TReNDS利用Amazon Bedrock自动化根因分析
原标题：How TReNDS automates root-cause analysis with Amazon Bedrock
AI 摘要
TReNDS中心（佐治亚州立大学、佐治亚理工学院和埃默里大学的联合中心）在AWS上构建了一个自动化根因分析系统，结合Amazon CloudWatch订阅过滤器、AWS Lambda、Strands Agents SDK和Amazon Bedrock，实时检测错误、丰富日志上下文并生成AI驱动的根因分析。该系统通过让基础模型读取日志和源代码来加速故障排查，将调查时间从15-30分钟缩短至更短，同时确保数据驻留和合规性。
正文节选
How TReNDS automates root-cause analysis with Amazon Bedrock This is a guest post co-written with Vitaly Omelchenko from the TReNDS Center at Georgia State University. At the Center for Translational Research in Neuroimaging and Data Science (TReNDS), a joint center of Georgia State University, Georgia Institute of Technology, and Emory University, we develop and apply advanced analytical methods and neuroinformatics tools for brain health research. We’ve been running our infrastructure on Amazo