The IBM® Turbonomic® platform provides continuous optimization that you can safely automate in real time to help ensure your applications always perform while minimizing costs. This makes it an ideal platform for cloud operations and engineering teams adopting FinOps to improve their cloud cost management and get the most out of their cloud resources. FinOps, a portmanteau of finance and DevOps, is a cloud financial management discipline that aims to maximize business value in hybrid cloud and multicloud environments.
Unlike other optimization solutions, automation on the Turbonomic platform can be operationalized. This helps ensure that cloud, ITOps and FinOps teams achieve tangible outcomes, like cutting cloud spend by 33% and achieving 471% ROI over three years.1
No matter where you are in your cloud FinOps journey, the Turbonomic platform can help you strike a successful balance between customer experience, budget and sustainability goals.
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Optimize your cloud environment
Cloud cost optimization
Turbonomic software contextualizes cloud resourcing data and generates trustworthy resourcing actions across compute, storage and DBaaS that you can automate to continuously optimize cloud usage and reduce cloud bills. Turbonomic software also provides scaling actions based on historical utilization metrics, so you can take full advantage of your existing reserved instances inventory and committed use discounts, and maximize reservation-to-VM coverage.
Turbonomic software supports AWS, Azure and Google Cloud.
Kubernetes optimization
Continuous optimization, from apps to platform to infrastructure, unlocks cloud-native elasticity at every layer of the stack. With Turbonomic software you can minimize the labor and costs associated with Kubernetes and maximize your ROI.
Turbonomic software supports all upstream versions of Kubernetes including EKS, GKE, AKS and Red Hat® OpenShift®.
Data center optimization
Safely automate the resourcing of your virtualized and private cloud infrastructure to help ensure performance at the lowest cost. Key resourcing actions include continuous compute and storage placement, VM rightsizing, capacity management, supercluster optimization and more.
Cloud migration planning optimization
The Turbonomic platform’s data center optimization allows for more effective use of existing assets. Its application-driven planning capabilities determine which workloads are best suited for the cloud to help ensure efficient consumption immediately after migration.
PaaS optimization
Maximize the business value of platform as a service (PaaS) through dynamic scaling of Microsoft Azure App Service plans, Azure SQL and Amazon RDS database resources. Help ensure applications get exactly the resources they need while eliminating wasted database capacity and empty ASPs.
App-first, demand-based analysis helps ensure actions can be safely automated across major cloud providers, Kubernetes and on-prem VMware.
Safely automate and integrate with organizational pipelines and workflows. Deliver tangible results immediately and continuously.
Build trust with application developers and other stakeholders by accurately demonstrating the impact of dynamic resourcing on the performance of mission-critical applications.
Turbonomic software automatically determines the right resource allocation actions—and when to make them—to ensure your Kubernetes environments and mission-critical apps get exactly what they need to meet your SLOs.
Use the Turbonomic platform’s AI-powered automation, cloud cost optimization solutions and intuitive dashboards to continuously help ensure application performance (both traditional and cloud-native) and optimize costs.
The Turbonomic platform provides easy-to-use cloud migration planning that allows you to optimize your cloud services consumption from the start and simplify your cloud migration.
Footnotes
1 "The Total Economic Impact of IBM Turbonomic Application Resource Management,” Forrester, January 2022. Findings based on composite company results in a Forrester Total Economic Impact study commissioned by Turbonomic, an IBM company.