GPU/Neocloud Billing using Rafay’s Usage Metering APIs
Cloud providers offering GPU or Neo Cloud services need accurate and automated mechanisms to track resource consumption.
THE RAFAY PLATFORM
Cloud Cost Optimization
With the Rafay Platform, continuously analyze usage and spending and automatically adjust resources to eliminate the manual toil of cost management for cloud-native and AI infrastructure.
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What is the Cost Optimization Suite?
Higher cloud usage doesn’t have to lead to high cloud costs.
The Rafay Platform's Cost Optimization Suite drives lower soft and hard dollar cloud costs by automatically reducing
Kubernetes and cloud resource waste without constant manual intervention. In addition, the Rafay Platform enables
platform teams, FinOps, and IT leadership to align and meet cost management goals, while promoting
spending accountability across the enterprise.
Automatically monitor, rightsize and reduce overprovisioning
Optimize cloud cost by detecting and fixing resource allocation issues through intelligent policy-driven controls. This ensures Kubernetes and cloud resources are rightsized for better application utilization, performance and cost efficiency.
Eliminate zombie cloud resources and environments
The Rafay Platform can automatically detect and clean up cloud environments that are no longer in use, and automatically enforce policies to ensure that resources provisioned for short term needs are freed after preset time-to-live (TTL) limits.
Enforce policies to control when and how environments run
With the Rafay Platform, cloud teams can set schedule policies to ensure that persistent cloud resources only run when they are needed (for example, during weekdays). Policy limits can be set to restrict the number of environments teams can create simultaneously.
Easily share and secure multi-tenant clusters
Improved sharing of Kubernetes clusters allows multiple applications to utilize the same cluster resources, reducing the need for separate clusters, deceasing software add-on licenses and lowering overall cloud costs by as much as 30%. Robust tools ensure isolation, compliance, and optimal performance in multi-tenant environments.
Seamlessly share valuable GPUs across multiple projects
By utilizing GPU resources more efficiently with capabilities such as GPU virtualization and time-slicing, enterprises reduce the overall infrastructure cost of AI development, testing and serving in production.
Track historical consumption by workloads and teams
The Rafay Platform simplifies chargeback and showback for multi-tenant Kubernetes clusters, enabling organizations to track and allocate costs efficiently. Comprehensive tools and insights for managing usage provide financial accountability for teams that share resources.
What do platform teams get with the Cloud Cost Optimization?
Reduce Cloud OpEx
Wasted infrastructure resources lead to higher cloud bills. Our automated workflows ensure applications and the infrastructure on which they run are always right sized, reducing cloud costs and carbon footprint.
Cloud Cost Predictability
Lack of visibility and shadow IT practices can make it difficult to see how expenses are trending. Policies and reporting enable better forecasting of cloud expense growth and impact on business finances.
Invest in Growth
When you save money, your opportunities open up. Increasing cloud efficiency grants the flexibility needed to invest in initiatives that increase productivity and innovation.
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See for yourself how to turn static compute into self-service engines. Deploy AI and cloud-native applications faster, reduce security & operational risk, and control the total cost of Kubernetes operations by trying the Rafay Platform!
