Gain End-to-End Intelligence Across Your Customer Experience and Application Performance with Latest Updates to AppDynamics

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This month, we are excited to deliver additional AppDynamics functionalities across observability, intelligence, and usability that will help enterprise companies gain end-to-end intelligence across customer experience and application performance.

We are excited to deliver additional AppDynamics functionality across observability, intelligence, and usability. With our Winter update, we are continuing our ongoing efforts to ensure enterprise companies provide world-class customer experiences with the help of real-time performance monitoring.

To enhance observability, we have now made Synthetics Monitoring available to our on-premises customers. This release of the synthetics server, together with the latest update of the synthetic private agent, enables on-premises customers to monitor the availability of their internal website and applications.

To augment intelligence, customers with PHP applications can now take advantage of our AppDynamics Business iQ (“Analytics”) capabilities, such as segmenting transaction benefits by customer or identifying stalled orders by customer with Business Journeys.

Apart from the default information collected by Business Journeys, such as total time taken, event time stamp, etc., users can also extract additional business information (such as customer details, loan amount, loan type, etc.) from the various data collectors.


With Business Journeys, users can also define the business workflow thresholds for “Normal,” “Slow,” “Very Slow,” “Stalled,” and “Error.” Composite events are automatically compared against the set thresholds, and the events are classified accordingly for analytics and visual representation. These health values are calculated on the total time taken to complete the milestones in a business journey. For example, a business journey is classified as “Slow” when the time for completion is three standard deviations greater than the value for all journeys in last two hours. These thresholds can be customized as needed.


After configuring key business workflows, the composite Business Journeys events are created during data ingestion, and hence, provide a real-time view of the application workflow. The feature allows application performance bottlenecks to be resolved based on key business metrics and reduces the mean time to business awareness (MTBA). For example, the marketing department can minimize customer churn by running timely promotions or offering discounts to customers impacted by a slowdown in the payments API.

Most Windows server software runs as a service when the machine boots up. You can create a Windows service to run the Database Agent by executing a script bundled with the product. To create the database agent as a Windows Service, run the following command as an administrator:

cscript <db_agent_home>\InstallService.vbs <jvm_options>

A Windows Services named “AppDynamics Database Agent” will be created. The screenshot below shows the Windows Service Control Manager.

In addition, to simplify the installation process, you can now run a script to install the Database Agent as a Windows Service instead of having to launch Database Monitoring via the command line.

For enhanced usability, the Java Agent has been certified to support WebSphere Liberty Profile. Additionally, the agent correctly interprets the new format of garbage collection and CPU consumption reporting introduced by IBM in the SR5 release of their Java SDK v8.

In addition, SaaS customers on AppDynamics can continue to enjoy faster feature releases and updates with our monthly cadence. Rapid roll out of features allows for innovative and efficient upgrades to your system with minimal downtime.

A comprehensive list of resolves issued organized by product area can be found in our 4.5.x Release Notes.


Shreyans Parekh

Shreyans Parekh

Shreyans Parekh is a Senior Manager at AppDynamics, where he manages go-to-market strategy across product releases and is focused on innovation in the areas of End User Monitoring (EUM), Cloud Migration and IoT. His writing has appeared in publications by Intuit, IBM Bluewolf, New Relic, Apttus and the University of Michigan Ross School of Business. He can be reached on Twitter @ShreyParekh.