Cloud Cost Optimization | Cloud Optimization - IBM
Smarter cloud cost management
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Overview:
Achieve up to 43% lower cloud costs, greater efficiency and improved resource utilization at scale, while assuring performance with IBM Turbonomic*
Cloud performance optimization
IBM Turbonomic continuously monitors real-time demand and automates optimization across AWS, Azure, Google Cloud and hybrid multicloud environments. It supports migration planning with what-if scenarios, proactive application resource management and policy-driven parking actions that safely stop idle workloads during off-hours. The result is reduced cloud spend, higher utilization and improved efficiency without compromising performance.
Features:
Client success stories
USD 400K
saved in just six months. Discover how Samsung SDS America automated rightsizing to cut manual work and improve performance.
43%
reduction in cloud costs within three months. Learn how Evides optimized resources and improved efficiency even as its cloud footprint grew 8%.
USD 650K
in annual savings through proactive automation. See how Komatsu optimized cloud resources and saved 33% on their server run rates.
Cloud compute optimization
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.
Cloud storage optimization
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.
Database optimization
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.
Kubernetes optimization
Turbonomic optimizes any upstream version of Kubernetes by rightsizing containers, moving pods, scaling clusters intelligently and planning containers.
Discounts optimization
Turbonomic provides specific, automatable compute scaling actions based on utilization so you can fully use existing discount inventory and maximize discount-to-VM coverage.
Workload parking automation
Turbonomic automates the stopping and starting of cloud workloads based on real-time demand through parking policies, smart parking and flexible parking schedules.
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.
Google Cloud Platform (GCP)
Match application demand to Google Cloud Platform’s configuration options continuously and in real time.
Amazon Web Services (AWS)
Optimize your environment by taking real-time demand into account when managing reserved instances inventory.
Microsoft Azure
Optimize Azure VMs, databases and volumes based on real-time demand with continuously generated actions.
Oracle
Coming soon: IBM Turbonomic integration with Oracle Cloud Infrastructure to assure performance across OCI environments.
Benefits:
Smart workload parking
Automatically pause idle cloud workloads during off-hours and align resources with demand to improve efficiency and reduce costs.
Assured application performance
Identify and eliminate bottlenecks by automating real-time resource allocation to assure consistent application performance.
Continuous optimization
Continuously optimize workloads across AWS, Azure, Google Cloud with vendor-agnostic automation.
Optimized workloads
Rightsize workloads before and after migration to improve efficiency and lower costs while maintaining application performance.
Automated resource management
Proactively mitigate performance risks and prevent overprovisioning by scaling resources automatically with no disruption.
Control of cloud costs
Analyze resource usage to save costs, maximize discount coverage and continuously optimize resources with automated actions.
Specifications:
Pricing Notes:
- All Prices are Inclusive of GST
- Pricing and product availability subject to change without notice.
Our Price: Request a Quote