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Piotr Gaczkowski
Finding bugs and performance issues in the production environment is no
easy task. This course will teach you
how to use logging and tracing to
make the problems visible and thus quicker to fix.
Read more
Finding bugs and performance issues in the production environment is no easy task. This course will teach you how to use logging and tracing to make the problems visible and thus quicker to fix.
Read more
Finding bugs and performance issues in the production environment is no easy task. This course will teach you how to use logging and tracing to make the problems visible and thus quicker to fix.
Do you know what your application is doing at any moment in time? In this course, Managing Advanced Kubernetes Logging and Tracing, you’ll learn to debug your applications, find performance issues, and optimize the resources according to the real-world usage of your application. First, you’ll explore how to handle logs both from your application and Kubernetes. Next, you’ll discover how to store and process the logs and also how to use distributed tracing. Finally, you’ll learn how to visualize all this information and add alerting. When you’re finished with this course, you’ll have the skills and knowledge of Kubernetes logging and tracing needed to maintain a distributed application in production
Register for this course and see more details by visiting:
OpenCourser.com/course/cn7ye4/managing
What's inside
Syllabus
Course Overview
Why Are Logging and Tracing Important?
Accessing the Kubernetes Logs
Collecting and Analyzing the Logs
Read more
Syllabus
Course Overview
Why Are Logging and Tracing Important?
Accessing the Kubernetes Logs
Collecting and Analyzing the Logs
Read more
Distributed Tracing in Kubernetes
Monitoring with Prometheus and Grafana
Advanced Use Cases for Observability
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores logging and tracing techniques that are crucial for swiftly locating and addressing issues in production environments
Suitable for individuals who seek to enhance their expertise in debugging, identifying performance issues, and resource optimization in Kubernetes
Taught by Piotr Gaczkowski, an experienced instructor recognized for their expertise in the field
Provides a deep dive into advanced Kubernetes logging and tracing practices, equipping learners with industry-standard tools and techniques
Offers practical insights through real-world scenarios, ensuring the applicability of the techniques taught
Save this course
Save Managing Advanced Kubernetes Logging and Tracing 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 Managing Advanced Kubernetes Logging and Tracing with these
activities:
Join a Kubernetes Study Group
Show steps
Collaborate with peers to reinforce concepts, share knowledge, and troubleshoot challenges.
Browse courses on
Kubernetes
Show steps
-
Identify or create a study group focused on Kubernetes logging and tracing
-
Regularly meet to discuss course materials, ask questions, and work on projects together
-
Share resources, best practices, and troubleshooting tips
-
Provide peer support and encouragement
Kubernetes Logging Tutorial
Show steps
Follow a guided tutorial to learn the basics of Kubernetes logging, ensuring a strong foundational understanding.
Browse courses on
Logging
Show steps
-
Read documentation on Kubernetes logging concepts.
-
Follow a hands-on tutorial to configure logging for a Kubernetes cluster.
-
Explore advanced logging features, such as log rotation and retention.
Participate in a Kubernetes Hands-on Workshop
Show steps
Gain practical experience and deepen your Kubernetes knowledge through hands-on exercises.
Show steps
-
Identify and register for a workshop focused on Kubernetes logging and tracing
-
Attend the workshop and actively participate in exercises
-
Implement the concepts learned in your own Kubernetes environment
-
Share your experiences and ask questions with fellow participants
13 other activities
Expand to see all activities and additional details
Show all 16 activities
Join a study group to discuss logging and tracing
Show steps
Discussing logging and tracing with others can help you learn from their experiences and improve your own understanding.
Show steps
-
Find a study group or online forum where you can discuss logging and tracing
-
Participate in the discussions and ask questions
-
Share your own knowledge and experience
Attend a Kubernetes Meetup or Conference
Show steps
Connect with other Kubernetes users and professionals to share experiences and learn from industry experts.
