Splunk Enterprise Deployment Practical Lab
This 24-hour practical lab exercise is designed to take you through the tasks of a complete mock development. Each participant is given access to a specified number of Linux servers and a set of requirements. Participants then perform a mock deployment according to requirements which adhere to Splunk Deployment Methodology and best-practices.
Audience:
This course is designed for system administrators who are responsible for managing the Splunk Enterprise environment.
Prerequisites
To be successful, students should have a solid understanding of the following single-subject modules:
- What is Splunk?
- Intro to Splunk
- Using Fields
- Intro to Knowledge Objects
- Creating Knowledge Objects
- Creating Field Extractions
Students should also have completed the following courses:
Splunk System Administration
Splunk Data Administration
Course objectives
- Requirements definition
- Index and resource planning
- Clustering Overview
- Forwarder and Deployment
- Integration
- Performance Monitoring and Tuning
- Use Cases
Course content
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