We may earn an affiliate commission when you visit our partners.
Ahmed Souidan
Read more
This course is no longer available. Find something similar by browsing:
Elastic Stack Logstash Elastic Search Kibana Log Files

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops skills in identifying and visualizing logs, which is a core skill for Devops engineers
Introduces learners to Elastic Stack, a popular toolset for log management and visualization
Provides hands-on experience with log collection, processing, storage, and visualization
Teaches the basics of log analysis and visualization, which are essential for troubleshooting and performance monitoring
Requires learners to have some prior knowledge of log management and visualization techniques
May not be suitable for learners with no experience in log management or visualization

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Beginner-friendly log visualization

This 1-hour project-based course is designed for beginners who want to learn how to identify and visualize log files using Elastic Stack. The course covers the basics of log file identification and structuring, as well as how to read, process, ship, query, and visualize log lines using Logstash, Elastic Search, and Kibana. Overall, this beginner-friendly course provides a good introduction to log visualization for DevOps engineers, especially those based in North America.
Hands-on experience with Elastic Stack
"the learner will get to have a hand on experience with Elastic Stack and its features"
Good for beginners
"Good guided project for beginners"
Outdated content
"Could be enriched with more up-tp-date and thorough content"
Cloud desktop issues
"the cloud desktop was getting hanged alot"

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 Processing and Visualizing Logs With Elastic Stack with these activities:
Practice Logstash syntax and commands
Practice working with Logstash through exercises and drills to solidify your knowledge and build your muscle memory for Logstash syntax and commands once the course begins.
Browse courses on Logstash
Show steps
  • Find a set of practice exercises or create your own
  • Work through the exercises, focusing on accuracy and speed
  • Review your answers and identify areas for improvement
Identify and Structure Log Files Using Logstash
Practice identifying and structuring log files using Logstash to improve your understanding of the process.
Show steps
  • Gather sample log files from a variety of sources.
  • Install and configure Logstash.
  • Use Logstash to identify and extract fields from the log files.
  • Create a pipeline in Logstash to filter and transform the log data.
  • Test your pipeline and ensure that it is working correctly.
ELK Stack Workshop
Attend an ELK Stack workshop to gain hands-on experience with the platform.
Show steps
  • Find an ELK Stack workshop in your area.
  • Register for the workshop.
  • Attend the workshop and actively participate.
  • Apply the skills you learned in the workshop to your own projects.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Compile a library of resources
Compile documentation, notes, exercises, and more into a single, easy-to-access location that you can return to once the course has concluded to reinforce what you will learn in this course.
Browse courses on DevOps
Show steps
  • Gather relevant materials from the course
  • Create an organizational structure for your compilation
  • Add additional materials such as external links to websites, articles, or videos
Elasticsearch Cheat Sheet
Review the key concepts of Elasticsearch to enhance your understanding of the platform.
Show steps
  • Find an online Elasticsearch cheat sheet.
  • Review the cheat sheet and familiarize yourself with the syntax and commands.
  • Practice using the cheat sheet to perform basic Elasticsearch operations.
Logstash and Elasticsearch Reading Group
Join a peer session to discuss and explore the concepts of Logstash and Elasticsearch.
Show steps
  • Find a peer session or study group focused on Logstash and Elasticsearch.
  • Attend the session regularly and participate in discussions.
  • Share your knowledge and insights with others in the group.
Visualize Your Logs Using Kibana Dashboard
Create a Kibana dashboard to visualize your logs and gain insights into your data.
Show steps
  • Gather and prepare your log data.
  • Install and configure Kibana.
  • Create a new dashboard in Kibana.
  • Add visualizations to your dashboard.
  • Configure and customize your dashboard.
Elasticsearch: The Definitive Guide
Read this comprehensive guide to Elasticsearch to deepen your understanding of the platform and its capabilities.
Show steps
  • Purchase or borrow a copy of the book.
  • Read the book and take notes.
  • Complete the exercises and examples provided in the book.
  • Apply your new knowledge to your own Elasticsearch projects.
Contribute to the Logstash Open Source Project
Contribute to the Logstash open source project to gain practical experience and enhance your understanding of the platform.
Show steps
  • Find a way to contribute to the Logstash project.
  • Submit a pull request to the Logstash repository.
  • Collaborate with other contributors to improve the Logstash project.
Review Linux Command Line Basics
Refresh your knowledge of Linux command line basics to ensure you have a strong foundation.
Browse courses on Linux
Show steps
  • Review online tutorials or documentation on Linux command line basics.
  • Practice using the command line in a sandbox environment.

