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In today’s IT market, optimal selection of public cloud services for applications is a daunting endeavor. While the allocation of insufficient resources for critical applications results in poor performance, overprovisioning leads to wastage of critical business dollars. To play it safe and not create an application issue, most IT teams decide to overspend by overprovisioning. The current global spend on public cloud services are at $68 billion and according to research firm IDC it will triple in the next three years. And studies have shown that up to 40 percent of this cost could be unnecessary spending.
Trying to get it right is humanly impossible to constantly match an application’s ever-changing resource demands with the best supply among millions of public cloud alternatives, many of which are being changed daily. Pick the wrong type, and the compute intensive app slows down to a crawl. Size for monthly peaks without using burstable instances, and the wasted resources triple the cost. Continue using dated generations and end up with poor performance and rising expenses.
Toronto based Densify is at the vanguard of providing groundbreaking predictive analytics software that allows applications to become self-optimizing of their resource requirements and dynamically match their needs to optimal cloud supply. “Our ultimate value proposition is to automate the selection of optimal cloud infrastructure, making applications self-aware and self-optimizing,” says Gerry Smith, CEO of Densify.
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