Elasticsearch 8, Kibana, Logstash, Beats: ELK Stack (Udemy.com)
Elasticsearch, Kibana, Logstash, Beats, APM: ELK Stack: querying, visualization, painless, beats and spatial analysis
Created by: Nitin Gujral
Last updated April 2026
What you will learn
- 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.
Course Description
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.
Instructor Details
- 4.6 Rating
1,428 Reviews
Nitin Gujral
Cramlays is a consulting, training, and e-learning firm. Our team comprises experienced software architects, cloud experts, and data engineers with over 18 years of IT industry experience. We have successfully trained more than 20,000 learners worldwide, including professionals from leading organizations such as Walmart and Amazon.
Nitin is a Microsoft Certified Trainer (MCT) with over 20 years of IT experience. He holds more than 20 industry certifications across cloud computing, artificial intelligence, machine learning, databases, and programming, and has delivered training to thousands of professionals globally.
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Reviews
By Michel Remillard on 2/18/2026
What a fantastic course to help me get familiar with the Key Concepts for Elasticsearch. I would highly recommend this course for anybody starting out on their Elasticsearch voyage of discovery. Thank you!
By Kunal Joshi on 12/28/2025
This course is excellent for beginners. The content is very precise and well-explained, making complex topics like Elasticsearch and Kibana easy to understand. A great starting point for anyone looking to learn the ELK stack!
By Angela White on 12/26/2025
Decent, deliberately designed course. The instructor walks through most aspects of the applications with clarity. However, the course either needs to be updated or is straight up missing content. First, the course should include an optional pathway for installing and running ELK using Docker. Or, rather, the non-Docker way should be optional. I understand that the point of this course is not to teach Docker or cURL, but the documentation for ELK leaves virtually no room for using the executables to test the applications for free, so I think it behooves the instructor’s company to make some videos for it in this course or to make and recommend a different path for learning ELK with Docker. Docker is not new, so I am surprised that a course updated in 2024 does not even mention it. It would also be useful to have a lab on incorporating an Elastic cluster into an application run by and fronted by Python or another common data or web dev language. Some people may not have the option of deploying a web-based Kibana dashboard into production, or may need the Elastic features for specific use cases. Again, that path could be optional. The most egregious oversight was the setup of the resources folders, which include the data files with the logstash config files. First of all, the logstash syntax was out of date. Second of all, the data files are not supposed to be in the same folder. One more time, it could be that I’m using Docker and the instructor is not—but if you use Logstash with Docker, it apparently automatically reads every file in the folder you try to mount to your container as a config file. Only after an inordinate amount of time and frustration was my troubleshooting able to ferret this out; the course instructions and files did not set me up for this (and the Logstash documentation did not make this obvious, either). I would think that one of the top recommended Udemy course on ELK would make some mention at least of Docker, and adjust instruction accordingly.
By Gabriel Daabul on 6/25/2025
In logstash I would have liked to get a better thorough tutorials. The labs are great but feels like they lack a lot in complex filtering techniques and the KQL language
By Gustavo Herrera Ramos on 5/12/2025
This course is a great introduction to all of the ELK Stack. You get to understand the use of each tool and learn how to use them. The instructor speaks clearly and gives excellent explanations. I highly recommend this course if you want to understand the ELK Stack in depth.
By Satyam . on 4/3/2025
This course is very effective to learn ELK++ with hands on exercise on actual instance with data. Voice is clear and concise to the point of course component. Very easy to understand and practice. Would recommend anyone beginner or intermediate user to go through this course.
By Winju Mishra Vighnesh on 8/20/2024
I am new to ELK stack, but I feel the course is covering all the basic concepts of ELK to help create a foundation on it, the explanations provided with Lab tasks is very efficiently designed for a newbie like me to understand. Thanks!
By Karl Andersson on 7/24/2024
A very good course covering the capabilities of ELK stack, examples, features and labs. Demos helped me understand the concept better. I am happy to take this course. Can add some quizzes to check the knowledge.
By Andrew Wilhelm on 7/24/2024
Many things in the first few sections are glossed over as though you should already know them, like app-specific UI navigation, meaning of search terms, etc. Especially in the beginning, you are given the direction "go here" where "here" is the last click in a flurry of clicks that are not explained or done at a speed where someone should be expected to follow unless they already understand. Later, search parameters are given but not clarified. it is assumed that search terms are simply understood without any meaningful explaining. I didn't start to feel like things were being properly explained until Section 4. If the goal is to complete a lab by copy pasting so you can move on with your day, this is fine. if the goal is to learn and understand, this is not fine. I will try to update this as I go along because hopefully my opinion improves. but the initial frustration has been off-putting. Originally 2.5 stars, increasing to 4 since the course does improve in later sections.
By Chinar Goel on 4/21/2024
Excellent course - practical, clear, and up-to-date. Your outstanding efforts in explaining concepts of ELK stack are truly commendable. The exercises provided for hands-on learning are invaluable as its critical for full comprehension. I highly recommend this course to anyone looking to master the ELK stack, from students just getting started to professionals looking to sharpen their skills. Thank you immensely for exceptional quality of "The Ultimate Elasticsearch 8, Kibana, Logstash, Beats: ELK" course.
Quality Score
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Overall Score : 92 / 100

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