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ITOA

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01What is “IT Operations Analytics”?

ITOA is a technology that provides analysis results that help predict anomalies as well as ensure the stable and smooth operation of the entire system by applying big data analytics to large datasets that can extract business information to identify and learn complex patterns”. (2017, K-ICT Cloud Innovation Center)

MoAdata’s PETAON Forecastercollects & integrates performance metrics & log data for various systems.

Performance Items
Category Performance Items
System CPU, Memory, Disk Usage, Swap Memory, Load Average (1/5/15 mins), etc
Network Inbound/Outbound Traffic(BPS, PPS), Inbound/Outbound Error, Inbound/Outbound Drop, Collision, etc
Custom Defined Process CPU, Memory, Disk Usage, Process Status, Read/Write I/O
Process Number of Processes, Threads, Zombie Processes, etc
Etc I/O Latency, Number of Virtual Pages, Buffer Size, Cache Size, Interrupt, etc.
Log Items
Category Log Items
Kernel Operating System Kernel Log
WEB Web Server Log (Apache, Webtob, etc)
WAS WAS Server Log (Tomcat, Weblogic, JEUS, etc)
DB DB Server Log (Oracle, MySQL, MS SQL, etc)
App Various applications’ Log
HW HW Event related Log

In addition, PETAON Forecasternot only stores various indicators (performance indicators) and logs (hardware, software) collected from operating ICT infrastructure in big data storage devices through collection and classification procedures, but also provides failure prediction and root cause analysis through Artificial Intelligence engines.