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Splunk Mastery: Build and Deploy Every Essential Component
Highest Rated
Rating: 4.6 out of 5(14 ratings)
170 students

Splunk Mastery: Build and Deploy Every Essential Component

Splunk Backend Administration and Data Onboarding
Last updated 2/2026
English

What you'll learn

  • Comprehend the core components and architecture of Splunk, including indexers, search heads, and forwarders.
  • Understand the principles and implementation of indexer clustering to ensure data replication and fault tolerance.
  • Master the setup and management of search head clusters for high availability and load balancing.
  • Acquire skills to identify, diagnose, and resolve common issues in Splunk deployments, ensuring continuous system health and availability.

Course content

13 sections77 lectures7h 58m total length
  • Introduction2:11

    Master Splunk architecture by building search head clusters, indexer clusters, and deployment servers; learn log ingestion, universal and heavy forwarders, and the essential comp files for interviews.

  • Requirements for this Course2:24

    Assess your system requirements and set up virtualization with Proxmox to run Splunk instances, from standalone to indexer and search head clusters, depending on your hardware.

  • Setting Static Addresses When Virtualizing4:23

    Learn to convert a Linux machine from DHCP to a static IP by editing /etc/netplan YAML, setting address 179/24, gateway, and name servers, then apply with sudo netplan apply.

  • Architecture Design10:19

    Plan a Splunk environment with an index cluster of three indexers and a master node, plus license server, management console, deployment server, and search head cluster managed by a deployer.

  • Hardware Spec Guides13:03

    Learn how to size Splunk deployments with hardware guidelines for single instances, search heads, and indexers, including virtualization tips, storage planning, and managing through a Proxmox and Ubuntu setup.

  • Installing A Splunk Enterprise Instance7:46

    Install Splunk enterprise from tar and create the splunk user on Linux, then start Splunk and enable boot startup for clustering across indexers and master node via port 8000.

  • Upgrading a Splunk Enterprise Instance3:06

    Stop the Splunk instance, untar the upgrade package over the original installation, and restart to apply the migration. Review configuration changes before finalizing, noting tar-based upgrades can be simple.

Requirements

  • A basic understanding of System Administration commands on a Linux (we will use Ubuntu) Operating System.

Description

Unlock the full potential of Splunk with our comprehensive course, "Supercharge Your Knowledge for Splunk System Administration." This course is designed for IT professionals, data analysts, and system administrators who want to become proficient in setting up and managing Splunk environments, as well as effectively ingesting and analyzing logs from diverse sources.

Course Objectives:

  • Understand the core components and architecture of Splunk.

  • Learn best practices for setting up a scalable and secure Splunk infrastructure.

  • Gain hands-on experience in installing and configuring Splunk on various platforms.

  • Explore different methods of log ingestion, including forwarders, syslog, APIs, and cloud services.

  • Master the process of indexing and parsing data to optimize search performance.

  • Develop skills to monitor and troubleshoot Splunk deployments.

  • Implement security measures to protect data and ensure compliance.


Key Topics:

  1. Introduction to Splunk:

    • Overview of Splunk’s architecture and components

    • Key use cases and benefits

  2. Setting Up Splunk Infrastructure:

    • System requirements and planning

    • Installation and configuration of Splunk Enterprise

    • Deploying Splunk in distributed environments

  3. Data Ingestion Methods:

    • Understanding data sources and data types

    • Configuring forwarders for efficient data collection

    • Using syslog for centralized logging

    • Ingesting data via APIs and cloud services

  4. Indexing and Parsing Data:

    • Creating and managing indexes

    • Configuring inputs.conf and props.conf for data parsing

    • Utilizing field extractions and data transformations

  5. Monitoring and Troubleshooting:

    • Setting up monitoring tools and dashboards

    • Identifying and resolving common issues

    • Performance tuning and optimization.

Who this course is for:

  • For people who want to find employment or improve their skills using Spunk