Class Details

Price: $1,950

3-Day Course Includes:

  • Hands-on exercises in addition to training instruction
  • Courseware books, notepads, pens, highlighters and other materials
  • Full breakfast with variety of bagels, fruits, yogurt, doughnuts and juice
  • Tea, coffee, and soda available throughout the day
  • Freshly baked cookies every afternoon - *only at participating locations

 

Course Outline

Module 1: Introducing Elastic Stack

  • What is Elasticsearch, and why use it?
  • Exploring the components of Elastic Stack
  • Use Cases of Elastic Stack
  • Downloading and Installing

Module 2: Getting Started with Elasticsearch

  • Using the Kibana Console UI
  • Core Concepts
  • CRUD operations
  • Creating indexes and taking control of mapping
  • REST API Overview

Module 3: Searching -- What is Relevant

  • Basics of text analysis
  • Searching from structured data
  • Searching from full text
  • Writing compound queries

Module 4: Analytics with Elasticsearch

  • The basics of aggregations
  • Preparing data for analysis
  • Metric aggregations
  • Bucket aggretations
  • Pipeline aggregations

Module 5: Analyzing Log Data

  • Log analysis challenges
  • Logstash architecture
  • Overview of Logstash plugins
  • Ingest node

Module 6: Building Data Pipelines with Logstash

  • Parsing and enriching logs using Logstash
  • Instoducing Beats
  • Filebeat

Module 7: Visualizing data with Kibana

  • Downloading and installing Kibana
  • Data Preparation
  • Kibana UI
  • Timelion
  • Using plugins

Module 8: Elastic X-Pack

  • Installing X-Pack
  • Configuring X-Pack
  • Security
  • Monitoring Elasticsearch
  • Alerting

Module 9: Running Elastic Stack in Production

  • Hosting Elastic Stack on a managed cloud
  • Hosting Elastic Stack on your Own
  • Backing Up and restoring
  • Setting up index templates
  • Modeling time series data

Module 10: Building a Sensor Data Analytics Application

  • Introduction to the application
  • Modeling data in Elasticsearch
  • Setting Up the Metadata database
  • Building the Logstash data pipeline
  • Sending data to Logstash over HTTP
  • Visualizing the data in Kibana

Module 11: Monitoring Server Infrastructure

  • Metricbeat
  • Configuring Metricbeat
  • Capturing system metrics