Machine Learning Applied to SMF Data to Keep You Ahead of Critical Issues
Project and Program:
MVS,
MVS Performance
Tags:
Proceedings,
SHARE Dallas 2022
“Data is like garbage. You’d better know what you are going to do with it before you collect it†- Mark Twain.
SMF facility provides full "instrumentation" of all baseline activities running on that IBM mainframe operating system, including I/O, network activity, software usage, error conditions, processor utilization, etc. SMF data is complex. Understanding how to decompose an SMF record for use typically requires a mainframe subject matter expert. This session talks about how we can collect the SMF data in real time and apply machine learning so that you can stay ahead of issues.
#AIOPS
#Anomaly detection
#SMF
#Automation
#Alert Clustering
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