Built for hybrid and multicloud complexity, IBM® Turbonomic® automates application resource management at scale with the precision required for performance assurance. It continuously optimizes compute, storage and network resources in real time while enforcing policies, giving IT teams the trust and control to operate with confidence.
Features
Turbonomic continuously analyzes applications, containers, VMs and infrastructure to map dependencies and resource flows. It surfaces risks before they impact performance and provides data-driven actions for workload right-sizing, capacity modeling and policy-compliant scaling decisions.
Turbonomic doesn’t stop at recommendations. It executes safe, policy-driven actions across hybrid and multicloud. From pod scaling in Kubernetes to VM placement in VMware, every action is auditable and enables IT teams to operate at enterprise scale without manual intervention.
Turbonomic aligns compute, storage, network and GPU resources with live demand to keep workloads within SLOs. By preventing resource contention, rebalancing workloads and right-sizing resources in real time, it assures consistent application performance under dynamic conditions.
Turbonomic addresses key IT challenges across hybrid and multicloud environments by applying real-time, application-aware automation. From private data centers to public cloud and container platforms, it ensures that resources are continuously optimized and managed for demand.
See how Turbonomic delivers real-world results
See how Hyland Software reduced existing spend on computing costs across AWS and its own datacenters, while maintaining service quality with Turbonomic.
Turbonomic integrates natively with cloud platforms, hypervisors, containers, APM and ITSM tools. It connects through REST APIs, Webhooks and scripts, including native Kubernetes support. Continuously optimize workloads without requiring changes to your existing application stack.
Want a full hands-on product experience without integrating your environment?
Find out how IBM Turbonomic can help to prevent performance bottlenecks, automate resource allocation and maximize efficiency.
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A simplified and cost-effective model that provides transparency and control over cloud and data center spend while optimizing workload performance, enabling organizations to automate resource optimization actions, reducing manual effort and operational costs.