Show steps
-
Identify relevant meetups or conferences in your area
-
Register for and attend the event
-
Engage with speakers, attendees, and vendors
-
Discuss Kubernetes-related topics and challenges
Follow a tutorial on Kubernetes tracing
Show steps
Tracing is essential for understanding the flow of requests through your application. This activity will help you get started with tracing in Kubernetes.
Browse courses on
Tracing
Show steps
-
Find a tutorial on Kubernetes tracing
-
Follow the steps in the tutorial
-
Deploy the application with tracing enabled
Log Query Exercise
Show steps
Practice fetching logs from a Kubernetes application to improve comfort in log retrieval.
Browse courses on
Logging
Show steps
-
Deploy a sample Kubernetes application with logging enabled.
-
Use the kubectl CLI to retrieve logs for the application.
-
Filter logs based on timestamps, pod names, and containers.
Practice debugging logs
Show steps
Debugging logs is a critical skill in production environments. This activity will help you develop your debugging skills and improve your ability to find and fix bugs.
Browse courses on
Debugging
Show steps
-
Set up a local Kubernetes environment
-
Deploy a simple application with logging enabled
-
Introduce bugs into the application and try to debug them using the logs
Jaeger Distributed Tracing Tutorial
Show steps
Complete a comprehensive tutorial on Jaeger, gaining proficiency in distributed tracing and troubleshooting.
Browse courses on
Jaeger
Show steps
-
Install and configure Jaeger on a Kubernetes cluster.
-
Instrument a Kubernetes application to send traces to Jaeger.
-
Analyze traces to identify performance inefficiencies and bottlenecks.
Analyze Logs in Kubernetes using Loki
Show steps
Get hands-on experience in analyzing Kubernetes logs to identify issues quickly.
Show steps
-
Set up Loki and configure log scraping
-
Run sample applications and generate logs
-
Use Loki's query language to analyze logs
-
Identify patterns and potential issues
Create Custom Kubernetes Operators
Show steps
Extend your Kubernetes skills by building custom operators to automate complex tasks.
Show steps
-
Learn about Kubernetes operators and their benefits
-
Choose a framework for creating operators (e.g., Operator SDK)
-
Follow tutorials to build a basic operator
-
Apply patterns and best practices in operator development
Create a dashboard to visualize logging and tracing data
Show steps
Visualizing logging and tracing data can help you identify trends and patterns. This activity will help you create a dashboard to visualize this data.
Browse courses on
Dashboard
Show steps
-
Choose a visualization tool (e.g., Grafana, Kibana)
-
Set up the tool to collect and display logging and tracing data
-
Create dashboards to visualize the data
Trace Analysis Challenge
Show steps
Analyze traces to identify performance bottlenecks, improving troubleshooting skills in distributed systems.
Browse courses on
Distributed Tracing
Show steps
-
Deploy a Kubernetes application with tracing enabled.
-
Generate load on the application to capture traces.
-
Use a trace viewer to analyze the traces and identify slow operations.
-
Propose optimizations to reduce latency based on trace analysis.
Monitoring Dashboard Design
Show steps
Create a graphical dashboard to monitor Kubernetes logs and traces, facilitating real-time visibility and troubleshooting.
Show steps
-
Install and configure Grafana on the Kubernetes cluster.
-
Create data sources for Prometheus metrics and Kubernetes logs.
-
Design and implement custom dashboards to visualize logs and traces.
-
Set up alerts to notify on critical errors or performance issues.
Build a Custom Visualization for Kubernetes Metrics
Show steps
Deepen your understanding of Kubernetes metrics and visualization by creating your own custom visualization.
Show steps
-
Choose a monitoring tool that supports custom visualizations
-
Design and implement the visualization using the tool's API or SDK
-
Integrate the visualization with your Kubernetes monitoring system
-
Validate and test the visualization's functionality
Build a Kubernetes Application with Advanced Logging and Tracing
Show steps
Apply your skills by developing a real-world Kubernetes application with robust logging and tracing capabilities.
