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The ELK Stack (Elasticsearch, Logstash, and Kibana) is the most popular open source log analysis platform. ELK is quickly overtaking existing proprietary solutions and has become the first choice for companies shipping for log analysis and management solutions

Intended Audience

Systems Administrators


Solutions Architect

Release Engineers

Cloud Professionals

Software Developers, especially those in a Developer Operations (DevOps) role


Background in either software development or systems administration

Some experience with maintaining operating systems at the command line (shell scripting in Linux environments, cmd or PowerShell in Windows)

Basic knowledge of networking protocols (TCP/IP, HTTP)

Instructor-led Sessions

There will be 16 hours of instructor led Interactive classes and you will also get access to course content and video recordings

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various DevOps tools.


Each class will be followed by practical assignments which will aggregate to minimum 24 hours.

24 x 7 Expert Support

We have 24x7 online support team available to help you with any technical queries you may have during the course.


Towards the end of the course, you will be working on a project. Zippyops certifies you as a ELK Expert based on the project.


All the instructors at zippyops are practitioners from the Industry with minimum 10-12 yrs of experience and minimum of 750 hours of training experiance


Delivery Method

Mode Of training:

This course will be delivered through a mix of:
Instructor-Led Training (ILT)
Hands-on Labs.

16 Hours (weekday or weekends)

Contact us for the next avaliable schedule

Course Curiculam

Introduction to ElasticSearch

Introduction to ElasticSearch
ElasticSearch Architecture and Components
Installation (windows), configuration and hardware Monitoring using plugins (at end)

Elasticsearch Adminstration

Understanding Elasticsearch Index, Type, Document, Node, cluster, shards, and replicas
Mappings and Data types(Simple and custom field types) in Elasticsearch
Text Analysis using Analyzer, Tokenizer and Filters Index, Update and Delete documents
Queries and Filters
Aggregations, Pagin, Relations, Scripting
Logging and Auditing data

ElasticSearch-Data Management

create, read, update and delete operations
Documents (building blocks of Elasticsearch)
Documents Searching, Sorting, Indexing and Fetching
deleting documents by ID from Elasticsearch
Update Documents in (Partial and full) Elasticsearch
Bulk requests to Elasticsearch for faster create, update and delete operations

ElasticSearch-Analysis and Sording

Default Analyzers (Standard,Simple,Whitespace,Stop,Keyword,Pattern,Language,Snowball)
Understand Query Results, Strings, DSL
combining queries and filters
pagination of your data
Sorting (Exact Values / Full Text)
Learning Syntax


Overview of Logstash
Transport and processing inputs, filters, and outputs
Events: Structure and options
Hands-on lab with a use case of any log data present as CSV

Introduction to Kibana

Introduction to Kibana and Apache logs (Understanding Event Data)
Installing and configuring kibana with elasticsearch
Kibana 4 terminology

Kibana filters and Dashboard

Understanding using queries, single and multiquery
Search criteria and filters
Elasticsearch aggregation
Kibana index setup for analysis
Kibana Discover interface
Kibana Visualization interface
Visualization of each type of graph present in kibana such as Pie Chart, Bar Graph, Line Graph, Geolocation graph, Metrics graph etc
Constructing Simple & Complex Visualizations using dashboard



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J.Nagar, Panaiyur Kuppam Road
(Beside MGR Statue)
Chennai -600119 

Phone: +91 7010585768
              +91 8903067727