Diagnose, remediate, and correlate application performance to business outcomes. Unlock the power of machine learning to accelerate diagnostics, activate AI-powered root cause analysis, and deliver a world-class end user experience.
Cognition Engine uses machine learning to automate anomaly detection and dramatically reduce mean time to resolution (MTTR) for instant root-cause analysis. Correlate software and business performance in seconds and take action on performance problems in real-time-- without having to configure a single health rule.
Drive IT domain awareness by using advanced ML to correlate software and business performance
Automatically construct performance baselines and alerts instead of manual management of static thresholds
Leverage applied machine learning algorithms to automatically discover anomalies and broken correlation across millions of datasets
Mitigate the impact of performance issues on the customer experience with automated alarm correlation to specific Business Transactions
Create a common language around health baselines and alerts to drive anomaly detection and prioritize code development
Decrease MTTR with anomaly detection and AI-powered root-cause analysis
Using ML models, Anomaly Detection automatically learns what’s considered healthy for your application so that you don’t have to manually configure health rules
Get alerts for key Business Transactions to deliver swift diagnostics, root-cause analysis, and remediation down to the line of code, function, thread, or database causing problems
Analyze metrics and their associated behaviors to evaluate the health of the entire Business Transaction.
Automate remediation to prevent performance issues from impacting end users
Reduce MTTR from minutes to seconds by automating the knowledge of exactly where to respond and when to initiate a performance fix
Understand the contextual insights about application and business health, predict performance deviations, and get alerts before serious customer impact
Self-learning agents take full snapshots of performance anomalies—including code, database calls, and infrastructure metrics—making it easy to determine root-cause
Understand how application performance drives the customer journey from start to finish
Use automated topology to trace interactions and view them in dynamic visual flow maps as they propagate in your infrastructure
Analyze and learn from data instantly to fuel faster decision-making
Move away from manual configuration and maintenance of health rules