GERMAIN APM FEATURES
Custom Monitoring, Analytics & Automation platform to boost UX.
- Automation
Use Automation to Boost UX, Process and Technology performance
Monitor BP, Find Insights, Alert & Automate Resolutions to improve Business Operations
Reduce cost of implementing automation
Improve UX via automation (alert, automatic data update, automatic transaction execution, etc).
Documentation
- Business Process Monitoring
Track Business Operations across Teams and Technologies, identify frictions and whether the cause is functional or technological
Proactively Monitor & Improve Business Processes
Monitor Processes end-to-end, even if spanned across multiple data sources
Identify issues before business gets affected
Watch users using your apps and talking to your clients
Identify Frictions at scale (Process flow analysis, event correlation, automatic diagnosis, etc).
Analyze Funnels at scale
Be Alerted when an issue occurs
Automate resolution of issues
or get all this from our cloud
Documentation
- Application Code Monitoring & Profiling
Real-time Analysis of C#, GoLang, Java, Javascript, NodeJS, (…) 24×7.
Deep dive within your App Code, in real-time, 24×7
Reduce cost of Application Release via automated code analysis and regression analysis
Reduce Troubleshooting Time (Automatic end-to-end code analysis and transaction tracing : Browser> Network > Web > App > Database)
Example of metrics you can get, in real-time and 24×7:
- Memory allocation, CPU cycle
- Threading performance
- Exception
- Browser Freeze
- Etc
Documentation
- Predictive Analytics
Effective data analysis to identify issues that will affect your Users, Processes or Technologies, if you don’t address them on time, real-time, 24×7.
Issue Prediction, real-time, 24×7
Reduce cost of implementing predictive analytics
Improve UX, Process or Technology performance via predictive and automated data analysis.
And then Alert your teams or apply automation.
Example of Smart Insights you can get, in real-time and 24×7:
Disk Usage is predicted to exceed 90% in a week from now
User Errors Volume has increased by 22.7% this monday compared with last monday
Sales Forecast predicted to be 70% accurate by month-end
eCommerce visitors predicted to be 40% higher by month-end
- etc
Documentation