The powerful mechanisms that make AppDynamics solutions the smart choice for monitoring application and business performance.
The powerful mechanisms that make AppDynamics solutions the smart choice for monitoring application and business performance.
iQ-driven performance
Real-time visibility and business visibility in conjunction with actionable insights drive winning customer experiences. Six highly intelligent performance engines – called iQs – lend specific talents to application performance solutions – and their digital transformation.
iQ Map
Understand every step of your customers' journey through the digital ecosystem.
Map iQ helps you clearly see and understand the customer journey, enabling monitoring solutions to dynamically create and update visual flow maps. Everything is revealed in the form of Business Transactions, the patented system that automatically discovers, intuitively names and tracks interactions as they spread across your infrastructure.
baseline iQ
Be alerted when things aren't.
Before you can accurately recognize performance issues, you need to recognize the standard. Baseline iQ enables monitoring applications to automatically establish dynamic baselines of their transactions and business metrics – automatically configured with self-learning rather than static boundaries. Health rules are automatically created to trigger alerts when a baseline bypass is observed, allowing you to proactively investigate issues before users are affected.
Diagnostic IQ
Deep diagnostic features with low overhead allow you to watch everything in production.
Diagnostic iQ isolates and resolves production application performance issues more efficiently by monitoring each line of code while activating deep diagnostic capabilities when performance fluctuates. Low overload agents use patented algorithms and self-learning capabilities to distill data into what's important. So when problems occur, they go deep. Full snapshots, including code, database calls, and infrastructure metrics, are captured and correlated, making it easier to determine the root cause.
System requirements
RHEL 6. 7.x xe
CentOS 6 and 7
Ubuntu 14 and 16
SUSE 12
Windows Server 2008 R2
Windows Server 2012 and 2012 R2
Windows Server 2016
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