Directory Observability & MonitoringIBM Turbonomic

IBM Turbonomic

Funded

Automated application resource management for hybrid and multicloud environments

About IBM Turbonomic

IBM Turbonomic is an application resource management platform designed to optimize performance and cloud costs across complex hybrid and multicloud IT infrastructures. It continuously analyzes applications, containers, virtual machines, and infrastructure components to map dependencies and resource flows, providing real-time, data-driven actions for workload right-sizing, capacity planning, and policy-compliant scaling. The platform automates resource management by executing safe, policy-driven actions such as pod scaling in Kubernetes and VM placement in VMware, enabling IT teams to operate at scale without manual intervention.

Targeted at enterprise IT organizations managing dynamic and distributed environments, Turbonomic assures consistent application performance by aligning compute, storage, network, and GPU resources with live demand. It addresses critical operational challenges including data center optimization, Kubernetes cost management, cloud performance optimization, AI workload scaling, and cloud migration planning. By preventing resource contention, forecasting capacity needs, and eliminating overprovisioning, Turbonomic helps enterprises reduce operational risk, maximize resource efficiency, and maintain service level objectives (SLOs) across private data centers and public clouds.

Key Capabilities

✓Real-time application-aware resource optimization
✓Automated workload right-sizing and scaling
✓Hybrid and multicloud infrastructure management
✓Policy-driven automation with auditable actions
✓Capacity forecasting and cloud migration planning

Integrations

KubernetesVMwarePublic Cloud Providers

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