Monitor your Python applications in real time, drill down into call stacks, correlate transactions traversing your distributed environment, and diagnose performance bottlenecks while running in a live production or development environment. Auto-discovered business transactions, dynamic baselining, code-level diagnostics, and Virtual War Room collaboration ensure rapid issue identification and resolution to maintain an ideal user experience for any Python application, running on-premises or in the cloud.
Automatically discover application topology and interdependencies, correlate and trace key business transactions based on production application behavior
Visualize and prioritize the end-to-end business transactions performance, not just the health of the application and infrastructure nodes
Get in-depth application monitoring with detailed call graphs, leveraging Automated Code Instrumentation within minutes
Easily locate hot spots and slow methods within your application code, and drill down from transaction snapshots
Detect the errors and exceptions thrown by application components in real time
Fix the errors and proactively address the exceptions with policy-based actions with Runbook Automation
Visually understand how database performance is impacting your overall application
Diagnose issues and pinpoint the queries causing performance bottlenecks
Visually monitor your mobile and web user experience across the globe in context with your application performance through a single pane of glass
Rapidly identify the offending line of code in Python applications impacting the end user
Understand infrastructure resource consumption in the context of application performance and end-user experience
Automatically capture infrastructure snapshots in context with business transactions when performance degrades
In addition to the key features described above, you can enjoy all the other benefits provided by the AppDynamics platform, including self-learning platform, automated baseline of performance, intelligent alerting and health rules, ease of use, and more.
Eric Poon, Director of Operations Analytics, Nasdaq