English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 6h 05m | 4.24 GB
Use data from any source, in any format, and search, analyze, and visualize it in real time with reliability and security
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.
This is a very hands-on course with a strong focus on exploring the technology, instead of reading slides. The flow of the course is heavily driven by Kibana views, with a lot of configuration files and command line interactions with Elastic Stack.
What You Will Learn
- Understand Elastic Stack from start to finish and be able to jump right into a real work project.
- Store structured and unstructured data typically found in system events or log files to gain visibility and understanding of your application
- Learn the skills required to instantly search petabytes of data and provide amazing customer interactions
- Build a central log collection system
- Leverage HTTP-based APIs for ElasticSearch insert, query, and configure operations.
- Take advantage of the huge disk space saving capabilities in ES 6
- Utilize new features to visualize Logstash pipelines
Table of Contents
The Course Overview
Overview of a Final Working Solution – This Is What We’re Working Towards
Install and Configure Elasticsearch
Install and Configure Kibana
Enable Monitoring via X-Pack for Elasticsearch and Kibana
Loading Example Data in Elasticsearch
How Do We Store and Group Data – Documents
Specifying Document Attributes – Data Types
Classifying Similar Documents Types
Organizing and Grouping Documents Indexes
Give Me My Data Back – Searches
Kibana Is Huge – Let’s Take It Apart
Configuring Groups of Data for Querying – Index Patterns
Time Range Queries – Slicing and Dicing
Searches – Refining Queries to Find the Needle in the Haystack
Saving and Sharing – Let Your Friends Know What You Found
Logstash – Introduction
Visualizing Pipelines in Kibana
Process Documents with Filters
Get Data into Logstash as a Server
Working with Beats
Outputs – Where Else Can Data Go
Impress Your Boss with Charts and Graphs
Building a Heads Up Dashboard
Sharing Dashboards Recap
Use Kibana to Monitor the Health of Your Elastic Stack
Security – Provide Authentication and Authorization to Kibana
Graph – Use the Built in Graph Interface to Pivot Around Data
Machine Learning Is Hot, See How Elastic Facilitate0073
Application Perfromance Monitoring – APM
Application Performance Monitoring – APM (Continued)
Timelion – Time Series
Indexes, Shards, and Replicas
Adding Elasticsearch Nodes to increase query and indexing performance
Use Master Nodes to control the cluster
Master and Data Nodes – Sizing Your Cluster
SaaS offerings of Elasticsearch at AWS and Elastic Cloud
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