Case Study
Autonomous Cloud Scaling at a Financial Organization
Optimizing Scaling for Business Growth The Company is a major global mutual fund and financial services organization, managing retirement funds, stocks, and other services for tens of millions of individuals, employers, and firms. The Company relies on a backend mainframe to support its business. The enterprise’s systems undergo substantial spikes in load each day as the trading market closes. To better handle these usage spikes, the Company implemented a solution that could horizontally scale application loads at set times while also accommodating unplanned spikes at other points in the day. If mainframe licenses and resources are left unmonitored and unmanaged, the system’s attempts to meet spikes in demand have the potential to overwhelm the mainframe with too many connection