IBM Turbonomic and CloudCheckr are notable players in the cloud and IT optimization category. IBM Turbonomic holds the advantage due to its focus on automation, forecasting, and resource utilization enhancement, while CloudCheckr excels in cost management and reporting.
Features: IBM Turbonomic offers automation, real-time optimization, and scenario planning, highly regarded for its data-driven forecasting and VM rightsizing capabilities. It facilitates automated resource balancing, thus improving efficiency and utilization. CloudCheckr is known for its intuitive user interface, extensive cost management features, and detailed reporting and billing tools.
Room for Improvement: IBM Turbonomic users expect a more user-friendly interface, specifically requesting an HTML5 update, and enhanced reporting customization for easier configuration. CloudCheckr users report performance issues during large data processing and desire improved integration with non-AWS platforms. Both products could benefit from refining user interaction and reporting features to align with diverse user requirements.
Ease of Deployment and Customer Service: IBM Turbonomic is praised for straightforward deployment in on-premises environments and responsive customer service that engages proactively. In contrast, CloudCheckr is noted for strong service within public cloud environments, though some users highlight concerns over response times and complexity in matching Turbonomic's efficacy.
Pricing and ROI: IBM Turbonomic is appreciated for delivering a significant return on investment, particularly within large enterprises, through resource optimization and reduced cloud spending. Its pricing structure supports quick ROI achievement. CloudCheckr's pricing is competitive, aligning with peers, but lacks notable mentions of ROI in reviews, focusing instead on its affordability.
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.
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