Architecting Splunk Enterprise Deployments (ASED)

 

Course Content

This 9-hour module focuses on large enterprise deployments. Students learn steps and best practices for planning, data collection and sizing for a distributed deployment. Workshop-style labs challenge students to make design decisions about an example enterprise deployment.

Please note that this class may run across two days, with 4.5 hour sessions each day.

Prerequisites

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

  • Fundamentals 1 & 2 (Retired)

Or the following single-subject modules:

Students should also understand the following courses:

Course Objectives

  • Requirements definition
  • Index and resource planning
  • Clustering Overview
  • Forwarder and Deployment
  • Integration
  • Performance Monitoring and Tuning
  • Use Cases

Outline: Architecting Splunk Enterprise Deployments (ASED)

Topic 1 – Introduction

  • Overview of the Splunk deployment planning process and associated tools

Topic 2 – Project Requirements

  • Identify critical information about environment, volume, users, and requirements
  • Review checklists and resources to aid in collecting requirements

Topic 3 – Infrastructure Planning: Index Design

  • Design and size indexes
  • Estimate storage requirements
  • Identify relevant apps

Topic 4 – Infrastructure Planning: Resource Planning

  • List sizing factors for servers
  • Describe how reference hardware is used to scale deployments
  • Identify the impact of clustering for index replication and for search heads

Topic 5- Clustering Overview

  • Describe the different clustering capabilities
  • Introduce the concepts of indexer and search head clustering

Topic 6 - Forwarder and Deployment Best Practices

  • Review types of forwarders
  • Describe how to manage forwarder installation
  • Review configuration management for all Splunk components, using Splunk deployment tools
  • Provide best practices for a Splunk deployment

Topic 7 - Integration

  • Describe integration methods
  • Identify common integration points

Topic 8 – Performance Monitoring and Tuning

  • Use the Monitoring Console to track the performance of your test environment
  • List options to fine tune performance for production environment

Topic 9 – Use Cases

  • Provide example architecture topologies
  • Discuss different architecture options based on use case

Prices & Delivery methods

Online Training

Duration 2 days

Price
  • Online Training: CAD 1,905
  • Online Training: US$ 1,500
Classroom Training

Duration 2 days

Price
  • Canada: CAD 1,905

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*   This class is delivered by a partner.

United States

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Online Training 09:00 US/Pacific * Enroll
Online Training 09:00 US/Eastern * Enroll