IBM Turbonomic and Morpheus are leading contenders in the cloud management platform category. Based on comparison, IBM Turbonomic leans towards automation and resource optimization, while Morpheus benefits from strong integration and multi-cloud support.
Features: IBM Turbonomic offers automation, resource balancing, and capacity planning. It stands out with its forecasting tool and economic algorithms for right-sizing, optimizing IT environments. Morpheus supports multi-cloud management, with a centralized platform for cost optimization and strong integration capabilities, enhancing resource management across various cloud services.
Room for Improvement: IBM Turbonomic users seek improvements in user interface design, comprehensive reporting, and better third-party integration. There's a need for intuitive dashboards and a transition from Flash to HTML5. Users also desire improved documentation for complex features. Morpheus could benefit from a simpler user interface, more effective handling of complex virtual machines, and better integration with telco workloads. Attention to pricing complexity and feature usability is also requested.
Ease of Deployment and Customer Service: IBM Turbonomic provides support for on-premises and hybrid cloud deployments, with customer service and technical support often exceeding expectations. However, a post-acquisition shift in service quality is noted. Morpheus supports hybrid, private, and public cloud deployments, with user satisfaction in service support akin to IBM's offerings.
Pricing and ROI: IBM Turbonomic's flexible licensing options per socket or VM often deliver ROI within a year by optimizing server use, avoiding extra hardware expenses. Morpheus's pay-as-you-grow model based on VMs benefits smaller deployments, though it can become expensive as usage scales. Both products feature distinct pricing strategies catering to different user needs.
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.
Morpheus is a 100% agnostic cloud management platform (CMP) designed from the ground up to unify management of multi-cloud and hybrid IT while empowering DevOps teams with self-service provisioning of bare metal, VM, and container-based application services.
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