Objectives

The workshop covers real-world data sets and instructors work with the participants to ingest, search, and visualize them. This includes an Elasticsearch overview, Logstash configuration, creation of dashboards in Kibana, how to process logs, recommended architecture for designing a system to scale, choosing hardware, and managing the life cycle of your logs.

Public

Whether you’re an experienced developer wanting to learn more or just starting with the Elastic Stack, this course will teach you how to successfully install, configure, and optimize your deployment.

Prerequisites

• No prior knowledge of the Elastic Stack is required
• Comfort using the terminal or command line is recommended

Post-Training

Methods

Presentation then lab for each module

Program

Introduction

• Elastic Stack Overview
• Logs and Problems

Logstash

• What and Why
• Installation and Configuration
• Inputs, Filters, and Outputs
• Field References
• Conditionals
• Lab

Elasticsearch

• What and Why
• Terminology: Documents, Index, Shards, Node, Cluster
• Installation and Configuration
• Working with Data
• Time-based Data
• Lab

Kibana

• What and Why
• Settings
• Time Picker, Search, and Filters
• Kibana Discover, Visualization, and Dashboard Interfaces
• Lab

Operation Checklist

• Handling Back Pressure
• Deployment Architectures
• Hardware Best Practices
• Security
• Debugging and Monitoring

Environment

• Laptop with connectivity to Wi-Fi
• Mac, Linux OS, or Windows 7 or later
• A modern web browser
• Java version 1.7u55 or later installed
• At least 20% free disk space

Tags

Elastic Logstash Kibana log