The Power of Control Charts: How to Use Them, Read Them, and Build Them

In this course designed by performance and capacity expert Dr. Igor Trubin, learners will participate in lectures and hands-on activities to become familiar with:

• Machine learning based Anomaly Detection techniques
• Classical (SPC) and MASF (For system performance data) Control Charting
• Control Chart use
• Types of Control Charts
• Reading, building, and interpreting Control Charts
• Typical cases of real-world issues captured by an anomaly detection system – VMs, Mainframes, Middleware, E2E response, and more
• How to build free AWS cloud server with R and build Control Charts
• Performance anomaly (Perfomaly) detection system R implementation example (SEDS-lite—open source-based tool)

Course Syllabus

• Performance Anomaly Detection – concept
• Detecting Performance Anomalies (“Perfomalies”) by Control Charts
• Detecting Performalies by IT-Charts
• Setting up Free AWS Public Cloud EC2 Server with R-Studio to Develop and Run Simple Performaly Detection Programs
• Practice 1: Examples and Exercises (using Spreadsheet)
• Practice 2: Examples and Exercises (using R on AWS cloud)
• Final Consideration – Build your Own Performaly Detection System!
• Quiz

Fees: $0 for Members, $149 for Non-Members

Time to Complete: Appx 5 hours

Certificate/Digital Badge: Yes, a Certificate of Completion will be issued.

This course is FREE to CMG annual members. Log in to access the course.

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Purchase the Course - $149

Purchase a Membership - $175