🔍 Log Management Operator

Splunk Operator

Learn how to deploy and manage Splunk Enterprise using the Splunk Operator. Master enterprise log management and analytics in Kubernetes environments.

Prerequisites

What You Should Know Before Starting

Essential knowledge for working with Splunk Operator

  • Understanding of Splunk platform concepts
  • Basic knowledge of Kubernetes operators
  • Experience with log management systems
  • Familiarity with data processing pipelines

Learning Topics

Splunk Operator Overview

2-3 hours

Understanding the Splunk Operator and its capabilities

Learning Objectives:

  • Operator Architecture
  • Splunk Components
  • CRD Definitions
  • Configuration Management
  • Log Processing

Splunk Enterprise Deployment

3-4 hours

Deploying Splunk Enterprise using the operator

Learning Objectives:

  • Splunk Enterprise CRD
  • Indexer Clusters
  • Search Heads
  • Deployment Strategies
  • Scaling Configuration

Universal Forwarder

2-3 hours

Configuring and managing Splunk Universal Forwarders

Learning Objectives:

  • Forwarder Configuration
  • Input Management
  • Output Configuration
  • Load Balancing
  • Security Setup

Production Operations

3-4 hours

Managing Splunk in production environments

Learning Objectives:

  • High Availability
  • Backup and Recovery
  • Performance Tuning
  • Security Hardening
  • Monitoring

Key Concepts

Splunk Operator

Kubernetes operator for managing Splunk Enterprise deployments.

  • • Automated Splunk deployment
  • • Configuration management
  • • Scaling and updates
  • • Health monitoring

Splunk Enterprise

Core Splunk platform for log processing and analytics.

  • • Indexer clusters
  • • Search head clusters
  • • Data ingestion
  • • Search and analytics

Universal Forwarder

Lightweight agent for collecting and forwarding data.

  • • Data collection agents
  • • Input configuration
  • • Load balancing
  • • Security and encryption

Production Operations

Production-ready Splunk deployment and management.

  • • High availability setup
  • • Backup and recovery
  • • Performance optimization
  • • Security hardening

Splunk Architecture Components

Indexers

Process and store incoming data for search and analysis.

Data Processing

Search Heads

Provide search interface and coordinate distributed searches.

Search Interface

Universal Forwarders

Lightweight agents that collect and forward data to indexers.

Data Collection

Operators Journey Complete!

Congratulations! You've mastered Kubernetes Operators from basics to advanced implementations. You're now ready to build and deploy operators in production environments.