IBM Turbonomic delivers real-time, full-stack resource optimization across cloud, containers, and on-prem environments. It automatically adjusts compute, storage, and network resources to prevent performance risks and reduce waste. Teams can right-size workloads, optimize Kubernetes clusters, and improve cloud efficiency across AWS, Azure, and GCP. With fewer incidents and better utilization, IT can shift focus to proactive growth and innovation.
This introductory video showcases how IBM Turbonomic transforms cloud and IT operations through intelligent automation. Learn how Turbonomic continuously analyzes resource usage across hybrid environments—VMs, containers, and cloud—and makes real-time decisions to optimize performance and reduce costs. Discover how automation you can trust leads to more efficient operations and better business outcomes.
This one-pager outlines how IBM Turbonomic enhances VMware environments by automating resource management to improve performance and efficiency. It details how Turbonomic continuously monitors virtual machine usage and makes real-time decisions to prevent performance risks, reduce waste, and eliminate the need for manual intervention—helping IT teams deliver reliable services at lower cost.
This one-pager explains how IBM Turbonomic optimizes Kubernetes environments for both performance and cost efficiency. It highlights how Turbonomic continuously analyzes container resource usage and automates decisions across the full stack—from pods to infrastructure—ensuring applications get exactly what they need, when they need it, without overprovisioning or manual tuning.
According to the Forrester Total Economic Impact™ study, organizations using IBM Turbonomic achieved a 247% return on investment over three years. They also reported a 35% reduction in public cloud costs and a 75% drop in application performance-related incidents. Read the full report to understand the financial and operational value Turbonomic can deliver.
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