Application Performance Monitoring
May 1, 2024
3 minute read
Application performance monitoring (APM) is the process of monitoring and managing the performance of software applications. It is used to identify and resolve performance issues, improve application reliability, and ensure that applications meet the needs of users. APM can be used to monitor applications running on a variety of platforms, including on-premises servers, cloud-based platforms, and mobile devices.
Why Learn Application Performance Monitoring?
There are many reasons why you might want to learn about application performance monitoring. If you are a software developer, APM can help you to identify and resolve performance issues in your applications. If you are an IT professional, APM can help you to manage the performance of your organization's applications and ensure that they are meeting the needs of users. And if you are a business user, APM can help you to understand how your applications are performing and how they are impacting your business.
How to Learn Application Performance Monitoring
ahy3lc|
Find a path to becoming a Application Performance Monitoring. Learn more at:
OpenCourser.com/topic/ahy3lc/application
Reading list
We've selected nine 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 Performance Monitoring.
Provides a detailed overview of the principles and practices of monitoring complex systems. It covers topics such as data collection, visualization, and alerting.
Provides a detailed overview of the principles and practices of high-performing technology organizations. It covers topics such as culture, leadership, and measurement.
Provides a comprehensive overview of the principles and practices of DevOps. It covers topics such as culture, collaboration, and automation.
Provides a detailed overview of the principles and practices of site reliability engineering (SRE). It covers topics such as incident management, capacity planning, and performance optimization.
Provides a comprehensive overview of the theory and practice of software performance measurement. It covers topics such as performance metrics, profiling, and benchmarking.
Provides a comprehensive overview of the challenges and techniques for designing and building data-intensive applications. It covers topics such as data modeling, storage systems, and distributed systems.
Provides a practical guide to designing and building microservices. It covers topics such as microservice architecture, API design, and testing.
Provides a detailed overview of the use of Kubernetes for container orchestration. It covers topics such as Kubernetes architecture, deployment strategies, and troubleshooting.
Provides a comprehensive overview of application performance monitoring. The book covers a wide range of topics, including the benefits of APM, the different types of APM tools, and the best practices for implementing APM.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/ahy3lc/application