Automation ushers in a new chapter of monitoring
“Our business environment changed dramatically and the old operational management system was not powerful enough to cope,” says Kazuhisa Matsumoto, director of IDCF’s cloud engineering division at the cloud engineering general headquarters. With IDCF’s legacy system, teams needed to manually determine which customers were impacted and how to contact them, which was very time consuming. This became a bigger issue as the number of systems increased — teams struggled to navigate a tremendous volume of alerts and issue a prompt response.
With Splunk, IDCF teams automatically aggregate and analyze alerts from multiple systems, streamlining and expediting the initial failure response process. Teams are quickly able to identify impacted systems, notify customers and escalate issues to relevant departments. The Splunk solution has also made budgeting far more straightforward with a pricing model based on data volume rather than on number of managed nodes, which fluctuate by the day.
Splunk ITSI also supports IDCF’s rapid growth, using machine learning to streamline alert resolution so teams can predict, detect and resolve incidents all from one place. And with the Splunk professional services team helping IDCF develop bespoke search processing language to handle alert messages from multiple sources, the company is supported as it grows to meet future needs.