76 citations · 211 across the 22 of their papers we have counts for
7 papers · 1 filter
PRAXIS: Integrating Program Analysis with Observability for Root-Cause Analysis
Shengkun Cui, Rahul Krishna, Saurabh Jha +1
Unresolved production cloud incidents cost an average of over $2M per hour. This paper introduces PRAXIS, an orchestrator that manages and deploys an agentic workflow for diagnosin…
Repairing Tool Calls Using Post-tool Execution Reflection and RAG
Jason Tsay, Zidane Wright, Gaodan Fang +3
Agentic systems interact with external systems by calling tools such as Python functions, REST API endpoints, or command line tools such as kubectl in Kubernetes. These tool calls…
CPU-Limits kill Performance: Time to rethink Resource Control
Chirag Shetty, Sarthak Chakraborty, Hubertus Franke +4
Research in compute resource management for cloud-native applications is dominated by the problem of setting optimal CPU limits -- a fundamental OS mechanism that strictly restrict…
STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds
Yinfang Chen, Jiaqi Pan, Jackson Clark +7
In cloud-scale systems, failures are the norm. A distributed computing cluster exhibits hundreds of machine failures and thousands of disk failures; software bugs and misconfigurat…
INDIGO: Page Migration for Hardware Memory Disaggregation Across a Network
Archit Patke, Christian Pinto, Saurabh Jha +3
Hardware memory disaggregation (HMD) is an emerging technology that enables access to remote memory, thereby creating expansive memory pools and reducing memory underutilization in…
Story of Two GPUs: Characterizing the Resilience of Hopper H100 and Ampere A100 GPUs
Shengkun Cui, Archit Patke, Hung Nguyen +11
This study characterizes GPU resilience in Delta, a large-scale AI system that consists of 1,056 A100 and H100 GPUs, with over 1,300 petaflops of peak throughput. We used 2.5 years…
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks
Saurabh Jha, Rohan Arora, Yuji Watanabe +40
Realizing the vision of using AI agents to automate critical IT tasks depends on the ability to measure and understand effectiveness of proposed solutions. We introduce ITBench, a…