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Turbonomic
Unlock peak application performance while cutting costs with Turbonomic; the leading Application Resource Management (ARM) solution that dynamically allocates resources in real-time boosting efficiency, minimizing cloud expense, and preventing downtime. Streamline your operations and fuel business growth effortlessly!
Intelligent automation and proactive resource management scale existing resources efficiently and ensure continuous application performance.
Built-in preemptive analytics help maximize resource utilization to minimize waste and boost ROI.
Dynamic resource allocation helps you continuously make the most out of your existing infrastructure while keeping costs under control.
Easy integration across on premises, public, private, hybrid and multicloud domains simplifies operations and boosts performance.
Turbonomic delivers continuously optimized application resource performance across hybrid multicloud environments.
See the whole picture
Gain a comprehensive view into the health of your IT infrastructure utilization and application performance with full-stack resource visualization from applications to containers to virtualization, enabling more accurate and cost-effective resourcing decisions.
Make better decisions
Leverage Turbonomic smart analytics engine to analyze the environment and proactively prevent bottlenecks and issues, making precise resource allocation recommendations in real time.
Free up valuable time
Proactively enhance application and infrastructure performance with automated resource optimization actions, maximizing resource utilization and reducing waste, and freeing your IT teams to focus more on innovation and less on repetitive tasks.
Across a broad range of industries, from farming to government, Turbonomic is helping clients increase ROI and improve performance.
decrease in cumulative memory limits, takes 45K automated resourcing actions per month
more idle GPU resources, 2x throughput without affecting latency
lower VMware licensing costs, 15% higher utilization
automated resourcing actions, USD 619K saved
*According to a Forrestor Total Economic Impact™ Study commissioned by IBM, January 2024