Nkia

The best company specialized in developing IT operation management solution in Korea

WAS monitoring solution enables continuous IT service through individual transaction and user-centric response time monitoring to WAS.

Stability and excellence of the verified product
- Stability and excellence of the product verified through deployment of large site monitoring system such as National Information Resources Service, Defense Integrated Data Center, LGCNS IDC, Shinsegae IDC and more.
- GS Certified Solution
- Winners of various awards such as Grand Prize Winner of Korea SW Company Competitiveness, SW division award winner, etc.
User-Friendly UI
- Provide maximum convenience by enhancing user-driven configuration and management functions through flexible UI which matches users’ characteristics
Cluster Structure for High Availability
- Add clusters with simple configuration when Scale-out of AP is required due to increase of monitoring devices
- Architecture structure which can be extended and modularized by supporting clustering-based 3-Tier structure
- Failure of a specific AP among clustered APs does not affect the operation of the entire monitoring system.
Equipped with large size data processing engine
- Apply NoSQL-based large size processing engine (ElasticSearch)
- Possible to process in real time large size data accumulated for statistics, event logs, and real-time performance
End-To-End Monitoring through WebAPM connection
- Measure haptic response time of the user by monitoring performance failure factors (bottleneck?) between WASs in the browser. / Provide diversified analysis information when analyzing causes of failure of web service

Monitoring application services	Monitoring services running in real time Real-time throughput and average response time Response time distribution chart of real-time transaction SQL processed status and files/sockets status executed by the service List of running applications Analyze application process status and service status through response time distribution chart Trace the cause of application process delay by analyzing call tree of the application responding slowly
Failure Diagnosis and Analysis	Analyze the cause of failure through stack trace and transaction call tree check at the moment of failure occurrence. Provide information of the application with failure through exception and error status statistics Record and post-analyze WAS operation status when failures occur through service dump Track not-returned JDBC connection
Resource Monitoring	Monitoring JDBC connection status JVM process CPU utilization, heap memory usage Monitoring files and socket use status Monitoring memory-intensive collection objects
Event (WAS Log) Management Function	Define severity and message filtering based on sources such as WAS logfile, etc., and the collected events monitor the status of managed system.