Show steps
-
Define the application requirements and design
-
Implement the application using Kubernetes best practices
-
Configure and integrate logging and tracing tools
-
Test and debug the application
-
Deploy and monitor the application in a production environment
Join a Kubernetes Study Group
Show steps
Collaborate with peers to reinforce concepts, share knowledge, and troubleshoot challenges.
Browse courses on
Kubernetes
Show steps
Show steps
Show steps
- Identify or create a study group focused on Kubernetes logging and tracing
- Regularly meet to discuss course materials, ask questions, and work on projects together
- Share resources, best practices, and troubleshooting tips
- Provide peer support and encouragement
Kubernetes Logging Tutorial
Show steps
Follow a guided tutorial to learn the basics of Kubernetes logging, ensuring a strong foundational understanding.
Browse courses on
Logging
Show steps
Show steps
Show steps
- Read documentation on Kubernetes logging concepts.
- Follow a hands-on tutorial to configure logging for a Kubernetes cluster.
- Explore advanced logging features, such as log rotation and retention.
Participate in a Kubernetes Hands-on Workshop
Show steps
Gain practical experience and deepen your Kubernetes knowledge through hands-on exercises.
Show steps
Show steps
Show steps
- Identify and register for a workshop focused on Kubernetes logging and tracing
- Attend the workshop and actively participate in exercises
- Implement the concepts learned in your own Kubernetes environment
- Share your experiences and ask questions with fellow participants
13 other activities
Expand to see all activities and additional details
Show all 16 activities
Join a study group to discuss logging and tracing
Show steps
Discussing logging and tracing with others can help you learn from their experiences and improve your own understanding.
Show steps
Show steps
Show steps
- Find a study group or online forum where you can discuss logging and tracing
- Participate in the discussions and ask questions
- Share your own knowledge and experience
Attend a Kubernetes Meetup or Conference
Show steps
Connect with other Kubernetes users and professionals to share experiences and learn from industry experts.
Show steps
Show steps
Show steps
- Identify relevant meetups or conferences in your area
- Register for and attend the event
- Engage with speakers, attendees, and vendors
- Discuss Kubernetes-related topics and challenges
Follow a tutorial on Kubernetes tracing
Show steps
Tracing is essential for understanding the flow of requests through your application. This activity will help you get started with tracing in Kubernetes.
Browse courses on
Tracing
Show steps
Show steps
Show steps
- Find a tutorial on Kubernetes tracing
- Follow the steps in the tutorial
- Deploy the application with tracing enabled
Log Query Exercise
Show steps
Practice fetching logs from a Kubernetes application to improve comfort in log retrieval.
Browse courses on
Logging
Show steps
Show steps
Show steps
- Deploy a sample Kubernetes application with logging enabled.
- Use the kubectl CLI to retrieve logs for the application.
- Filter logs based on timestamps, pod names, and containers.
Practice debugging logs
Show steps
Debugging logs is a critical skill in production environments. This activity will help you develop your debugging skills and improve your ability to find and fix bugs.
Browse courses on
Debugging
Show steps
Show steps
Show steps
- Set up a local Kubernetes environment
- Deploy a simple application with logging enabled
- Introduce bugs into the application and try to debug them using the logs
Jaeger Distributed Tracing Tutorial
Show steps
Complete a comprehensive tutorial on Jaeger, gaining proficiency in distributed tracing and troubleshooting.
Browse courses on
Jaeger
Show steps
Show steps
Show steps
- Install and configure Jaeger on a Kubernetes cluster.
- Instrument a Kubernetes application to send traces to Jaeger.
- Analyze traces to identify performance inefficiencies and bottlenecks.
Analyze Logs in Kubernetes using Loki
Show steps
Get hands-on experience in analyzing Kubernetes logs to identify issues quickly.
Show steps
Show steps
Show steps
- Set up Loki and configure log scraping
- Run sample applications and generate logs
- Use Loki's query language to analyze logs
- Identify patterns and potential issues
Create Custom Kubernetes Operators
Show steps
Extend your Kubernetes skills by building custom operators to automate complex tasks.
