Implementing Splunk IT Service Intelligence (ISITSI) – Outline

Detailed 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 integration