Annotating Log Data For Machine Learning - Julia Li скачать в хорошем качестве

Annotating Log Data For Machine Learning - Julia Li

Presented at All Things Open 2023 Presented by Julia Li - VMware Title: Annotating Log Data for Machine Learning Abstract: Have you noticed the lack of tools while digging through thousands of log lines for the root cause? All too common for engineers, this is a slow and painful process due to the sheer amount log data being vast and messy especially if the logs capture the output of events running in parallel. Commercial log analysis tools like Splunk make it easier to dissect the logs, but significant domain knowledge and time are required to troubleshoot and identify the issue. In this talk, I will discuss our own journey into log root cause analysis using NLP. Specifically, we’ll discuss an end-to-end NLP-based log analysis system designed to help scale out the error triage process by automatically categorizing the type of fault in each log file. Find more info about All Things Open: On the web: https://www.allthingsopen.org/ Twitter:   / allthingsopen   LinkedIn:   / all-things-open   Instagram:   / allthingsopen   Facebook:   / allthingsopen   Mastodon: https://mastodon.social/@allthingsopen Threads: https://www.threads.net/@allthingsopen 2023 conference: https://2023.allthingsopen.org/