Artificial Intelligence to Predict Custom Java Business Application Issues across Hybrid IT
Enterprises need powerful full-stack analytics to manage business transactions’ KPIs and to guarantee business process SLAs. Without it, they will be forced to engage in extensive and complex trouble-shooting exercises to triangulate millions of data points. The time required to do so, can negatively impact the uptime and performance of key processes like eCommerce, Order-to-Cash, etc.
FixStream AIOps platform increases application uptime and performance via its full-stack business transactions monitoring. Through connectors to Application Performance Monitoring, FixStream provides auto-discovery of business transactions, and correlates it to application services and infrastructure, with an overlay of performance metrics.
Business and IT Operations KPI Dashboard
- Performance monitoring and management of all business transactions
- Transaction success and failure analysis
- Response time analysis with customizable thresholds
Business Transaction Performance
- Flow of business transactions across the application services layer
- Latency for each hop of the transactions
- Overall business transaction performance analysis
Business Transaction Failure Analysis
- Insight into failed transactions
- Ability to identify specific Java code in the JVM where the failure occurred, which can be passed to developers to fix.