IBM Turbonomic is a performance and cost optimization platform for public, private, and hybrid clouds used by customers to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions. Common use cases include cloud cost optimization, cloud migration planning, data center modernization, FinOps acceleration, Kubernetes optimization, sustainable IT, and application resource management. 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. Ready to take a closer look? Explore the interactive demo or start your free 30-day trial today!
Cloud Reporter for System Center is a robust capacity planning solution for private clouds based on VMware and Microsoft’s Hyper-V. Plan for the future and meet your service level objectives, with the ability to predict when memory, processors and storage resources will be exhausted.
Veeam ONE, part of Veeam Availability Suite, provides a comprehensive monitoring and analytics solution for backup, virtual and physical environments. With support for Veeam Backup & Replication and Veeam Agents, as well as VMware vSphere, Microsoft Hyper-V and Nutanix AHV, Veeam ONE delivers deep, intelligent monitoring, reporting, and automation through interactive tools and intelligent learning, identifying and resolving real customer problems before they begin:
• Monitoring & Reporting: Achieve 24x7 real-time monitoring, reporting, and alerting for backup and virtual environments while avoiding downtime via timely notifications. Maintain compliance and meet service level objectives, evaluate backup infrastructure performance to ensure configurations meet best practices, and track, monitor and assign alarms to applications running in VMs.
• Capacity planning and chargeback: Gain visibility into the costs of compute, storage and backup repository resources to provide charge-back, forecast resource utilization trends and utilize built-in modeling and resource overcommit tracking to aid with forecasting.
• Intelligent automation and diagnostics: Employ built-in intelligence to identify and resolve common infrastructure and software misconfigurations via built-in intelligence and improve response times through.
