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Causal AI-based Root Cause Identification: Research to Practice at Scale - a technical and formal exploration
- By Saurabh Jha, Ph. D., IBM Research, Debasish Banerjee, Ph. D., Guild Systems Inc. et al. Feb 2025.
Observability platforms that provide deep insights into system behavior and help identify performance bottlenecks are not just helpful—they are essential for maintaining reliability, ensuring optimal performance, and quickly resolving issues in production. The ability to reason about these systems in real-time is critical to ensuring the scalability and stability of modern services. This paper delves into IBM Instana’s failure diagnosis capabilities, with special emphasis on its implementation of the RCI algorithm, its theoretical aspects at a high level of abstraction, citing real-life examples.

Understanding causal AI-based Root Cause Identification (RCI) in IBM Instana - a technical deep dive into the RCI feature in Instana
By Saurabh Jha, Ph. D., IBM Research and Debasish Banerjee, Ph. D., Guild Systems. Feb 2025.
By
In this article, we highlight the practical value of Instana’s causal AI-based RCI methods by citing real-life examples and putting Instana’s RCI within the broader context of available monitoring and observability tools.
Manage your cloud spend by optimizing resource usage automatically without compromising your applications’ SLAs. Utilize Causal AI to pinpoint the root causes of various application failures in near real-time and address them using Gen AI. Modernize your applications on distributed and Z platforms with Gen AI's assistance.
IBM Developer Works, IBM Developer, Feb. 2025
https://developer.ibm.com/articles/root-cause-identification-instana
Saurabh Jha, Ph. D., IBM Research and Debasish Banerjee, Ph. D., Guild Systems Inc.
Understanding the data collection and action execution mechanisms of Turbonomic
A technical deep dive into Turbonomic probes, IBM Developer, March 2024
Banerjee, D., and Biswas, A.
Understanding Application Resource Management using Turbonomic
Principles and operational characteristics of Turbonomic, IBM Developer, May, 2022
developer.ibm.com/articles/understanding-application-resource-management-using-turbonomic
Banerjee, D., and Gries, J.
Mono2Micro: A practical and effective tool for decomposing monolithic Java applications to microservices
In Proceedings of the 29th ACM Joint Meetings on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Athens, Greece, Aug. 2021, pp. 1214-1224
Kalia, A., Xiao, J., Krishna, R., Sinha, S., Vukovic. M, and Banerjee, D.
Modernizing and Optimizing Spring Boot Applications
IBM Developer Works, IBM Developer, Jan. 2020
https://developer.ibm.com/articles/modernize-and-optimize-spring-boot-applications/
Sundaresan, V., Banerjee, D., and Pickett, T.
Cornell University, arxiv.org
https://arxiv.org/pdf/2502.18240
Saurabh Jha, Ph. D., IBM Research, Debasish Banerjee, Ph. D., Guild Systems Inc. et al
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