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Ultimate Elasticsearch 8, Kibana, Logstash, Beats

ELK Stack

Cramlays, Nitin Gujral

Kindly note: All recorded demos are on Windows only.

Dive into the world of data search and visualization with our comprehensive course on Elasticsearch and Kibana. This course is designed to guide you through the basics to advanced concepts, ensuring a solid foundation in understanding how to effectively utilize Elasticsearch as a powerful search and analytics engine, alongside Kibana for insightful data visualization.

Read more

Kindly note: All recorded demos are on Windows only.

Dive into the world of data search and visualization with our comprehensive course on Elasticsearch and Kibana. This course is designed to guide you through the basics to advanced concepts, ensuring a solid foundation in understanding how to effectively utilize Elasticsearch as a powerful search and analytics engine, alongside Kibana for insightful data visualization.

You'll learn about Elasticsearch's architecture, including its distributed nature and how it achieves scalability and resilience. We'll cover everything from setting up Elasticsearch and Kibana, performing basic to complex queries, creating interactive dashboards, painless script, spatial queries, performance optimization and implementing security measures to protect your data. By the end of this course, you will have hands-on experience in leveraging the ELK stack for real-time data analysis and visualization, preparing you to tackle real-world data challenges.

Whether you're a data enthusiast, a budding analyst, or a seasoned IT professional, this course will equip you with the knowledge and skills needed to transform data into actionable insights, making it an indispensable tool in your data toolkit.

Additionally, with the inclusion of Logstash, you'll master data ingestion, further enhancing your ability to handle complex data pipelines for comprehensive analysis and visualization. This all-encompassing approach ensures a deep understanding of how to gather, analyze, and visualize data effectively, making you proficient in the ELK stack.

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What's inside

Learning objectives

  • Understand elk stack roles, focusing on architecture and data scalability.
  • Master indexing, complex searches, and real-time analytics.
  • Build interactive dashboards and visualizations in kibana.
  • Implement secure, scalable setups and optimize performance.

Syllabus

Introduction to Elasticsearch and Kibana
Course Introduction
Definition of Elasticsearch and Kibana
Overview of their roles in the ELK (Elasticsearch, Logstash, Kibana)
Read more
Lab: Setting Up Elasticsearch on a Windows Machine
Lab: Setting Up Kibana on Windows & High-Level Initial Overview of the Kibana
Setting Up Elasticsearch on macOS and Linux
Setting Up Kibana on macOS and Linux
Download resources for all hands-on/lab exercises
Elasticsearch: Features and Architectural Components
Key Features of Elasticsearch and Its Practical Applications
More Details on Applications of Elasticsearch and Kibana in the Real World
Elasticsearch Stores Data as JSON
Architectural Components Part 1: What is Index?
Architectural Components Part 2: Shard and Replica
Lab: Creating, Reading, and Updating an Index
What is doc type in Elasticsearch? (Optional)
Logstash - Setup, Ingest & Transform Data, Plugins, Grok Pattern
Lab: Setting Up Logstash on a Windows Machine
Lab: Setup Logstash on macOS and Linux
How Does Logstash Work?
Lab: Uploading Data to Elasticsearch Using Logstash
Notes: Uploading Data to Elasticsearch Using Logstash
Lab: Elasticsearch Shards, Replicas & Health Statuses - Green, Yellow, Red
Lab: Exploring Subfolders and Configuration Files in Elasticsearch
Lab: Logstash Plugins (Input, Filter, Output) and Grok Patterns
Lab: Understanding Grok Pattern- Part 2 (Optional)
Querying in Elasticsearch
Query DSL (Domain-Specific Language)
Range, Term, and Match Queries
How Search Scores Are Calculated in Elasticsearch (Optional)
Lab: Basic Queries - Match, Range, Boolean
Boolean Query - must, must_not, should, filter
Lab: Boolean Query - must, must_not, should, filter
Lab: Fuzzy Query
Lab: Sorting Queries
Aggregations for Data Analysis
Lab: Metric Aggregation
Lab: Size parameter
Lab: Bucket and Metric Aggregation
Data Visualization in Kibana
Lab: Configuring Kibana for Visualization and the Discover Tab
Lab: Pie Charts, Bar Charts, and Dashboards
Lab: Lens
Lab: Canvas
Analyzers and Mapping in Elasticsearch
What are Analyzers and Inverted Index?
Lab: Analyzers in Elasticsearch
Lab: Custom Analyzers (Optional)
Lab: N-gram Tokenizer (Optional)
Lab: Mapping in Elasticsearch
Beats - Filebeat, Winlogbeat
Beats - Filebeat, Metricbeat, Auditbeat
Lab: Ingest Data Using Filebeat
Lab: Filebeat, Logstash, Elasticsearch Integration
Lab: Setting Up Winlogbeat and Integrating with Elasticsearch
Spatial Queries and GeoMap
Lab: How to Prepare Geodata and Run Spatial Queries
Lab: Visualize Spatial Data on a Geographic Map
Lab: Bounding Box Spatial Query
Miscellaneous Topics
Lab: ELK Stack End-to-End Use Case
Master Node-Data Node
Elasticsearch Vs OpenSearch
Lab: Bulk Indexing
Bonus Lecture: Multi-Head Plugin
Application Performance Monitoring (APM) with Elastic Stack
How Elastic APM works
Lab: APM Setup and Integration with Elastic Stack - Part 1
Lab: APM Setup and Integration with Elastic Stack - Part 2
Lab: APM Setup and Integration with Elastic Stack - Part 3
APM Lab -Troubleshooting tips
Advanced Topics- Security, Painless, Performance
Lab: Security - Enabling Authentication in Elasticsearch and Kibana
Lab: Security - Understanding Spaces, Users, and Roles in Kibana
Painless Script
Lab: How to Write a Painless Script in a Query
Lab: How to Create a Scripted Field in Kibana Using Painless Script
Performance Optimization: Indexing and Searching
How to Determine the Right Number of Replicas (Optional)
Tips - Hardware Sizing
Conclusion
Congratulations and Thankyou!

