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Managing Advanced Kubernetes Logging and Tracing

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.

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

This course is no longer available. Find something similar by browsing:
Kubernetes Logging Tracing Performance Optimization Observability Troubleshooting Prometheus

What's inside

Syllabus

Course Overview
Why Are Logging and Tracing Important?
Accessing the Kubernetes Logs
Collecting and Analyzing the Logs
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Traffic lights

Read about what's good
what should give you pause
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

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

Practical kubernetes observability for professionals

According to students, Managing Advanced Kubernetes Logging and Tracing is a highly practical and well-structured course that excels in teaching Kubernetes observability patterns. Learners frequently commend the instructor's clear explanations and the invaluable hands-on labs and demos, particularly those involving Prometheus and Grafana, which provide immediate applicability to real-world production environments. While largely seen as a solid foundation for professionals with existing Kubernetes knowledge, a few learners noted that some advanced use cases felt rushed or wished for deeper dives into specific configurations. Recurring feedback also highlighted occasional challenges with lab environments and setup instructions, suggesting potential areas for refinement. Recent reviews indicate the course content is current, with some updates addressing evolving Kubernetes practices.
Offers solid foundation, but some advanced sections could be deeper.
"I wished for a bit more deep dive into specific advanced configurations. Overall, it's a great foundation..."
"The course content is generally good, but I felt some parts were a bit rushed, especially the advanced use cases."
"I wish there were more advanced challenges or scenarios, as it's titled 'Advanced'."
Course content is current and reflects recent Kubernetes changes.
"I also liked the updated content that addresses recent Kubernetes changes."
"The course feels very up-to-date and relevant to current Kubernetes practices."
Instructor provides clear, concise, and knowledgeable explanations.
"The instructor does an excellent job explaining complex concepts like distributed tracing and log aggregation in Kubernetes environments."
"Fantastic course! The instructor's explanations are clear and concise."
"Excellent course for managing advanced Kubernetes observability! The instructor is knowledgeable and presents the material clearly."
Course provides highly applicable, hands-on skills.
"The instructor does an excellent job explaining complex concepts... The hands-on labs with Grafana and Prometheus were particularly useful for applying what I learned immediately."
"The practical examples helped me understand how to effectively manage logging and tracing in my production clusters."
"Extremely useful for my job! I can immediately apply these techniques to improve our system's debugging capabilities."
Some learners faced difficulties with lab setup and troubleshooting.
"I encountered some issues with the lab environments that took time to troubleshoot independently, which was frustrating."
"The labs sometimes felt brittle. I had to spend a lot of time debugging my environment rather than focusing on the course content."
"I found that some of the initial setup instructions could be clearer for those less familiar with certain tools."

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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

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 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.
See salaries and explore the career path for Site Reliability Engineer
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.
See salaries and explore the career path for Systems Administrator
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.
See salaries and explore the career path for Network Engineer
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.
See salaries and explore the career path for Database Administrator
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.
See salaries and explore the career path for Data Analyst
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.
See salaries and explore the career path for Software Developer
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.
See salaries and explore the career path for Quality Assurance Analyst
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.
See salaries and explore the career path for Cloud Architect
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.
See salaries and explore the career path for DevOps Engineer
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.
See salaries and explore the career path for Security Analyst
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.
See salaries and explore the career path for Cloud Security Engineer
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.
See salaries and explore the career path for Technical Support Specialist
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.
See salaries and explore the career path for Data 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.
See salaries and explore the career path for Machine Learning Engineer
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.
See salaries and explore the career path for Business Analyst

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.
Cover image
Distributed Tracing in Practice
Save
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.
Distributed Tracing in Practice: Instrumenting,...
Paperback
$$
Distributed Tracing in Practice: Instrumenting,...
Kindle Edition
$$
Cover image
Site Reliability Engineering
Save
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.
Site Reliability Engineering: How Google Runs...
Kindle Edition
$$
Cover image
Microservices Patterns
Save
Provides a comprehensive overview of microservices patterns, including topics such as logging, tracing, and monitoring. It valuable resource for anyone who wants to learn more about microservices.
Microservices Patterns: With examples in Java
Paperback
$$
Microservices Patterns: With examples in Java
Kindle Edition
$$
Cover image
Elasticsearch: The Definitive Guide
Save
Provides a comprehensive guide to Elasticsearch, a popular log storage and analysis platform. It covers data indexing, search, and aggregation techniques, complementing the course's coverage of log storage and analysis.
Elasticsearch: The Definitive Guide: A Distributed...
Paperback
$$
Elasticsearch: The Definitive Guide: A Distributed...
Kindle Edition
$$
Cover image
Spring 6 Recipes
Save
Provides a comprehensive overview of cloud native Java development, including topics such as logging, tracing, and monitoring. It valuable resource for anyone who wants to learn more about cloud native Java development.
Spring 6 Recipes: A Problem-Solution Approach to...
Paperback
$$
Spring 6 Recipes: A Problem-Solution Approach to...
Kindle Edition
$$
Cover image
Kubernetes in Action, Second Edition
Save
Provides a comprehensive overview of Kubernetes, including topics such as logging, tracing, and monitoring. It valuable resource for anyone who wants to learn more about Kubernetes.
Kubernetes in Action, Second Edition
Paperback
$$$

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Course image
Time
105 hours
Level
Advanced
Via
Pluralsight
Instructor
Piotr Gaczkowski
Language
English
Traffic lights
Read about what's good
what should give you pause
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
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