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IBM Turbonomic is a performance and cost optimization platform for public, private, and hybrid clouds used by companies to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions.
IBM Turbonomic leverages AI to continuously analyze application resource consumption, deliver insights and dashboards, and make real-time adjustments. Common use cases include cloud cost optimization, cloud migration planning, data center modernization, FinOps acceleration, Kubernetes optimization, sustainable IT, and application resource management. By integrating with various cloud platforms, on-premise infrastructures, and containers, IBM Turbonomic provides a holistic view of the environment, ensuring that resources are allocated efficiently.
The solution is designed to support complex IT environments, offering actionable insights and automated actions that help IT teams proactively manage application performance and infrastructure resources. Turbonomic customers report an average 33% reduction in cloud and infrastructure waste without impacting application performance, and return-on-investment of 471% over three years.
IBM Turbonomic manages resources across hybrid and on-premises data centers to ensure efficiency and financial impact awareness. It automates resource allocation, balances memory dynamically, and provides robust performance metrics. Users benefit from its ability to prevent resource starvation and offer cost-saving recommendations through continuous management. Executive Dashboards provide insights for cost justification and resource management, making IT operations simpler with AI-driven automation and actionable recommendations.
What are the most important features of IBM Turbonomic?
What benefits should users look for in IBM Turbonomic reviews?
IBM Turbonomic is implemented across multiple industries, including finance for optimizing peak payroll processing, IT for enhanced virtual server management, and healthcare for reliable performance monitoring. Organizations benefit from its robust automation, ensuring maximum efficiency and cost savings.
Real-Time Continuous Cloud Compute Optimization.
Cloud Native Autonomous, AI-driven Performance Boost.
Organizations utilize the cloud for increased flexibility and fast growth but face growing cloud bills. Granulate is engineered for cloud-native and hybrid environments – providing significant cost reduction and performance optimization without any code changes.
Zesty is used for optimizing cloud infrastructure costs, automating resource scaling, providing real-time visibility into spending, and managing unused resources efficiently. It helps maintain budget control while scaling operations, making cloud deployment cost-effective.
Zesty offers a comprehensive approach to cloud cost management, focusing on real-time optimization, resource scaling automation, and spending visibility. Designed to reduce wastage and ensure efficient cloud operations, it integrates seamlessly with existing systems, providing detailed analytics and actionable insights. Users find Zesty's intuitive dashboard and effective cost-saving tools instrumental in maintaining budget control. However, improvements are needed in performance speed, functionality, and support responsiveness. Limited customization options and insufficient onboarding resources also present challenges for new users.
What are Zesty's key features?Zesty is implemented across industries that demand efficient cloud cost management and resource optimization. For tech companies, it streamlines scalability and supports rapid growth without ballooning costs. Financial services use it for budget control and to maintain operational efficiency. Educational institutions benefit from its ability to manage large-scale deployments economically. Each industry finds Zesty's automation and analytics crucial for staying competitive and maintaining lean operations.
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