Achieve up to 43% lower cloud costs, greater efficiency and improved resource utilization at scale, while assuring performance with IBM Turbonomic*
TBM Conference 2025 – Assure Performance & Control Costs with Turbonomic
Join us at the TBM Conference, November 10 – 12, 2025 in Miami, Florida. Discover how Turbonomic helps assure application performance and optimize hybrid cloud costs through intelligent automation.
Automatically pause idle cloud workloads during off-hours and align resources with demand to improve efficiency and reduce costs.
Identify and eliminate bottlenecks by automating real-time resource allocation to assure consistent application performance.
Continuously optimize workloads across AWS, Azure, Google Cloud with vendor-agnostic automation.
Rightsize workloads before and after migration to improve efficiency and lower costs while maintaining application performance.
Proactively mitigate performance risks and prevent overprovisioning by scaling resources automatically with no disruption.
Analyze resource usage to save costs, maximize discount coverage and continuously optimize resources with automated actions.
Optimize your cloud environment
Turbonomic automatically selects the right virtual machine (VM) instance type for each workload by analyzing CPU, GPU, memory, network, storage I/O, throughput, pricing and discounts, disk count, quotas, and available regions. It is the only cloud compute optimization that scales with full awareness of IOPS and discounts.
Turbonomic analyzes throughput and IOPS demand to select the optimal storage solution for each disk. It scales within and across tiers, resizes volumes, adjusts IOPS or throughput capacity, and safely removes unattached storage. Scale volumes to improve performance, delete unused disks and always use exactly what you need.
Take advantage of platform as a service (PaaS) more completely when you can scale Azure SQL and Amazon RDS database resources exactly when the application needs them, without paying for unused database capacity.
Turbonomic optimizes any upstream version of Kubernetes by rightsizing containers, moving pods, scaling clusters intelligently and planning containers. The intuitive container platform dashboard displays performance, capacity and health of the infrastructure, offering insights into top container platform clusters for health assessment and risk sorting.
Turbonomic provides specific, automatable compute scaling actions based on utilization so you can fully use existing discount inventory and maximize discount-to-VM coverage. Turbonomic automatically ingests and displays negotiated rates and helps you capitalize on savings opportunities.
Turbonomic automates the stopping and starting of cloud workloads based on real-time demand through parking policies, smart parking and flexible parking schedules. Parking policies define which workloads can be paused or restarted, while smart parking analyzes utilization trends to identify the right time to act. Schedules can be customized to align with business hours or demand cycles. Together, these capabilities manage workload availability, optimize uptime and reduce unnecessary cloud spend without manual intervention.
Turbonomic automatically selects the right virtual machine (VM) instance type for each workload by analyzing CPU, GPU, memory, network, storage I/O, throughput, pricing and discounts, disk count, quotas, and available regions. It is the only cloud compute optimization that scales with full awareness of IOPS and discounts.
Turbonomic analyzes throughput and IOPS demand to select the optimal storage solution for each disk. It scales within and across tiers, resizes volumes, adjusts IOPS or throughput capacity, and safely removes unattached storage. Scale volumes to improve performance, delete unused disks and always use exactly what you need.
Take advantage of platform as a service (PaaS) more completely when you can scale Azure SQL and Amazon RDS database resources exactly when the application needs them, without paying for unused database capacity.
Turbonomic optimizes any upstream version of Kubernetes by rightsizing containers, moving pods, scaling clusters intelligently and planning containers. The intuitive container platform dashboard displays performance, capacity and health of the infrastructure, offering insights into top container platform clusters for health assessment and risk sorting.
Turbonomic provides specific, automatable compute scaling actions based on utilization so you can fully use existing discount inventory and maximize discount-to-VM coverage. Turbonomic automatically ingests and displays negotiated rates and helps you capitalize on savings opportunities.
Turbonomic automates the stopping and starting of cloud workloads based on real-time demand through parking policies, smart parking and flexible parking schedules. Parking policies define which workloads can be paused or restarted, while smart parking analyzes utilization trends to identify the right time to act. Schedules can be customized to align with business hours or demand cycles. Together, these capabilities manage workload availability, optimize uptime and reduce unnecessary cloud spend without manual intervention.
What we support
The IBM Turbonomic platform supports a wide range of public cloud providers, including Microsoft Azure, Amazon Web Services (AWS) and Google Cloud Platform (GCP). It also supports the integration of workflows that leverage GitHub, Slack, Terraform, Ansible, OpenShift Virtualization and more.
Match application demand to Google Cloud Platform’s configuration options continuously and in real time.
Optimize your environment by taking real-time demand into account when managing reserved instances inventory.
Optimize Azure VMs, databases and volumes based on real-time demand with continuously generated actions.
Coming soon: IBM Turbonomic integration with Oracle Cloud Infrastructure to assure performance across OCI environments.
Resources
Turbonomic starred in "Inside the Blueprint" on Bloomberg and FOX Business.
How Turbonomic addresses common cloud challenges
IBM Turbonomic continuously analyzes workload demand and automates resource allocation across compute, storage and databases. This ensures applications get the resources they need while eliminating waste and unnecessary costs.
With Turbonomic, VMs are automatically matched to the correct instance type based on metrics such as CPU, memory, storage IOPS, throughput, pricing and discounts. This eliminates guesswork and ensures performance at the lowest cost.
Most solutions focus only on reducing cloud costs. IBM Turbonomic continuously optimizes both cost and application performance, automatically rightsizing, scaling and parking resources so workloads always get what they need without overspending.
Turbonomic continuously enforces performance-aware optimization. By rightsizing, scaling, and parking workloads automatically, it eliminates cost overruns without disrupting application performance.
The analytics engine of Turbonomic automatically ingests and displays negotiated rates with public cloud providers. It then generates specific reserved instance purchasing and scaling actions, so you can take full advantage of existing discount inventory and maximize discount-to-instance coverage.
Footnotes
*According to a Evides case study, created by IBM.