LLexus: an AI agent system for incident management
Pedro Las-Casas, Alok Kumbhare, Rodrigo Fonseca, Sharad Agarwal
ACM SIGOPS Operating Systems Review | August 2024
Publications
Publications by Year
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Building AI Agents for Autonomous Clouds: Challenges and Design Principles
Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
July 2024
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Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering
Pedro Las-Casas, Giorgi Papakerashvili, Vaastav Anand, Jonathan Mace
2019 Symposium on Cloud Computing | November 2019
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Weighted Sampling of Execution Traces: Capturing More Needles and Less Hay
Pedro Las-Casas, Jonathan Mace, Dorgival Guedes, Rodrigo Fonseca
2018 Symposium on Cloud Computing | October 2018
Publications by Research Area
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LLexus: an AI agent system for incident management
Pedro Las-Casas, Alok Kumbhare, Rodrigo Fonseca, Sharad Agarwal
ACM SIGOPS Operating Systems Review | August 2024
Building AI Agents for Autonomous Clouds: Challenges and Design Principles
Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
July 2024
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
September 2023
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Building AI Agents for Autonomous Clouds: Challenges and Design Principles
Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
July 2024
-
LLexus: an AI agent system for incident management
Pedro Las-Casas, Alok Kumbhare, Rodrigo Fonseca, Sharad Agarwal
ACM SIGOPS Operating Systems Review | August 2024
Building AI Agents for Autonomous Clouds: Challenges and Design Principles
Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
July 2024
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
September 2023
Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering
Pedro Las-Casas, Giorgi Papakerashvili, Vaastav Anand, Jonathan Mace
2019 Symposium on Cloud Computing | November 2019
Weighted Sampling of Execution Traces: Capturing More Needles and Less Hay
Pedro Las-Casas, Jonathan Mace, Dorgival Guedes, Rodrigo Fonseca
2018 Symposium on Cloud Computing | October 2018
Publications by Type
-
Building AI Agents for Autonomous Clouds: Challenges and Design Principles
Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
July 2024
-
LLexus: an AI agent system for incident management
Pedro Las-Casas, Alok Kumbhare, Rodrigo Fonseca, Sharad Agarwal
ACM SIGOPS Operating Systems Review | August 2024
-
-
Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering
Pedro Las-Casas, Giorgi Papakerashvili, Vaastav Anand, Jonathan Mace
2019 Symposium on Cloud Computing | November 2019
Weighted Sampling of Execution Traces: Capturing More Needles and Less Hay
Pedro Las-Casas, Jonathan Mace, Dorgival Guedes, Rodrigo Fonseca
2018 Symposium on Cloud Computing | October 2018