May 1, 2024
Updated June 27, 2025
13 minute read
An Introduction to AWS X-Ray
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Find a path to becoming a AWS X-Ray. Learn more at:
OpenCourser.com/topic/qeffpq/aws
Reading list
We've selected seven 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
AWS X-Ray.
This guide provides a comprehensive overview of AWS X-Ray, including its features, benefits, and how to use it to monitor and troubleshoot applications.
Provides a comprehensive overview of observability engineering, including its principles, practices, and tools. It covers a wide range of topics, including tracing, logging, metrics, and alerting.
Provides a comprehensive overview of software performance engineering. It covers a wide range of topics, including performance analysis, performance modeling, and performance optimization.
Provides a comprehensive overview of machine learning in Python. It covers a wide range of topics, including linear regression, logistic regression, decision trees, and neural networks.
Provides a comprehensive overview of Python programming. It covers a wide range of topics, including data types, control flow, and functions.
Provides a comprehensive overview of Python for data science. It covers a wide range of topics, including data manipulation, data analysis, and data visualization.
Provides a comprehensive overview of Python for data science. It covers a wide range of topics, including data manipulation, data analysis, and data visualization.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/qeffpq/aws
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