Mastering ElasticSearch 6.x and the Elastic Stack

Video description

Use data from any source, in any format, and search, analyze, and visualize it in real time with reliability and security

About This Video

  • Master using the Elastic Stack through hands-on activities with Beats, Logstash, ElasticSearch, and Kibana
  • Master Elastic Stack 6.x's helpful new features and take advantage of the huge disk space saving capabilities
  • Delve into Kibana for data searches, analysis, and system monitoring, leveraging the built-in components of X-Pack and the rest of the Elastic Stack

In Detail

Elastic Stack is powered by the most popular open source search engine, ElasticSearch, currently used throughout the world by Fortune 500 companies such as Sprint and Dell and small startups who leverage the power and scalability of the Elastic Stack, without having to pay a fortune in licensing or professional services hours.

Getting ElasticSearch up and running is fairly straightforward, but fully understanding how to use the whole stack, from start to finish, is a rather daunting task. This course will focus on two major use cases with ElasticSearch. The first is leveraging the powerful full-text search engine ElasticSearch is built on, allowing developers to add blazingly fast search features to applications. The second is leveraging different components of the Elastic Stack to continuously monitor applications, infrastructure, or even customer transactions.

Throughout the course, students will go from a beginner to a master of Elastic Stack, via hands-on examples using real data.

All the code and supporting materials for this course will be available at -

Publisher resources

Download Example Code

Table of contents

  1. Chapter 1 : First Steps with Elasticsearch and Kibana
    1. The Course Overview 00:06:01
    2. Overview of a Final Working Solution – This Is What We're Working Towards 00:07:30
    3. Install and Configure Elasticsearch 00:06:47
    4. Install and Configure Kibana 00:04:14
    5. Enable Monitoring via X-Pack for Elasticsearch and Kibana 00:07:46
    6. Loading Example Data in Elasticsearch 00:13:36
  2. Chapter 2 : Getting Deeper with Elasticsearch
    1. How Do We Store and Group Data – Documents 00:13:28
    2. Specifying Document Attributes – Data Types 00:09:41
    3. Classifying Similar Documents Types 00:05:06
    4. Organizing and Grouping Documents Indexes 00:13:58
    5. Give Me My Data Back – Searches 00:14:53
  3. Chapter 3 : Kibana Deep Dive
    1. Kibana Is Huge – Let’s Take It Apart 00:04:04
    2. Configuring Groups of Data for Querying – Index Patterns 00:11:37
    3. Time Range Queries – Slicing and Dicing 00:09:31
    4. Searches – Refining Queries to Find the Needle in the Haystack 00:12:56
    5. Saving and Sharing – Let Your Friends Know What You Found 00:10:50
  4. Chapter 4 : Data Flow with Logstash and Beats
    1. Logstash – Introduction 00:09:00
    2. Visualizing Pipelines in Kibana 00:08:59
    3. Process Documents with Filters 00:14:52
    4. Get Data into Logstash as a Server 00:15:02
    5. Working with Beats 00:13:53
    6. Outputs – Where Else Can Data Go 00:12:50
  5. Chapter 5 : Kibana Visualizations and Dashboards
    1. Impress Your Boss with Charts and Graphs 00:18:13
    2. Building a Heads Up Dashboard 00:10:46
    3. Sharing Dashboards Recap 00:06:35
    4. Use Kibana to Monitor the Health of Your Elastic Stack 00:11:01
  6. Chapter 6 : Exploring X-Pack
    1. Security – Provide Authentication and Authorization to Kibana 00:09:52
    2. Graph – Use the Built in Graph Interface to Pivot Around Data 00:05:37
    3. Machine Learning Is Hot, See How Elastic Facilitate0073 00:09:37
    4. Application Perfromance Monitoring – APM 00:12:03
    5. Application Performance Monitoring – APM (Continued) 00:05:05
    6. Timelion – Time Series 00:09:04
  7. Chapter 7 : Scaling Elasticsearch
    1. Indexes, Shards, and Replicas 00:08:39
    2. Adding Elasticsearch Nodes to increase query and indexing performance 00:12:44
    3. Use Master Nodes to control the cluster 00:02:56
    4. Master and Data Nodes – Sizing Your Cluster 00:05:22
    5. SaaS offerings of Elasticsearch at AWS and Elastic Cloud 00:11:28

Product information

  • Title: Mastering ElasticSearch 6.x and the Elastic Stack
  • Author(s): Chris Fauerbach
  • Release date: June 2018
  • Publisher(s): Packt Publishing
  • ISBN: 9781788991155