Architecting Splunk 8.0.1 Enterprise Deployments

Upcoming Classes

Online

Instructor-led online training

Location	May 2022	Jun 2022	Jul 2022
APAC Sydney - Virtual	May 30 – May 31
AMER Pacific Time - Virtual		Jun 2 – Jun 3 Jun 23 – Jun 24	Jul 11 – Jul 12 Jul 25 – Jul 26
EMEA UK Time - Virtual		Jun 13 – Jun 14 Jun 27 – Jun 28	Jul 7 – Jul 8 Jul 18 – Jul 19
AMER Eastern Time - Virtual		Jun 13 – Jun 14 Jun 27 – Jun 28	Jul 11 – Jul 12 Jul 25 – Jul 26
APAC Singapore - Virtual		Jun 20 – Jun 21	Jul 11 – Jul 12

Summary

This nine-hour course focuses on large enterprise deployments. Students will 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.

Description

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

Duration

2 Days

Objectives

Module 1 – Introduction

Overview of the Splunk deployment planning process and associated tools

Module 2 – Project Requirements

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

Module 3 – Infrastructure Planning: Index Design

Design and size indexes
Estimate storage requirements
Identify relevant apps

Module 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

Module 5 - Clustering Overview

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

Module 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

Module 7 - Integration

Describe integration methods
Identify common integration points

Module 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

Module 9 – Use Cases

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

Prerequisites

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

Splunk Fundamentals 1
Splunk Fundamentals 2

OR the following single-subject courses:

What Is Splunk?
Intro to Splunk
Using Fields
Introduction to Knowledge Objects
Creating Knowledge Objects
Creating Field Extractions

Students should also have completed the following courses:

Splunk System Administration
Splunk Data Administration

Public Training

APAC Sydney - Virtual

May 30 – May 31

9:00 AM - 1:30 PM AEST

$ 1500.00 USD

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Architecting Splunk 8.0.1 Enterprise Deployments

Architecting Splunk 8.0.1 Enterprise Deployments