Continuous automation assures performance and efficiency across hybrid and virtualized data center environments
Align resources to real-time demand so applications run reliably across workloads and clusters in your data center.
Automate workload placement and scaling to reduce manual effort while maintaining efficiency across complex environments.
Run scenarios to test workload growth, hardware refresh or migration plans and guide modernization with confidence.
Optimize host and cluster utilization to delay hardware refresh cycles and support hybrid modernization initiatives.
Rightsize workloads to reclaim unused capacity, lower operating costs and improve resource efficiency across your data center.
Apply optimization actions through ITSM workflows to align with governance and change management policies.
Optimize what you already own
Integrating with hypervisors and container platforms, Turbonomic automates VM placement, host evacuation and container resourcing in real-time. This method reduces manual intervention and ensures workloads run efficiently across clusters.
Turbonomic determines the optimal initial placement of new workloads, assigning them to the right host, datastore or cluster based on demand and policy. It then continuously analyzes real-time performance metrics to automatically scale workloads up or down. This ability ensures applications always have the right resources to meet their SLAs, while preventing overprovisioning and maximizing efficiency across your data center.
With historical utilization data and scenario modeling, Turbonomic simulates workload growth, hardware refresh and migration. IT teams can run “what-if” plans to assess performance impact and guide data center modernization.
Turbonomic connects to VMware vCenter, Nutanix AHV, Microsoft Hyper-V, Kubernetes and OpenShift. By unifying optimization across hypervisors and containers, it ensures consistent performance in heterogeneous data center environments.
Optimization actions can be integrated into ITSM workflows and change management pipelines. Turbonomic enforces business rules while automating execution, ensuring data center efficiency aligns with governance requirements.
Integrating with hypervisors and container platforms, Turbonomic automates VM placement, host evacuation and container resourcing in real-time. This method reduces manual intervention and ensures workloads run efficiently across clusters.
Turbonomic determines the optimal initial placement of new workloads, assigning them to the right host, datastore or cluster based on demand and policy. It then continuously analyzes real-time performance metrics to automatically scale workloads up or down. This ability ensures applications always have the right resources to meet their SLAs, while preventing overprovisioning and maximizing efficiency across your data center.
With historical utilization data and scenario modeling, Turbonomic simulates workload growth, hardware refresh and migration. IT teams can run “what-if” plans to assess performance impact and guide data center modernization.
Turbonomic connects to VMware vCenter, Nutanix AHV, Microsoft Hyper-V, Kubernetes and OpenShift. By unifying optimization across hypervisors and containers, it ensures consistent performance in heterogeneous data center environments.
Optimization actions can be integrated into ITSM workflows and change management pipelines. Turbonomic enforces business rules while automating execution, ensuring data center efficiency aligns with governance requirements.
Resources
Turbonomic starred in "Inside the Blueprint" on Bloomberg and FOX Business.
Yes. Turbonomic supports optimization across multiple hypervisors such as VMware, Nutanix and Microsoft Hyper-V; container platforms like OpenShift Virtualization and Kubernetes; and leading public clouds including AWS, Microsoft Azure and Google Cloud. This ability ensures consistent application performance and efficient resource use across hybrid, multicloud and diverse data center environments.
Yes. Turbonomic integrates with monitoring, orchestration and ITSM tools such as ServiceNow, vCenter, Kubernetes and public clouds. It works through standard interfaces including REST APIs, Webhooks and scripts, and provides native Kubernetes support. These integrations improve visibility and enable automated actions that align with your existing workflows.
By continuously rightsizing workloads and eliminating unused resources, data center optimization reduces overprovisioning and underprovisioning. This approach leads to lower operational and energy costs while deferring unnecessary infrastructure spending.
Turbonomic continuously analyzes workload demand and automates actions like scaling, placement and rightsizing to ensure reliable performance and efficiency across the data center. Unlike traditional tools that only provide alerts when issues arise, Turbonomic also generates actionable recommendations that users can execute manually or automatically.
Organizations using Turbonomic have reduced resource waste and licensing costs by up to 30% and assured application performance. Enterprises across industries have used it to delay infrastructure refresh cycles, reduce cloud costs, and improve service reliability.