Career center

Learners who complete Processing and Visualizing Logs With Elastic Stack will develop knowledge and skills that may be useful to these careers:
Log Analyst
A Log Analyst is responsible for collecting, analyzing, and interpreting log data to identify patterns and trends. They may also be responsible for developing and implementing log management solutions. This course can help someone looking to work in this role by providing them with the skills they need to read, process, and store log data.
Information Security Analyst
An Information Security Analyst is responsible for identifying, assessing, and mitigating security risks. They typically work in teams that combine software development and IT operations to create efficient software delivery processes. This course may be useful for someone in this field because it will help them understand how to identify and structure log files, read log files in Logstash, and process log lines in Logstash.
DevOps Engineer
A DevOps Engineer is a software engineer focused on maintaining and improving software. They typically work in teams that combine software development and IT operations to create efficient software delivery processes. This course may be useful for someone in this field because it will help them understand how to identify and structure log files, read log files in Logstash, process log lines in Logstash, and ship log lines to Elastic Search.
Data Scientist
A Data Scientist is responsible for collecting, analyzing, and interpreting data to identify patterns and trends. They may also be responsible for developing and implementing data science solutions. This course may be useful for someone in this field because it will help them understand how to identify and structure log files, read log files in Logstash, and process log lines in Logstash.
Site Reliability Engineer
A Site Reliability Engineer is responsible for ensuring the reliability and performance of software systems. They typically work in teams that combine software development and IT operations to create efficient software delivery processes. This course may be useful for someone in this field because it will help them understand how to identify and structure log files, read log files in Logstash, and process log lines in Logstash.
Cloud Engineer
A Cloud Engineer is responsible for designing, building, and maintaining cloud-based systems. They typically work in teams that combine software development and IT operations to create efficient software delivery processes. This course may be useful for someone in this field because it will help them understand how to identify and structure log files, read log files in Logstash, and process log lines in Logstash.
Data Engineer
A Data Engineer is responsible for developing and maintaining data pipelines. They typically work in teams that combine software development and IT operations to create efficient software delivery processes. This course may be useful for someone in this field because it will help them understand how to identify and structure log files, read log files in Logstash, and process log lines in Logstash.
Network Engineer
A Network Engineer is responsible for designing, building, and maintaining computer networks. They typically work in teams that combine software development and IT operations to create efficient software delivery processes. This course may be useful for someone in this field because it will help them understand how to identify and structure log files, read log files in Logstash, and process log lines in Logstash.
Security Engineer
A Security Engineer is responsible for designing, building, and maintaining security systems. They typically work in teams that combine software development and IT operations to create efficient software delivery processes. This course may be useful for someone in this field because it will help them understand how to identify and structure log files, read log files in Logstash, and process log lines in Logstash.
Database Administrator
A Database Administrator is responsible for designing, building, and maintaining databases. They typically work in teams that combine software development and IT operations to create efficient software delivery processes. This course may be useful for someone in this field because it will help them understand how to identify and structure log files, read log files in Logstash, and process log lines in Logstash.
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. They typically work in teams that combine software development and IT operations to create efficient software delivery processes. This course may be useful for someone in this field because it will help them understand how to identify and structure log files, read log files in Logstash, and process log lines in Logstash.
Product Manager
A Product Manager is responsible for planning, developing, and launching new products. They typically work in teams that combine software development and IT operations to create efficient software delivery processes. This course may be useful for someone in this field because it will help them understand how to identify and structure log files, read log files in Logstash, and process log lines in Logstash.
Project Manager
A Project Manager is responsible for planning, organizing, and executing projects. They typically work in teams that combine software development and IT operations to create efficient software delivery processes. This course may be useful for someone in this field because it will help them understand how to identify and structure log files, read log files in Logstash, and process log lines in Logstash.
Technical Writer
A Technical Writer is responsible for creating and maintaining technical documentation. They typically work in teams that combine software development and IT operations to create efficient software delivery processes. This course may be useful for someone in this field because it will help them understand how to identify and structure log files, read log files in Logstash, and process log lines in Logstash.
Software Tester
A Software Tester is responsible for evaluating the quality of software products. This involves testing software to identify bugs and defects. This course may be useful for someone in this role because it will help them understand how to identify and structure log files, read log files in Logstash, and process log lines in Logstash.

Reading list

We've selected 14 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 Processing and Visualizing Logs With Elastic Stack.
Comprehensive guide to Elasticsearch, covering topics such as data indexing, querying, and analysis. It also includes information on Elasticsearch's REST API and plugins.
Provides a practical introduction to Logstash, covering topics such as log collection, parsing, and filtering. It also includes information on Logstash's plugins and ecosystem.
Provides a comprehensive overview of deep learning. It covers a wide range of topics, including convolutional neural networks, recurrent neural networks, and deep learning architectures. It valuable resource for anyone who wants to learn more about deep learning.
Provides a comprehensive overview of Keras for deep learning. It covers a wide range of topics, including Keras basics, deep learning models, and advanced deep learning techniques. It valuable resource for anyone who wants to learn more about Keras for deep learning.
Provides a comprehensive overview of PyTorch for deep learning. It covers a wide range of topics, including PyTorch basics, deep learning models, and advanced deep learning techniques. It valuable resource for anyone who wants to learn more about PyTorch for deep learning.
Provides a comprehensive overview of machine learning with Scikit-Learn, Keras, and TensorFlow. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning. It valuable resource for anyone who wants to learn more about machine learning with Scikit-Learn, Keras, and TensorFlow.
Provides a comprehensive overview of the Linux command line. It covers a wide range of topics, including basic commands, file management, and system administration. It valuable resource for anyone who wants to learn more about the Linux command line.
Provides a comprehensive overview of the Python programming language. It covers a wide range of topics, including basic syntax, data types, and control flow. It valuable resource for anyone who wants to learn more about Python.
Provides a comprehensive overview of data analysis with Python. It covers a wide range of topics, including data wrangling, data exploration, and data visualization. It valuable resource for anyone who wants to learn more about data analysis with Python.
Provides a comprehensive overview of machine learning with Python. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning. It valuable resource for anyone who wants to learn more about machine learning with Python.
Provides a comprehensive overview of deep learning with Python. It covers a wide range of topics, including convolutional neural networks, recurrent neural networks, and deep learning architectures. It valuable resource for anyone who wants to learn more about deep learning with Python.
Provides a concise and practical guide to Elasticsearch. It covers topics such as data indexing, querying, and analysis. It also includes information on Elasticsearch's REST API and plugins.
Provides a comprehensive overview of data-intensive application design, including topics such as data modeling, storage systems, and distributed architectures. Offers background knowledge and context.
A fictionalized account of a DevOps transformation, providing insights into the challenges and benefits of adopting DevOps practices. Offers practical examples and lessons learned.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser