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Neil Morrissey

Issues in deployed applications can be difficult to diagnose. This course will teach you how to use capabilities in .NET to trace and instrument your applications in order to log the behavior of the system and diagnose problems.

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Issues in deployed applications can be difficult to diagnose. This course will teach you how to use capabilities in .NET to trace and instrument your applications in order to log the behavior of the system and diagnose problems.

Software doesn’t always behave as expected. When problems occur, you need to understand the behavior of the deployed system in order to diagnose and solve issues with your code and data. In this course, .NET Diagnostics for Applications: Best Practices, you’ll learn to how to instrument and trace your code, in order to create useful diagnostics. First, you’ll learn how to instrument apps using classes in System.Diagnostics, like Debug, TraceSource, and DiagnosticSource. Next, you’ll discover the various destinations for TraceListeners and Logging Providers. Finally, you’ll explore how to instrument more complex, distributed applications using the Activity class and OpenTelemetry. When you’re finished with this course, you’ll have the skills and knowledge of instrumenting and tracing needed to implement diagnostics for .NET applications.

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What's inside

Syllabus

Course Overview
Tracing and Instrumenting Applications
Configuring Trace Listeners and Logging Providers
Working with the Windows Event Log
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Tracing Distributed Applications

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores debugging and tracing applications using .NET and OpenTelemetry, which are standard in modern software development
Develops intermediate to advanced skills in tracing and diagnosing software problems such as performance bottlenecks and crashes, which can be useful to software engineers
Taught by an industry expert in software development, ensuring relevance and quality of instruction
Covers a range of tracing and logging techniques, providing a comprehensive understanding of the subject matter
Offers practical exercises and hands-on demonstrations, making the learning experience more engaging and effective

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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 .NET Diagnostics for Applications: Best Practices with these activities:
Organize and review course materials
Review and organize the course materials to enhance your understanding and retention.
Show steps
  • Gather and organize notes, assignments, and resources
  • Create summaries or mind maps
  • Regularly review and revisit the materials
Review the .NET Diagnostics tutorial
Go through the .NET Diagnostics tutorial to familiarize yourself with the concepts and techniques covered in this course.
Browse courses on Tracing
Show steps
  • Visit the .NET Diagnostics tutorial
  • Read through the tutorial
Read 'CLR via C#' by Jeffrey Richter
Gain a deeper understanding of the Common Language Runtime (CLR), which is essential for working with .NET diagnostics.
Show steps
  • Purchase or borrow the book
  • Read through the relevant chapters
Six other activities
Expand to see all activities and additional details
Show all nine activities
Discuss best practices for .NET diagnostics
Engage with peers to share and discuss best practices for implementing diagnostics in .NET applications.
Browse courses on Best Practices
Show steps
  • Join a study group or online forum
  • Prepare questions and share your experiences
  • Discuss and learn from others
Practice with Debug, TraceSource, and DiagnosticSource
Work through examples and exercises to gain hands-on experience with the different classes used for instrumentation in .NET.
Browse courses on Debug
Show steps
  • Set up a sample project
  • Implement Debug, TraceSource, and DiagnosticSource
  • Run the project and observe the output
Attend a workshop on .NET diagnostics
Participate in a workshop to receive hands-on guidance and further enhance your skills in .NET diagnostics.
Browse courses on .NET
Show steps
  • Find and register for a relevant workshop
  • Attend the workshop and actively participate
Build a simple web application with tracing and logging
Apply your knowledge by creating a web application that uses tracing and logging to monitor its behavior.
Browse courses on Tracing
Show steps
  • Create a new web application project
  • Implement tracing and logging
  • Run the application and test the tracing and logging
Write a blog post or article on .NET diagnostics
Share your knowledge and understanding of .NET diagnostics by creating a written piece that explains the concepts and techniques.
Browse courses on .NET
Show steps
  • Choose a topic
  • Research and gather information
  • Write and edit the content
  • Publish and promote your work
Mentor junior developers on .NET diagnostics
Reinforce your knowledge and contribute to the community by sharing your expertise with others who are learning .NET diagnostics.
Browse courses on .NET
Show steps
  • Identify opportunities to mentor
  • Prepare and share materials
  • Provide guidance and support