Show steps
Show steps
Show steps
- Learn about Kubernetes operators and their benefits
- Choose a framework for creating operators (e.g., Operator SDK)
- Follow tutorials to build a basic operator
- Apply patterns and best practices in operator development
Create a dashboard to visualize logging and tracing data
Show steps
Visualizing logging and tracing data can help you identify trends and patterns. This activity will help you create a dashboard to visualize this data.
Browse courses on
Dashboard
Show steps
Show steps
Show steps
- Choose a visualization tool (e.g., Grafana, Kibana)
- Set up the tool to collect and display logging and tracing data
- Create dashboards to visualize the data
Trace Analysis Challenge
Show steps
Analyze traces to identify performance bottlenecks, improving troubleshooting skills in distributed systems.
Browse courses on
Distributed Tracing
Show steps
Show steps
Show steps
- Deploy a Kubernetes application with tracing enabled.
- Generate load on the application to capture traces.
- Use a trace viewer to analyze the traces and identify slow operations.
- Propose optimizations to reduce latency based on trace analysis.
Monitoring Dashboard Design
Show steps
Create a graphical dashboard to monitor Kubernetes logs and traces, facilitating real-time visibility and troubleshooting.
Show steps
Show steps
Show steps
- Install and configure Grafana on the Kubernetes cluster.
- Create data sources for Prometheus metrics and Kubernetes logs.
- Design and implement custom dashboards to visualize logs and traces.
- Set up alerts to notify on critical errors or performance issues.
Build a Custom Visualization for Kubernetes Metrics
Show steps
Deepen your understanding of Kubernetes metrics and visualization by creating your own custom visualization.
Show steps
Show steps
Show steps
- Choose a monitoring tool that supports custom visualizations
- Design and implement the visualization using the tool's API or SDK
- Integrate the visualization with your Kubernetes monitoring system
- Validate and test the visualization's functionality
Build a Kubernetes Application with Advanced Logging and Tracing
Show steps
Apply your skills by developing a real-world Kubernetes application with robust logging and tracing capabilities.
Show steps
Show steps
Show steps
- Define the application requirements and design
- Implement the application using Kubernetes best practices
- Configure and integrate logging and tracing tools
- Test and debug the application
- Deploy and monitor the application in a production environment
Career center
Learners who complete Managing Advanced Kubernetes Logging and Tracing will develop knowledge and skills
that may be useful to these careers:
Site Reliability Engineer
Site Reliability Engineer
Site Reliability Engineers are responsible for the performance, reliability, and scalability of website and application infrastructure. To succeed in this growing industry, one must have a solid foundation in computer science and software engineering principles. If you wish to enter this career field, Managing Advanced Kubernetes Logging and Tracing may be useful for you. It helps build a foundation in logging and tracing that is necessary for many enterprise-scale applications.
Network Engineer
Network Engineer
Network Engineers are responsible for designing, implementing, and maintaining computer networks. Logging and tracing can be an important part of network troubleshooting, and Managing Advanced Kubernetes Logging and Tracing may be useful for someone seeking to enter this career field.
Systems Administrator
Systems Administrator
Systems Administrators are responsible for managing and maintaining computer systems, including servers, storage, and networks. An advanced understanding of logging and tracing can be an important part of this role, and taking Managing Advanced Kubernetes Logging and Tracing can help one develop that understanding.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. While this role does not typically require advanced logging and tracing knowledge, Managing Advanced Kubernetes Logging and Tracing may be useful for those interested in a career in data management due to the data-handling topics it covers.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make better decisions. Managing Advanced Kubernetes Logging and Tracing may be helpful for someone looking to transition into this career field by providing experience with handling logs and data.
