May 14, 2024
4 minute read
Logs and metrics are essential components of any modern application. They provide valuable insights into the behavior of your application, helping you to identify and resolve problems quickly and efficiently. Logs contain a detailed record of all events that occur within your application, while metrics provide a summary of key performance indicators, such as the number of requests processed or the latency of your application.
Benefits of Logs and Metrics
There are many benefits to using logs and metrics in your application. Some of the most important benefits include:
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Find a path to becoming a Logs and Metrics. Learn more at:
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Reading list
We've selected 12 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
Logs and Metrics.
Covers the principles and best practices for cloud computing patterns. It discusses topics such as cloud architecture, cloud services, and cloud management, and provides practical examples of how to implement these principles in a real-world application.
Provides a comprehensive overview of metrics, covering everything from basic concepts to advanced techniques for collecting, analyzing, and visualizing data.
Provides a comprehensive overview of metrics and monitoring, covering everything from basic concepts to advanced techniques.
Covers the principles and best practices for designing data-intensive applications. It discusses topics such as data modeling, data storage, and data processing, and provides practical examples of how to implement these principles in a real-world application.
Provides a practical guide to designing and building microservices. It covers topics such as microservice architecture, containerization, and service discovery, and provides practical examples of how to implement these concepts in a real-world application.
Covers the principles and best practices for monitoring and troubleshooting performance applications. It discusses topics such as performance metrics, profiling, and debugging, and provides practical examples of how to implement these principles in a real-world application.
Covers the principles and best practices for network security monitoring. It discusses topics such as network security monitoring tools, security event correlation, and incident response, and provides practical examples of how to implement these principles in a real-world application.
Covers the principles and best practices for network performance troubleshooting. It discusses topics such as network performance metrics, troubleshooting tools, and performance tuning, and provides practical examples of how to implement these principles in a real-world application.
Covers the principles and best practices for site reliability engineering. It discusses topics such as incident management, change management, and performance monitoring, and provides practical examples of how to implement these principles in a real-world application.
Covers the principles and best practices for continuous delivery. It discusses topics such as continuous integration, continuous deployment, and automated testing, and provides practical examples of how to implement these principles in a real-world application.
Covers the principles and best practices for agile infrastructure. It discusses topics such as infrastructure automation, cloud computing, and DevOps, and provides practical examples of how to implement these principles in a real-world application.
Provides practical guidance on using metrics to identify and resolve performance bottlenecks in your applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/40qs0u/logs
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