Architecting Enterprise Deployments 25th-26th March
16731
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Architecting Enterprise Deployments 25th-26th March

Architecting Enterprise Deployments 25th-26th March

$2,160.00

Units: 3

Duration: 9 hours over 2 days

Time:  9 am – 1:30 pm AEST (GMT +10)

This 12 hour course focuses on large enterprise deployments. Students will learn steps and best practices for planning, data collection, sizing and documenting a distributed deployment. Workshop-style labs offer students an opportunity to design a deployment based on a common distributed use case.

 

Course Topics
  • Deployment planning
  • Infrastructure planning
  • Data collection
  • Data comprehension
  • Search considerations
  • Development tools and external integration concepts
  • Operations and management
Class Format

Instructor-led lecture with labs. Delivered via virtual classroom or at your site.

 

Course Prerequisites
  • What is Splunk (e-learning)
  • Splunk System Administration
  • Splunk Data Administration
  • Strongly recommended:
    • Splunk Fundamentals 1
    • Splunk Fundamentals 2
    • Developing Apps with Splunk
Course Objectives

Module 1 – Introduction

  • Overview of the Splunk deployment planning, implementation process and associated tools
  • Understand computer technology components of a Splunk deployment

Module 2 – Planning

  • Define common customer goals and use cases
  • Gather information about environment, volume, users, and requirements
  • Create structured documentation of deployment planning artifacts

Module 3 – Infrastructure

  • Understand sizing factors
  • Discuss Splunk components and packaging
  • Understand how reference hardware is used to scale deployments
  • Understand how to estimate storage requirements
  • Identify topology and network scenarios
  • Understand security, authentication, authorisation and access control

Module 4 – Data Collection

  • Compare agent based and agentless data collection methods
  • Discuss data inputs
  • Compare remote collection methods
  • Discuss forwarders

Module 5 – Data Comprehension and Enrichment

  • Identify the six things you must get correct at index time
  • Discuss indexes
  • Discuss Common Information Model
  • Discuss data enrichment

Module 6 – Querying

  • Discuss search performance
  • Discuss differences between summarisation methods

Module 7 – Integration

  • Describe integration methods
  • Identify common integration points

Module 8 – Operations and Management

  • Identify ongoing tasks in a Splunk deployment
  • Discuss deployment management
  • Define monitoring tools
  • Identify backup and archiving methods
  • Discuss onboarding processes
  • Discuss high availability

This 9 hour course focuses on large enterprise deployments. Students will learn steps and best practices for planning, data collection, sizing and documenting a distributed deployment. Workshop-style labs offer students an opportunity to design a deployment based on a common distributed use case.