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Processing and Visualizing Logs With Elastic Stack
Ahmed Souidan
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...
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...
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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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
Coming soon
We're preparing activities for
Processing and Visualizing Logs With Elastic Stack.
These are activities you can do either before, during, or after a course.
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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