IBM Turbonomic Application Resource Management Managed Virtual Sever

Turbonomic Application Resource Management, formerly known as Turbonomic Application Resource Management for IBM Cloud Paks, employs artificial intelligence (AI) and automation to help organizations manage application performance, compliance, and cost across legacy and modern multicloud infrastructures. Turbonomic Application Resource Management provides analytics that dictate what actions to take to maintain optimal levels of application performance, and automates the execution of those actions. The solution monitors performance, helps make near-real time decisions, and applies the appropriate resources, at the right time, to maintain maximum levels of performance, all while helping to contain costs.

Using APIs, Turbonomic Application Resource Management helps discover applications, platforms, and infrastructure in the environment. It continually pulls resource data that is already exposed and sends the data to be processed by the software's AI-driven analytics engine. In near real-time, recommendations are generated to reduce infrastructure-related bottlenecks and help reduce time spent remediating issues.

In increasingly complex hybrid cloud and multicloud application and operating environments, intelligent automated software can make a critical difference in enabling organizations to manage an infrastructure more efficiently to maintain high levels of application and business performance. Turbonomic Application Resource Management gives organizations this advantage through automated, AI-driven multicluster management, event management, application management, and infrastructure management.

Turbonomic Application Resource Management matches resource demand to the underlying infrastructure supply by using an application management process modeled on the economic principles of supply, demand, and price. This helps reduce infrastructure costs by right-sizing an infrastructure based on application demand, helping to eliminate the need to overprovision as a means to reduce risk.