ELK Stack Training

BY
Mindmajix Technologies

Mode

Online

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based
Frequency of Classes Weekdays, Weekends

Course and certificate fees

certificate availability

Yes

certificate providing authority

Mindmajix Technologies

The syllabus

Introduction

  • What is Elasticsearch?  
  • Terminology in Elasticsearch (Elasticsearch cluster, node, shard and  replicas) Difference between Search Engine and Database 
  • Installation of Elasticsearch standalone node and Kibana 
  • The architecture of Elasticsearch

Elasticsearch CRUD API

  • Creating Index 
  • On the Fly Index Creation 
  • List down the indexes in Elasticsearch 
  • Anatomy of a document 
  • Create a document in Elasticsearch 
  • Searching documents from Elasticsearch 
  • Deleting documents in Elasticsearch 
  • Update documents in Elasticsearch

Advanced CRUD API

  • Handling concurrency in Elasticsearch 
  • Introduction of programming concepts 
  • Connecting the Elasticsearch through using programming interface •
  • Bulk Request 
  • Bulk Indexing 
  • Bulk Retrieval 
  • Strategery followed while using Bulk Indexing

Mapping

  • In-depth analysis of mappings
  • What happens during Indexing?
  • Discussion of transaction logs and Lucene indexing
  • Understanding configuration options, Mappings
  • Dynamic Mapping in Elasticsearch

Searching in Elasticsearch

  • Understanding search Query DSL
  • Aggregations
  • Search and Relevance in Documents
  • Scoring Mechanism
  • Special Query

Building Components of Elasticsearch

  • Master Node
  • Data Node
  • Ingest Node
  • Tribe Node

Exploring the ELK Stack

  • Logstash
  • Beat
  • Kibana

Configuration Management

  • Index Setting
  • Shard Setting
  • Shard Allocation
  • Routing
  • Replication

Production Settings

  • Planning and Configuration Stratergy
  • Best setting to have less downtime
  • Security in ES cluster
  • Improving Indexing and Search Experience

Cluster and Node Maintenance

  • Cluster Management
  • Node Management

Wrap Up Q&A

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