Course Outline

Module 1 – Key Concepts

● Basic ITSI User Interface

● Key App Organizational Concepts

● Useful Add-ons and Apps

● Install ITSI Support Software

● Identify Add-on and App Dependencies

Module 2 – About Entities and Types

● Entity basics

● Entity Type basics

● Explore existing types

● Edit and create Entity Types

Module 3 – Creating and Importing Entities

● Manually creating entities

● Importing entities by search

● Entity management and retirement policies

● Delete or retire entities

● Monitoring entities 

Module 4 – Service Plan

● Understanding service health scores

● Defining service dependencies

● Finding and using data for a service

● Compile a service plan

Module 5 – Key Performance Indicator Design

● Understanding KPIs

● KPI criteria and sources

● Defining KPI thresholds

● Designing a service’s KPIs

Module 6 – KPI Base Searches

● Analyze a data environment

● Identify entity-oriented KPIs

● Creating Base Searches

● Understanding and using pseudo entities

Module 7 – Implementing Services

● Creating the ITSI service from the plan

● Create KPIs using base searches

● Configure KPI lag and backfill

● Set KPI importance

● Calculate service health score

Module 8 – Service Templates

● About Service Templates

● Create a template from a service

● Create a service from a template

● Create dependencies between services

Module 9 – Service Sandbox

● Understanding the Service Sandbox

● Creating a file for Sandbox import

● Import a Service Sandbox

● Create dependencies between services

● Perform a Service Health Score simulation

Module 10 – Using Thresholds and Time Policies

● Understanding static thresholds

● Configure KPI thresholds

● Use aggregate and entity-level thresholds

● Apply time policies to thresholds 

● Create custom threshold templates

Module 11 – Machine Learning and AI in ITSI

● Understanding ML/AI-assisted threshold types and algorithms

● Configure adaptive thresholds

● Configure AI Recommended thresholds

● Create a custom adaptive threshold template

Module 12 – Predictive Analytics

● Define predictive analytics

● Train a predictive model

● Configure predictive analytics for services

● Configure alerting for predicted Service Health Scores

Module 13 – Anomaly Detection

● Understanding anomaly detection

● Configure anomaly detection for KPIs

● Alerts for Deep Dives and Notable Event Episodes

Module 14 – Multi-KPI Alerts and Correlation Searches

● Define Multi-KPI alerts

● Create Multi-KPI alerts

● Understanding Correlation Searches

● Describing existing Correlation Searches

● Defining a Correlation Search

Module 15 – Notable Event Aggregation Policies

● Define aggregation policy capabilities

● Modify the default aggregation policy

● Create a custom aggregation policy

● Describe Action Rules

● Understand third-party integrations