Cloud Architect
Cloud Architect
Cloud Architects are responsible for designing and implementing cloud computing solutions. Managing Advanced Kubernetes Logging and Tracing is a particularly helpful course for those interested in a career in cloud architecture, as it provides experience with logging and tracing in a cloud environment.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing and evaluating software applications to ensure they meet quality standards. Knowledge of logging and tracing can be helpful in this role, as it can help identify and resolve software defects.
DevOps Engineer
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams. Logging and tracing are important tools for DevOps, and Managing Advanced Kubernetes Logging and Tracing can help build a foundation in these practices.
Software Developer
Software Developer
Software Developers are responsible for designing, developing, and maintaining software applications. Logging and tracing are important tools for software development, and Managing Advanced Kubernetes Logging and Tracing can help build a foundation in these practices.
Security Analyst
Security Analyst
Security Analysts are responsible for protecting computer systems and networks from security threats. Managing Advanced Kubernetes Logging and Tracing may be useful for someone seeking to enter this career field as it can help develop an understanding of how logging and tracing can be used to identify and respond to security incidents.
Cloud Security Engineer
Cloud Security Engineer
Cloud Security Engineers are responsible for protecting cloud computing environments from security threats. Managing Advanced Kubernetes Logging and Tracing is a particularly helpful course for those interested in a career in cloud security, as it provides experience with logging and tracing in a cloud environment.
Technical Support Specialist
Technical Support Specialist
Technical Support Specialists are responsible for providing technical support to users of computer systems and software applications. A basic understanding of logging and tracing can be helpful in this role, and Managing Advanced Kubernetes Logging and Tracing can provide a foundational understanding of the concepts.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. Though this role does not typically require advanced knowledge in logging and tracing, Managing Advanced Kubernetes Logging and Tracing can help build foundational knowledge in data handling that can be relevant.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. Though this role does not typically require advanced knowledge in logging and tracing, Managing Advanced Kubernetes Logging and Tracing can be helpful for those interested in the field by introducing the concepts of data handling and analysis.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing business processes and needs to help organizations improve their efficiency and effectiveness. Though this role does not typically require advanced knowledge in logging and tracing, Managing Advanced Kubernetes Logging and Tracing can be useful for those interested in data handling and analysis.
For more career information including salaries, visit:
OpenCourser.com/course/cn7ye4/managing
Reading list
We've selected six 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
Managing Advanced Kubernetes Logging and Tracing.
Provides a deep dive into distributed tracing, including concepts, tools, and implementation techniques. It covers OpenTelemetry, Jaeger, and Zipkin, complementing the course's focus on distributed tracing in Kubernetes.
Offers a comprehensive overview of SRE principles and practices, providing a broader context for understanding the role of logging and tracing in maintaining reliable systems.
Provides a comprehensive overview of microservices patterns, including topics such as logging, tracing, and monitoring. It valuable resource for anyone who wants to learn more about microservices.
Provides a comprehensive guide to Elasticsearch, a popular log storage and analysis platform. It covers data indexing, search, and aggregation techniques, complementing the course's coverage of log storage and analysis.
Save
Provides a comprehensive overview of cloud native Java development, including topics such as logging, tracing, and monitoring. It valuable resource for anyone who wants to learn more about cloud native Java development.
Provides a comprehensive overview of Kubernetes, including topics such as logging, tracing, and monitoring. It valuable resource for anyone who wants to learn more about Kubernetes.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/cn7ye4/managing
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Time
105 hours
Level
Advanced
Via
Pluralsight
Instructor
Piotr Gaczkowski
Language
English
Good to know
Explores logging and tracing techniques that are crucial for swiftly locating and addressing issues in production environments
Suitable for individuals who seek to enhance their expertise in debugging, identifying performance issues, and resource optimization in Kubernetes
Taught by Piotr Gaczkowski, an experienced instructor recognized for their expertise in the field
Provides a deep dive into advanced Kubernetes logging and tracing practices, equipping learners with industry-standard tools and techniques
Offers practical insights through real-world scenarios, ensuring the applicability of the techniques taught
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