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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.

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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

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What's inside

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

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

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Activities

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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.
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 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 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 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 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 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 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 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 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 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 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 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 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 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.

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.
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.

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