Turbonomic Application Resource Management for IBM Cloud Pak for Multicloud Management - Software Subscription and

IBM has partnered with Turbonomic to offer Turbonomic Application Resource Management for IBM Cloud Pak for Multicloud Management. The unified solution 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 for IBM Cloud Pak for Multicloud Management provides analytics that dictate what actions to take to maintain optimal levels of application performance, as well as automate the execution of those actions. The solution monitors performance, makes near-real time decisions, and applies the appropriate resources at the right time to maintain maximum levels of performance, all while containing costs.

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 the highest levels of application and business performance. Turbonomic Application Resource Management for IBM Cloud Pak for Multicloud Management can give organizations this advantage through automated, AI-driven multicluster management, event management, application management, and infrastructure management.

The solution can help reduce infrastructure costs by right-sizing an infrastructure based on application demand, eliminating the need to overprovision to reduce risk. By continually monitoring applications and providing the resources they need in near real-time, the solution can reduce the number of infrastructure-related bottlenecks and time spent remediating issues.

Turbonomic Application Resource Management for IBM Cloud Pak for Multicloud Management works by using APIs to discover applications, platforms, and infrastructure in an organization's environment. It pulls resource data that is already exposed and sends the data to be processed by the software's AI-driven analytics engine. Using an application management process modeled on the economic principles of supply, demand, and price, it matches resource demand to the underlying infrastructure supply.