Python Application
Performance Monitoring
Monitor Python end-to-end application performance - map and track metrics for business transactions - in the most complex, distributed environments.
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. Full support for popular frameworks including Flask, Django, and Pyramid, with APIs to manually instrument code for custom environments.
Get end-to-end visibility into your Python application environment and all the dependencies
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
Monitor applications at code-level depth with minimal overhead within minutes
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
Minimize application downtime with real-time detection of errors and exceptions
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
Manage performance of heterogeneous databases in context with your Python monitoring
Visually understand how database performance is impacting your overall application
Diagnose issues and pinpoint the queries causing performance bottlenecks
Understand end-user experiences across the globe with Python performance monitoring
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
Correlate your Python monitoring with underlying server infrastructure visibility
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 AppDynamics University, automated baseline of performance, intelligent alerting and health rules, ease of use, and more.
"It was simple to deploy. It took minutes, literally. On our first proof-of-concept, we saw results within an hour. "
Eric Poon
Director of Operations Analytics, Nasdaq
Resources
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What Is Application Performance Monitoring?
Responsible for the performance of your enterprise’s IT operations? Read this guide to find out if you could benefit from application performance monitoring (APM).
Cisco AppDynamics named a Leader in 2021 Gartner Magic Quadrant for 9th time
We believe our innovation in business analytics, regional Software-as-a-Service expansion and strong portfolio to drive full-stack innovation contributed to our mention in the report.
The Need for Next-Generation Application Performance Monitoring
Why legacy APM solutions can’t address the needs of complex distributed environments.