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers the ELK stack, which is widely used for log management, security information and event management (SIEM), and application performance monitoring (APM)
Includes hands-on labs for setting up Elasticsearch, Kibana, and Logstash on Windows, macOS, and Linux, which allows learners to practice on their preferred OS
Explores spatial queries and GeoMap visualizations, which are useful for analyzing location-based data and creating insightful geographic representations
Recorded demos are on Windows only, which may require macOS and Linux users to adapt instructions to their operating systems
Includes optional lectures on advanced topics like analyzers and N-gram tokenizers, which may require additional research for learners without a background in linguistics
Teaches Elasticsearch 8, which may be incompatible with older systems and tools, and may require learners to upgrade their existing infrastructure

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Save Ultimate Elasticsearch 8, Kibana, Logstash, Beats: ELK Stack to your list so you can find it easily later:
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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Ultimate Elasticsearch 8, Kibana, Logstash, Beats: ELK Stack with these activities:
Review JSON Data Structures
Familiarize yourself with JSON data structures to better understand how Elasticsearch stores and retrieves data.
Browse courses on JSON
Show steps
  • Read about JSON syntax and data types.
  • Practice creating and parsing JSON objects.
  • Explore online JSON validators and formatters.
Read 'Elasticsearch: The Definitive Guide'
Deepen your understanding of Elasticsearch concepts and best practices by reading this definitive guide.
View Elasticsearch: The Definitive Guide: A... on Amazon
Show steps
  • Read the chapters on indexing and querying.
  • Experiment with the examples provided in the book.
  • Compare the book's content with the course material.
Practice Elasticsearch Queries
Reinforce your understanding of Elasticsearch queries by practicing different types of queries.
Show steps
  • Set up a local Elasticsearch instance with sample data.
  • Practice writing match, range, and boolean queries.
  • Experiment with aggregations and sorting.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read 'Kibana 7 Quick Start Guide'
Get hands-on experience with Kibana by following the examples in this quick start guide.
View Putting Knowledge to Work on Amazon
Show steps
  • Follow the instructions to create basic visualizations.
  • Experiment with different chart types and settings.
  • Build a simple dashboard to monitor key metrics.
Create a Blog Post on ELK Stack Use Cases
Solidify your knowledge by researching and writing about real-world use cases of the ELK stack.
Show steps
  • Research different ELK stack use cases.
  • Choose a specific use case to focus on.
  • Write a blog post explaining the use case and its benefits.
  • Publish the blog post on a personal blog or platform.
Build a Log Analysis Dashboard
Apply your knowledge by building a log analysis dashboard using the ELK stack.
Show steps
  • Collect log data from a sample application or system.
  • Configure Logstash to ingest and transform the data.
  • Index the data into Elasticsearch.
  • Create visualizations and dashboards in Kibana.
Contribute to the ELK Stack Documentation
Deepen your understanding and contribute to the community by improving the ELK stack documentation.
Show steps
  • Identify areas in the documentation that need improvement.
  • Fork the relevant repository on GitHub.
  • Make the necessary changes and submit a pull request.

