How Turbonomic WorksA Common Data Model. An Economic Decision Engine. Hybrid Cloud, Meet Your Match.
Turbonomic’s Workload Automation for Hybrid Cloud
Turbonomic helps customers monitor and automate their workloads on-premises and/or in a public cloud. It makes the right workload placement and scaling decisions at the right time, unleashing the full potential of hybrid cloud elasticity.
Common Data Model—the Market: Turbonomic abstracts workloads (applications, VMs, containers), compute, storage, network, fabric, etc. into a common data model, a market of buyers and sellers of resources.
Analytics—the Economic Scheduling Engine: This decision engine applies the principles of supply, demand, and price to the market. Entities price their resources based on utilization levels. As utilization of a resource increases so does the price. The analytics ensure the right resource decisions are made at the right time.
Mediation—Any Workload, Any Infrastructure: Turbonomic works for any workload on any infrastructure or cloud. The data center and cloud stack fundamentally operates as a supply chain of buyers and sellers. Applications get resources from VMs, which in turn get resources from hosts, storage, network, fabric, etc. Any new technology can be added to the stack through Turbonomic’s mediation component.
It’s Your Hybrid Cloud. We Just Make It Easier (and Better).
Turbonomic makes the right placement, sizing, and start/stop actions to assure application performance, while maximizing efficiency and ensuring compliance in real time. Let software make sure workloads get the resources they need, when they need them. Your teams and the business will thank you.
Technology-Agnostic = Future-Proof
The common data model—the market—is a technology-agnostic abstraction that enables seamless integration of Turbonomic with any layer of the stack. New elements are easily added to the market, including emerging approaches that align with existing development, deployment and operational processes.
Challenging Traditional Virtual & Cloud Paradigms
This white paper discusses the economic abstraction of virtual and cloud environments, which enables software to address both the complexity and scale that today challenges application performance.
Download White Paper