computing, accelerated by the global pandemic, has increased the need for efficient cloud architecture that balances cost and performance. As organizations migrate applications to the cloud, cloud architects face challenges in managing an overwhelming number of services—often exceeding a thousand. This paper presents a novel tool designed for editable cloud architecture management that automates the optimization process.
Authors
- Manju Ramesh (ORCID: https://orcid.org/0000-0002-2720-3276)
- Sharod Roy Choudhury
- Chetan Phalak (ORCID: https://orcid.org/0009-0007-2575-6436)
- Dheeraj Chahal (ORCID: https://orcid.org/0009-0000-7398-0749)
- Rekha Singhal (ORCID: https://orcid.org/0000-0002-3712-1784)
Institutions
- Tata Consultancy Services (India) (IN)
Publication Details
- Published
- 2025-05-03
- DOI
- https://doi.org/10.1145/3680256.3721333
- Primary Topic
- Software System Performance and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00