May 1, 2024
3 minute read
Application Metrics is the process of measuring and monitoring the performance of an application and its components. It is an important part of software development and operations, as it allows you to ensure that your application is meeting its performance goals and that it is not experiencing any unexpected problems.
Reasons to Learn Application Metrics
There are many reasons why you might want to learn about application metrics. Here are a few of the most common:
a07dqu|
Find a path to becoming a Application Metrics. Learn more at:
OpenCourser.com/topic/a07dqu/application
Reading list
We've selected eight 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
Application Metrics.
Provides a comprehensive guide to the principles and practices of observability engineering; includes a chapter on application metrics, which discusses the importance of application metrics in understanding and improving the performance and reliability of complex systems.
Provides a comprehensive guide to using Elasticsearch, an open-source search engine and analytics platform; includes a chapter on monitoring and performance tuning, which discusses the importance of application metrics in understanding and improving the performance of Elasticsearch clusters.
Provides a comprehensive guide to designing and implementing microservices; includes a chapter on monitoring and observability, which discusses the importance of application metrics in understanding and improving the performance and reliability of microservices.
Provides a comprehensive guide to using Spring Boot, Spring Cloud, and Kubernetes to build and deploy cloud-native Java applications; includes a chapter on monitoring and observability, which discusses the importance of application metrics in understanding and improving the performance and reliability of cloud-native applications.
Provides a comprehensive guide to using Apache Kafka, an open-source stream processing platform; includes a chapter on monitoring and performance tuning, which discusses the importance of application metrics in understanding and improving the performance of Kafka clusters.
Provides a comprehensive overview of the principles and techniques used to analyze the performance of computer systems; includes a chapter on application performance analysis, which discusses the importance of application metrics in understanding and improving the performance of computer systems.
Provides an in-depth look at the practices and processes used by Google to ensure the reliability and performance of their production systems; while not specifically focused on application metrics, it provides a valuable perspective on the role of metrics in ensuring the reliability and performance of complex systems.
Provides a comprehensive guide to the principles and patterns used to scale web applications; includes a chapter on monitoring and performance analysis, which discusses the importance of application metrics in understanding and improving the performance of web applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/a07dqu/application
Save
