Learn more about how Turbonomic applies the economic principles of supply and demand to manage IT resources: making workloads SMART (Self-Managing, Anywhere, in Real Time), whether they're a VM, container, service, or function.
Launched in 2009, Turbonomic is one of the fastest-growing technology companies in the virtualization and cloud management space, trusted by thousands of enterprise organizations to maximize the value of their IT investments.
Turbonomic workload automation for hybrid cloud environments delivers enterprise organizations with automation that enables on-premises and public cloud to self-manage in real-time, thereby assuring application performance while lowering cost and maintaining compliance with business policies. The platform matches workload demand to infrastructure supply, helping customers maintain a continuous state of application health.
Customers such as AT&T, Travelport and Thomson Reuters, use Turbonomic to automatically assure that their applications always get the resources they need to operate reliably, while utilizing their most valuable infrastructure and human resources most efficiently.
Turbonomic differentiates from its competitors in its ability to provide:
- Full Stack Visibility and Actions from compute, storage, networking to VM to containers to applications, assuring workload performances.
- Holistic and Intelligent Optimizations, with highly coordinated and synchronized actions across provision, suspension, placement, resizing and RI options.
- Real-time Automation of the Decisions, Continuously optimized, beyond human scale.
- Unified Converge of Full Hybrid Estate, Covering both on-prem and public clouds, with optimized migration plans.
Turbonomic has earned close relationships with Microsoft, AWS, Cisco, and DXC precisely because they recognize our unique value and relevance in the marketplace. Our approach and the triad of assured performance, enforced business policies and efficient use of resources uniquely differentiate us in the market. The future of cloud optimization is clearly beyond human scale, and workload automation will be the obvious answer as the market matures over time.