Be confident that each new software release performs, operates and delivers successful business outcomes
Automatic generation of application flow maps that dynamically update on every release
Machine learning to understand what is business normal and abnormal application performance
Smart alerting ensures that alerts for every release are in business context
Ensure fast MTTR with any application release issues
Quickly identify the application calls made that have led to the performance problem in order to isolate the issue
See who, where and when people are using your web or mobile applications in order to better plan release cycles
Identify application crashes immediately and understand the user journey to help with new release planning and design activity
Pre-built, easy-to-configure task templates that allow Cloud Autoscaling based on capacity requirements
Scalability Analysis helps you proactively plan capacity requirements for each new release
See in real-time how new releases are performing against older versions
Ensure that key Business Transactions in new releases are delivering the performance that users expect
Understand how current releases are supporting revenue generation
Gain insight into user engagement and performance of releases in order to focus on developing the right new features in the next release
We’re an agile shop. We usually release code into production once or twice a week. But outages and fixes interrupt our sprints and impact productivity... [With AppDynamics] we’ve gained immediate visibility into how our code works in production.
— Ben Hofmann, Manager of Web Development, PennWell Corp.
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