Career center

Learners who complete Ultimate Elasticsearch 8, Kibana, Logstash, Beats: ELK Stack will develop knowledge and skills that may be useful to these careers:
Log Management Specialist
A log management specialist manages and analyzes log data generated by various systems and applications. This role requires expertise in log aggregation, parsing, and analysis tools. This course is highly relevant for a log management specialist, as it covers the ELK stack, which is specifically designed for log management. The course covers setting up Logstash for data ingestion, Elasticsearch for storage and querying, and Kibana for visualization, all of which are core to a log management specialist's work. The course also includes practical exercises in setting up and using the ELK stack for real-world log management scenarios. Those wishing to become log management specialists should find this course valuable.
See salaries and explore the career path for Log Management Specialist
Data Analyst
A data analyst examines raw data, identifies trends, and creates reports to help businesses make informed decisions. This role often involves working with large datasets and using tools to visualize data. This course provides the foundation for a data analyst, teaching how to use Elasticsearch for data searching and analysis. This includes writing complex queries, creating interactive dashboards, and visualizing data, which are critical skills for a data analyst. One who wishes to become a data analyst should take this course to become familiar with the ELK stack for real-time data analysis and visualization. The course also covers Logstash, a key tool for data ingestion, which enhances the ability to work with complex data pipelines.
See salaries and explore the career path for Data Analyst
Data Engineer
A data engineer builds and maintains the infrastructure required for data processing and storage. This role includes setting up data pipelines, ensuring scalability, and optimizing data flow. This course helps to build a foundation for a data engineer, with its coverage of the ELK stack. The course covers setting up Elasticsearch, Logstash, and Kibana, all of which are key tools for data ingestion, storage, and analysis. The course also provides hands-on experience in building scalable data systems and working with data pipelines, which are important aspects of the data engineer role. Those who plan to become data engineers should find this course beneficial as a direct introduction to Elasticsearch, a common tool in a data engineer's toolkit.
See salaries and explore the career path for Data Engineer
Data Visualization Specialist
A data visualization specialist focuses on creating visual representations of data. This role includes developing dashboards, reports, and other interactive tools to communicate insights. The content of this course is directly aligned with the responsibilities of a data visualization specialist because this course provides instruction in how to use Kibana to create dashboards and reports. The course covers creating visualizations such as pie charts, bar charts, and interactive maps. This course helps a data visualization specialist by providing hands-on experience in data analysis and real-time visualization with the ELK stack.
See salaries and explore the career path for Data Visualization Specialist
Business Intelligence Analyst
A business intelligence analyst uses data to help organizations make better business decisions. This role involves analyzing data, creating reports, and developing dashboards. This course helps build a foundation for business intelligence analysts; it teaches data visualization and real time data analysis using the ELK stack. The course covers building interactive dashboards, performing complex queries, and using Kibana to visualize data, all of which are essential to the work of a business intelligence analyst. Taking this course will expose a business intelligence analyst to a different method for data analysis and visualization, which can be directly applied to a daily workflow.
See salaries and explore the career path for Business Intelligence Analyst
DevOps Engineer
A DevOps engineer automates and streamlines the software development and deployment process. This role requires a strong understanding of infrastructure and tools for managing applications and data. Those who wish to pursue DevOps engineering should find this course valuable, as it introduces Elasticsearch, Logstash, and Kibana, which are used to monitor and manage application and system data. The course also includes security configurations and performance optimization, which are key aspects of the DevOps role. This course provides hands-on experience with the ELK stack, a common element in the DevOps toolkit.
See salaries and explore the career path for DevOps Engineer
Infrastructure Engineer
An infrastructure engineer builds and maintains the underlying systems and networks that support applications. This role requires a deep understanding of infrastructure technologies. This course helps infrastructure engineers gain an understanding of how systems may be monitored. The course covers setting up Elasticsearch, Logstash, and Kibana, which are used to monitor system performance and logs. The course material also includes performance optimization and security measures, which are directly relevant for infrastructure engineers. This course may be helpful to an infrastructure engineer, as it presents important tools and techniques for monitoring and maintaining infrastructure.
See salaries and explore the career path for Infrastructure Engineer
Security Analyst
A security analyst monitors and protects systems and networks from threats. This role requires a strong understanding of security tools and techniques. The skills of a security analyst can be enhanced by this course, which includes security measures in the ELK stack such as enabling authentication, understanding roles and spaces, and performance optimization for security applications. The course may help a security analyst, as it shows how to set up secure and scalable systems using the ELK stack. The course provides hands-on experience in implementing security measures, thus directly addressing the needs of a security analyst.
See salaries and explore the career path for Security Analyst
Search Engineer
A search engineer designs, builds, and maintains search systems. This role includes optimizing search algorithms and improving the relevance of search results. Search engineers require an understanding of how search engines work. This course directly addresses this requirement by teaching Elasticsearch, which is a powerful search and analytics engine. The course covers Elasticsearch’s architecture, indexing, query writing, and performance optimization, all of which are highly relevant for a search engineer. This course may be helpful to build a foundation for a search engineer, as it provides a hands-on approach to leveraging the ELK stack and provides experience in tackling real-world data search challenges.
See salaries and explore the career path for Search Engineer
Database Administrator
A database administrator manages and maintains databases. This role requires a deep understanding of database architecture, performance tuning, and data security. This course introduces an important type of database used for modern search applications, Elasticsearch. The course also covers topics such as data indexing, querying, and security measures in Elasticsearch, which are applicable to the role of a database administrator. This course may be useful to a database administrator, as it explores different aspects of the ELK stack, and shows how they may be used in a novel application.
See salaries and explore the career path for Database Administrator
Application Support Analyst
An application support analyst provides technical support for software applications. This role includes troubleshooting issues, monitoring performance, and ensuring system availability. This course introduces the ELK stack which can be leveraged to monitor applications. The course covers setting up Elasticsearch, Logstash, and Kibana, which is directly relevant for application support analysts who need to analyze log data and application performance. The course may be useful to an application support analyst, as it explores an important monitoring tool and develops skills in analyzing real-time data.
See salaries and explore the career path for Application Support Analyst
System Administrator
A system administrator manages and maintains computer systems and networks. This role includes optimizing performance, ensuring security, and troubleshooting issues. This course may be useful to a system administrator by teaching how to set up and manage Elasticsearch and Kibana, key components for monitoring and analyzing system data. The course also covers the security features of Elasticsearch, performance optimization, and scalability, all of which are important for system administrators. This course introduces the ELK stack as a system monitoring tool, with hands on experience setting up these tools on multiple operating systems.
See salaries and explore the career path for System Administrator
Cloud Solutions Architect
A cloud solutions architect designs and implements cloud-based solutions for organizations. This role requires a broad understanding of cloud technologies and how to integrate them. The ELK stack is often deployed in cloud environments, and this course provides useful practical experience for a cloud solutions architect. The course covers the setup, configuration, and management of the ELK stack, including security measures and performance optimization, all of which are important in cloud deployments. This course may be useful, as it adds to the skill set of a cloud solutions architect, and provides direct exposure to an important technology.
See salaries and explore the career path for Cloud Solutions Architect
Software Developer
A software developer writes and maintains code for various applications and systems. This role requires a strong understanding of programming languages and development tools. This course may be useful to a software developer as it introduces the ELK stack, which can be used to monitor and analyze application logs and performance. The course covers setting up Elasticsearch, Logstash, and Kibana, and creating interactive dashboards. This is directly relevant for software developers looking to gain visibility into their applications’ performance. The course also covers real-time data analysis techniques.
See salaries and explore the career path for Software Developer
IT Consultant
An IT consultant advises organizations on how to best use technology to achieve their goals. This role requires a broad understanding of various technologies and their applications. This course may be useful to an IT consultant by introducing them to the ELK stack, a powerful tool for data analysis and visualization. The course covers the setup, configuration, and management of Elasticsearch, Logstash, and Kibana, providing a solid foundation for IT consultants to recommend and implement these solutions for their clients. This course could be helpful by expanding the consultant's skill set, and enhancing their ability to provide data-driven solutions.
See salaries and explore the career path for IT Consultant

