Implementing Splunk IT Service Intelligence

Course code: SPLUNKIII

This 18-hour course is designed for administrator users who willimplement Splunk IT Service Intelligence for analysts to use. The firstday includes the day of content from Using Splunk IT ServiceIntelligence.

2 000 EUR

2 420 EUR including VAT

The earliest date from 24.10.2022

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Course dates

Starting date: 24.10.2022

Type: Virtual

Course duration: 4 days

Language: en

Price without VAT: 2 000 EUR

Register

Starting date: 31.10.2022

Type: Virtual

Course duration: 4 days

Language: en

Price without VAT: 2 000 EUR

Register

Starting date: Individual

Type: Individual

Course duration: 4 days

Language: en

Price without VAT: 2 000 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
24.10.2022 Virtual 4 days en 2 000 EUR Register
31.10.2022 Virtual 4 days en 2 000 EUR Register
Individual Individual 4 days en 2 000 EUR Register
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Course structure

Using Modules 1-4

  • 1 – Navigating ITSI Cloud and Service Analyzers
  • 2 – Visualizing Services with Glass Tables
  • 3 – Investigating Issues with Deep Dives
  • 4 – Managing Episodes

Module 1 – Deployment and Initial Configuration

  • Understand IT Service Intelligence licensing
  • Describe factors affecting IT Service Intelligence performance
  • Identify IT Service Intelligence components
  • Configure IT Service Intelligence roles
  • Configure IT Service Intelligence modules
  • Describe IT Service Intelligence deployment options
  • List IT Service Intelligence hardware recommendations
  • Describe the installation procedure
  • Understand IT Service Intelligence licensing
  • Describe factors affecting IT Service Intelligence performance
  • Identify IT Service Intelligence components
  • Configure IT Service Intelligence roles
  • Configure IT Service Intelligence modules

Module 2 – Designing Services

  • Given customer requirements, plan ITSI services
  • Design service KPI properties, such as schedules, importance,
  • Identify entity-oriented KPIs
  • Identify dependencies between services

Module 3 – Data Audit and Base Searches

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

Module 4 – Implementing Services

  • Use a service design to implement services in IT Service Intelligence
  • 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 – 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 6 – Entities and Modules

  • Add KPIs to services from modules
  • Identify good use cases for entities
  • Define entities in services
  • Use entities in KPI searches
  • Use pseudo entities in KPI searches

Module 7 – Templates and Dependencies

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

Module 8 – Anomaly Detection and Predictive Analytics

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

Module 9 – Access Control

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

Module 10 – Customization, Maintenance, Troubleshooting

  • Use backup and restore tools
  • Install content packs
  • Use maintenance mode for services and entities
  • Understand the ITSI REST interface
  • ITSI troubleshooting

Module 11 – Correlation Searches and Multi-KPI Alerts

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

Module 12 – 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

Prerequisites

To be successful, students should have a solid understanding of the following courses:

  • Splunk Fundamentals 1
  • Splunk Fundamentals 2
  • Splunk Fundamentals 3
  • Advanced Searching and Reporting

Or the following single-subject courses:

  • What is Splunk?
  • Intro to Splunk
  • Using Fields
  • Scheduling Reports and Alerts
  • Visualizations
  • Working with Time
  • Leveraging Lookups and Sub-searches
  • Correlation Analysis
  • Search Under the Hood
  • Search Optimization
  • Introduction to Knowledge Objects
  • Creating Knowledge Objects
  • Creating Field Extractions
  • Enriching Data with Lookups
  • Data Models
  • Introduction to Dashboards
  • Dynamic Dashboards

Students should also have completed the following courses

  • Splunk Enterprise System Administration
  • Splunk Enterprise Data Administration

Do you need advice or a tailor-made course?

daniel

Daniel Šťastný

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