Career center

Learners who complete .NET Diagnostics for Applications: Best Practices will develop knowledge and skills that may be useful to these careers:
Performance Engineer
Performance Engineers analyze and optimize the performance of software systems. This course equips learners with the skills to instrument and trace applications, enabling them to identify and address performance bottlenecks. It provides a deep understanding of tracing mechanisms and their use in performance analysis.
Site Reliability Engineer
Site Reliability Engineers (SREs) are responsible for the reliability and performance of software systems. This course provides a solid foundation in tracing and instrumenting applications, which are crucial skills for SREs to identify and resolve issues that impact system reliability.
Technical Architect
Technical Architects design and implement the overall architecture of software systems. This course provides valuable insights into tracing and instrumenting applications, enabling Technical Architects to understand the behavior and performance of complex systems. It equips them with the skills to make informed decisions about system design and optimization.
Cloud Engineer
Cloud Engineers design, deploy, and manage cloud-based infrastructure and applications. This course aligns with the Cloud Engineer's need to monitor and troubleshoot applications in cloud environments. It provides the knowledge and skills to implement effective diagnostics and logging mechanisms for cloud-native applications.
DevOps Engineer
DevOps Engineers bridge the gap between development and operations teams, ensuring the smooth deployment and maintenance of software applications. This course aligns with the DevOps Engineer's need to monitor and troubleshoot applications in production environments. It provides the knowledge and tools to implement effective diagnostics and logging mechanisms.
Software Test Engineer
Software Test Engineers design and execute tests to ensure the quality and reliability of software applications. This course provides valuable insights into tracing and instrumenting applications, enabling Software Test Engineers to identify and resolve issues related to functional and non-functional requirements. It enhances their ability to monitor and debug application behavior during testing, ensuring the delivery of high-quality software.
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models for various applications. This course provides valuable insights into tracing and instrumenting machine learning models, enabling Machine Learning Engineers to identify and resolve issues related to model performance and stability. It enhances their ability to monitor and debug machine learning systems, ensuring the reliability and accuracy of predictive models.
Security Engineer
Security Engineers design and implement security measures to protect software systems from vulnerabilities and attacks. This course provides insights into tracing and instrumenting applications, which are essential skills for Security Engineers to monitor and detect security incidents. It helps build a foundation for understanding the behavior of applications and identifying potential security risks.
Data Engineer
Data Engineers design and build data pipelines and systems for managing and analyzing large datasets. This course provides valuable insights into tracing and instrumenting data pipelines, enabling Data Engineers to identify and resolve issues related to data quality, performance, and reliability.
Systems Engineer
Systems Engineers design, develop, and maintain complex systems that integrate hardware and software components. This course provides valuable insights into tracing and instrumenting applications, which are essential skills for Systems Engineers to diagnose and resolve issues in large-scale systems.
Product Manager
Product Managers are responsible for defining and managing the roadmap for software products. This course may be helpful for Product Managers who wish to enhance their understanding of the technical aspects of software development and diagnostics. It provides insights into the challenges and techniques involved in tracing and instrumenting applications, enabling Product Managers to make informed decisions about product features and requirements.
Software Engineer
Software Engineers apply engineering principles to the design, development, deployment, and maintenance of software systems. The course's focus on tracing and instrumenting applications aligns with the Software Engineer's need to understand and debug the behavior of complex software systems. This course may be particularly useful for Software Engineers working on distributed systems.
Technical Writer
Technical Writers create and maintain documentation for software products. This course may be helpful for Technical Writers who wish to enhance their understanding of the technical concepts behind software diagnostics. It provides insights into the principles and practices of tracing and instrumenting applications, enabling Technical Writers to create accurate and informative documentation that assists users in troubleshooting and resolving issues.
Data Scientist
Data Scientists use data analysis and machine learning techniques to extract insights from data. This course may be helpful for Data Scientists who wish to enhance their understanding of tracing and instrumenting data pipelines and models. It provides the skills to monitor and debug data processing systems, ensuring the accuracy and reliability of data-driven insights.
Software Developer
Software Developers are responsible for designing, developing, and maintaining software applications using various programming languages and frameworks. By providing the knowledge and skills to instrument and trace applications, this course may be helpful for Software Developers who wish to enhance their ability to diagnose and resolve issues in deployed applications.

Reading list

We've selected 13 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 .NET Diagnostics for Applications: Best Practices.
A detailed and in-depth look at the C# language, providing a deep understanding of its features and capabilities.
One of the definitive references for CLR, with the 4th edition offering the most current and up-to-date information.
A comprehensive guide to software development, covering a wide range of topics from requirements gathering to testing.
A comprehensive guide to designing and building data-intensive applications, providing a deep understanding of the principles and best practices.
A novel that tells the story of a team of IT professionals who must overcome a series of challenges to save their company from disaster.
A comprehensive guide to domain-driven design, providing a framework for understanding and modeling complex business domains.
A practical guide to site reliability engineering, providing a set of principles and best practices for ensuring the reliability and performance of online systems.

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