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Ultimate Elasticsearch 8, Kibana, Logstash, Beats: ELK Stack.
Cover image
Elasticsearch: The Definitive Guide
Save
Provides a comprehensive overview of Elasticsearch, covering everything from basic concepts to advanced features. It serves as an excellent reference for understanding the underlying principles and best practices for using Elasticsearch effectively. It is particularly useful for gaining a deeper understanding of indexing, querying, and data analysis within Elasticsearch, complementing the course material.
Elasticsearch: The Definitive Guide: A Distributed...
Paperback
$$
Elasticsearch: The Definitive Guide: A Distributed...
Kindle Edition
$$
Cover image
Putting Knowledge to Work
Save
Offers a practical introduction to Kibana, focusing on data visualization and dashboard creation. It provides step-by-step instructions and examples for building interactive dashboards and exploring data using Kibana's features. While not as comprehensive as other resources, it serves as a valuable quick reference for getting started with Kibana and creating effective visualizations.
Putting Knowledge to Work
Paperback
Check
Putting Knowledge to Work
Kindle Edition
Check

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Effort
3 total hours
Via
Udemy
Instructor
Cramlays, Nitin Gujral
Language
English
Good to know
Covers the ELK stack, which is widely used for log management, security information and event management (SIEM), and application performance monitoring (APM)
Includes hands-on labs for setting up Elasticsearch, Kibana, and Logstash on Windows, macOS, and Linux, which allows learners to practice on their preferred OS
Explores spatial queries and GeoMap visualizations, which are useful for analyzing location-based data and creating insightful geographic representations
Recorded demos are on Windows only, which may require macOS and Linux users to adapt instructions to their operating systems
Includes optional lectures on advanced topics like analyzers and N-gram tokenizers, which may require additional research for learners without a background in linguistics
Teaches Elasticsearch 8, which may be incompatible with older systems and tools, and may require learners to upgrade their existing infrastructure
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