It’s all about automation! Learn Automated Transaction Diagnostics in AppDynamics University SFT270 and address memory issues in SFT265
In this article:
SFT270 - Unlock the power of Machine Learning and AI with Automated Transaction Diagnostics
Instructor-led Training
1 Topic
1 Lab
Course duration: 1 hour
This one-hour course will introduce you to the Automatic Transaction Detection AI feature.
This course is available for Premium University users. To view and register for this, check out AppDynamics University and search for the code SFT270.
What you’ll learn
You will learn how to enable anomaly detection, what constitutes an anomaly in AppDynamics, and how to use this feature to save time in troubleshooting your application.
Who is this course for?
This course is for individuals or teams who want to learn how to enable and use AppDynamics AI features to save time in tracking down application issues.
SFT265 - Address Memory Issues with Automatic Leak Detection and Object Instance Tracking
Instructor-led Training
1 Topic
2 Labs
Course duration: 45 min
Learn how to use Automatic Leak Detection (ALD) and Object Instance Tracking (OIT) to find issues with memory, such as memory leaks and identify memory usage trends in classes with large numbers of instances.
This course is available for Premium University users. To view and register for this, check out AppDynamics University and search for the code SFT265.
What you’ll learn
You will learn how to use ALD to discover potentially leaking collections. You’ll learn how to use OIT to monitor frameworks (.NET), classes (Java), and nodes (node.js) with large numbers of instances, and monitor their memory usage.
Who is this course for?
This course is for individuals or teams who need to troubleshoot memory issues in their Java, .NET, or Node JS applications.
