Turbonomic, an AI-powered network management software, optimizes IT infrastructure performance by analyzing real-time data and workload demand patterns. It automatically adjusts resources to ensure efficient allocation, preventing performance bottlenecks and over-provisioning across on-premises, cloud, and hybrid environments. Founded in 2008 by Shmuel Kliger and Yechiam Yemini as VMTurbo, the platform provides real-time workload monitoring, capacity planning, and forecasting future needs based on historical trends.
Turbonomic differentiates itself through its unique AI-driven decision engine that dynamically optimizes resources based on application demands. This results in enhanced performance and prevention of resource inefficiencies. Turbonomic's ability to manage diverse environments further sets it apart from competitors like VMware vRealize Operations, Cisco Intersight, SolarWinds, and BMC TrueSight. The platform’s comprehensive features for real-time workload monitoring and advanced capacity planning offer businesses a holistic solution for optimizing IT infrastructure.
Designed for IT professionals managing complex environments across various industries, Turbonomic helps maximize resource utilization for improved performance. Its autonomous optimization capabilities cater to IT administrators, network managers, system architects, and cloud operations teams looking to enhance efficiency while preventing bottlenecks. By leveraging Turbonomic's AI-powered technology for streamlined IT infrastructure management processes, organizations can achieve optimal resource allocation tailored to their specific application needs.
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