Course Outline

Introduction

  • Using mathematical algorithms to extract meaningful information

Using Predictive Analytics Models to Gain Insight on Human Behavior

Collecting Raw Data from Management and Monitoring Technologies

Understanding the Infrastructure Application Stack through Root Cause Analysis

Ranking the Impact of Multiple Root Causes (Service Impact Analysis)

Real-time Application Behavior Learning

Learning Infrastructure Behavior Using Dynamically Baselines Threshold

Determining Which Problems to Go After

Evaluating Analytics Technologies

Carrying Out Machine Learning on Big Data Using an AIOps Platform

Integrating Operations Data Silos

Continuously Fixing and Improving via Automation (CI/CD for core IT functions)

Summary and Conclusion

Requirements

  • Experience with IT operations

Audience

  • IT managers
  • Data analysts
  • Business analysts
  7 Hours
 

Testimonials

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