Module 1 – Monitoring Services with Service Analyzers

• Plan ITSI services
• Design service KPI properties
• Identify entity-oriented KPIs
• Identify dependencies between services

Module 2 – Monitoring Entities with Infrastructure Overview

• Analyze a data environment
• Identify necessary data sources for KPIs
• Plan data intake for IT Service Intelligence configuration
• Implement base searches to support service design

Module 3 – Visualizing Services with Glass Tables

• Identify ITSI roles and capabilities
• Describe service level roles and team ownership
• Control access to ITSI views

Module 4 – Investigating Issues with Deep Dives

• Use a service design to implement services in ITSI
• Create KPIs using base searches
• Configure basic KPI settings for calculation and aggregation
• Configure KPI lag and backfill
• Set KPI importance
• Calculate service health score

Module 5 – Managing Alerts and Episodes

• Define entities and entity types
• Creating and importing entities
• Creating a service using pre-built KPIs
• Associate entities with an existing service
• Delete or retire entities
• Define and use pseudo entities
• Monitoring entities

Module 6 – Templates and Dependencies

• Define service template use cases
• Create service templates
• Create new services from templates
• Create dependencies between services

Module 7 – Thresholds and Time Policies

• Configure KPI thresholds
• Use aggregate and entity-level thresholds
• Use static and adaptive thresholds
• Apply time policies to thresholds
• Create custom threshold templates

Module 8 – Anomaly Detection and Predictive Analytics

• Define anomaly detection
• Define predictive analytics
• Configure anomaly detection for KPIs
• Configure predictive analytics for services

Module 9 – Correlation Searches and Multi-KPI Alerts

• Define new correlation searches
• Define Multi-KPI alerts
• Manage notable event storage

Module 10 – Aggregation Policies

• Define aggregation policy capabilities
• Modify the default aggregation policy
• Understand Smart Mode
• Create new aggregation policies
• Use aggregation policies to automate notable event response

Implementing Splunk IT Service Intelligence 4.15 Course Prerequisites:

To be successful in the course “Using Splunk IT Service Intelligence,” students should have a working understanding of the following prerequisites:

1. Either these completed Certification Paths:
   • Splunk Enterprise System Administration
   • Splunk Enterprise Data Administration

Or, alternatively, these individual courses:

• What is Splunk?
• Intro to Splunk
• Using Fields
• Visualizations
• Introduction to Knowledge Objects
• Creating Knowledge Objects
• Creating Field Extraction