Pedro Las-Casas

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

2024 Symposium on Cloud Computing | November 2024

Publication

LLexus: an AI agent system for incident management

Pedro Las-Casas, Alok Kumbhare, Rodrigo Fonseca, Sharad Agarwal

ACM SIGOPS Operating Systems Review | August 2024

Publication

Exploring LLM-based Agents for Root Cause Analysis

Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024

Publication Projet

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

Publication

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

DOI PDF Author's Version

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

DOI Publication Author's Version

Exploring LLM-based Agents for Root Cause Analysis

Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024

Publication Projet

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

2024 Symposium on Cloud Computing | November 2024

Publication

LLexus: an AI agent system for incident management

Pedro Las-Casas, Alok Kumbhare, Rodrigo Fonseca, Sharad Agarwal

ACM SIGOPS Operating Systems Review | August 2024

Publication

Exploring LLM-based Agents for Root Cause Analysis

Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024

Publication Projet

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

Publication

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

2024 Symposium on Cloud Computing | November 2024

Publication

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

2024 Symposium on Cloud Computing | November 2024

Publication

LLexus: an AI agent system for incident management

Pedro Las-Casas, Alok Kumbhare, Rodrigo Fonseca, Sharad Agarwal

ACM SIGOPS Operating Systems Review | August 2024

Publication

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

Publication

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

DOI PDF Author's Version

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

DOI Publication Author's Version

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

2024 Symposium on Cloud Computing | November 2024

Publication

Exploring LLM-based Agents for Root Cause Analysis

Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024

Publication Projet

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

DOI PDF Author's Version

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

DOI Publication Author's Version

LLexus: an AI agent system for incident management

Pedro Las-Casas, Alok Kumbhare, Rodrigo Fonseca, Sharad Agarwal

ACM SIGOPS Operating Systems Review | August 2024

Publication

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

Publication