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Ahmed Souidan
In this 1-hour long project-based course, you will learn how to identify and structure log files, you will be able to read log files in Logstash, you will be able to process log lines in Logstash , you will be able to ship log lines to Elastic Search , you will be able to query Elastic Search , you will be able to discover and visualize your data using Kibana
By the end of this project, you will create a dashboard for visualizing logs using Elastic Stack (ELK Stack). This project offers a chance for Devops engineers to identify and visualize their logs with Elastic Stack.
Devops is a skill that is very much required in the job...
Read more
In this 1-hour long project-based course, you will learn how to identify and structure log files, you will be able to read log files in Logstash, you will be able to process log lines in Logstash , you will be able to ship log lines to Elastic Search , you will be able to query Elastic Search , you will be able to discover and visualize your data using Kibana
By the end of this project, you will create a dashboard for visualizing logs using Elastic Stack (ELK Stack). This project offers a chance for Devops engineers to identify and visualize their logs with Elastic Stack.
Devops is a skill that is very much required in the job...
Read more
In this 1-hour long project-based course, you will learn how to identify and structure log files, you will be able to read log files in Logstash, you will be able to process log lines in Logstash , you will be able to ship log lines to Elastic Search , you will be able to query Elastic Search , you will be able to discover and visualize your data using Kibana
By the end of this project, you will create a dashboard for visualizing logs using Elastic Stack (ELK Stack). This project offers a chance for Devops engineers to identify and visualize their logs with Elastic Stack.
Devops is a skill that is very much required in the job market, especially with IT giants handling Big Data. This project will walk you through the first steps of this field.
Throughout the project, you will be able to identify and apply the key concepts of visualizing and dissecting logs which reap benefits for Devops engineers. Moreover, you will be able to collect logs from a server, process logs with Logstash, store data using ElasticSearch and visualize data using Kibana. In this project, we will be using Elastic Stack so the learner will get to have a hand on experience with Elastic Stack and its features.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/9ydtoi/processing
Good to know
Good to know
Know what's good ,
what to watch for , 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
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Save Processing and Visualizing Logs With Elastic Stack to your list so you can find it easily later:
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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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
Read this comprehensive guide to Elasticsearch to deepen your understanding of the platform and its capabilities.
View
Elasticsearch: The Definitive Guide: A...
on Amazon
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
Show steps
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
Show steps
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.
Practice Logstash syntax and commands
Show steps
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
Show steps
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
Show steps
Practice identifying and structuring log files using Logstash to improve your understanding of the process.
Show steps
Show steps
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
Show steps
Attend an ELK Stack workshop to gain hands-on experience with the platform.
Show steps
Show steps
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
Show steps
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
Show steps
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
Show steps
Review the key concepts of Elasticsearch to enhance your understanding of the platform.
Show steps
Show steps
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
Show steps
Join a peer session to discuss and explore the concepts of Logstash and Elasticsearch.
Show steps
Show steps
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
Show steps
Create a Kibana dashboard to visualize your logs and gain insights into your data.
Show steps
Show steps
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
Show steps
Read this comprehensive guide to Elasticsearch to deepen your understanding of the platform and its capabilities.
View
Elasticsearch: The Definitive Guide: A...
on Amazon
Show steps
Show steps
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
Show steps
Contribute to the Logstash open source project to gain practical experience and enhance your understanding of the platform.
Show steps
Show steps
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
Show steps
Refresh your knowledge of Linux command line basics to ensure you have a strong foundation.
Browse courses on
Linux
Show steps
Show steps
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
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.
Data Scientist
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.
Business Analyst
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.
Database Administrator
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.
Information Security Analyst
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.
Product Manager
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.
Data Engineer
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.
Project Manager
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.
Cloud Engineer
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.
Technical Writer
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.
Security Engineer
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.
Network Engineer
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.
Site Reliability Engineer
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.
DevOps Engineer
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.
Software Tester
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.
For more career information including salaries, visit:
OpenCourser.com/course/9ydtoi/processing
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.
Save
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.
Save
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.
Save
A fictionalized account of a DevOps transformation, providing insights into the challenges and benefits of adopting DevOps practices. Offers practical examples and lessons learned.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/9ydtoi/processing
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Time
1 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Ahmed Souidan
Good to know
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
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