As companies go digital, IT teams must support more business-critical services in increasingly complex environments.
Traditional ITOps tools aren’t equipped to manage these hybrid environments and prevent teams from effectively supporting business demands. Splunk equips organizations with the agility, speed and visibility required to protect today’s business-critical services and their hybrid environments.
Splunk IT Service Intelligence (ITSI) is an analytics and IT management solution that empowers teams to predict incidents before they impact customers. ITSI correlates and applies machine learning intelligence to data collected from monitoring sources for 360° service visibility, predictive analytics and streamlined alert management.
Overview
This 18 hour Implementing Splunk IT Service Intelligence course is designed for administrator users who will implement Splunk IT Service Intelligence for analysts to use. The first day includes the day of content from Using Splunk IT Service Intelligence.
Skills Covered
- Navigating ITSI Cloud and Service Analyzers
- Visualizing Services with Glass Tables
- Investigating Issues with Deep Dives
- Managing Episodes
Prerequisites
To be successful, students should have a working understanding of the following courses:
Either these courses:
- What is Splunk?
- Intro to Splunk
- Using Fields
- Scheduling Reports and Alerts
- Visualizations
- Working with Time
- Correlation Analysis
- Introduction to Knowledge Objects
- Creating Knowledge Objects
- Data Models
- Introduction to Dashboards
Or these courses:
- Splunk Fundamentals 1
- Splunk Fundamentals 2
- Splunk Fundamentals 3
- Advanced Searching and Reporting
And the following courses:
- Splunk Enterprise System Administration
- Splunk Enterprise Data Administration
Target Audience
Everyone can attend.
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
Dates & Locations
June 16, 2026 - June 19, 2026
July 14, 2026 - July 17, 2026
Exam & Certification
This course is not associated with any Certification.
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