Rafay Systems Unveils Cost Optimization Suite to Proactively Tackle Growing Costs of Public Cloud and Private Data Center Environments
13 Agosto 2024 - 8:00AM
Business Wire
New Solution Offers Continuous Management and
Reduction of Costs While Reducing the Manual Toil of Traditional
Cost Management for Platform and FinOps Teams
Rafay Systems, the leading Platform-as-a-Service (PaaS) provider
for modern infrastructure and accelerated computing, today unveiled
its Cost Optimization Suite, to address the urgent challenge of
balancing modernization with the need to control infrastructure and
operational costs in increasingly complex cloud and on-premises
environments. The Cost Optimization Suite proactively reduces costs
rather than just reporting them — it continuously analyzes spending
patterns and automatically adjusts resources, eliminating
repetitive manual intervention. It empowers platform and FinOps
teams to focus on strategic initiatives instead of constant cost
management by directly optimizing Kubernetes, AI and cloud
resources in real time. Rafay customers report savings of up to 60%
when using the Cost Optimization Suite.
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The Rafay Cost Optimization Suite
(Graphic: Business Wire)
Today, Rafay also published its inaugural “Pulse of Enterprise
Platform Teams: Cloud, Kubernetes and AI” research study, which
focuses on the confluence of cloud, Kubernetes and AI in
enterprises. This report underscores the need for offerings such as
Rafay’s Cost Optimization Suite. Among other major takeaways, the
report reveals that the total cost of ownership for Kubernetes
(including software/support licenses, salaries of resources) is
higher than budgeted for/anticipated for almost a third of
organizations (30.8%). Moreover, nearly half of organizations
(44.5%) cite managing cost visibility and controlling Kubernetes
and cloud infrastructure costs as their top challenge.
“No enterprise wants to constantly monitor cloud costs and have
operations engineers intervene manually. They want applications to
only use the resources they need and they want unused
infrastructure to be scaled down if it's not being used,” said
Haseeb Budhani, CEO and co-founder of Rafay Systems. “Our Cost
Optimization Suite does exactly this for Kubernetes environments by
proactively making adjustments to per-application resource commits
and ensuring that the right policies are in effect to automatically
reduce infrastructure footprint based on need.”
Equipping FinOps and Platform Teams With a Multi-faceted
Approach to Controlling Expenses and Reducing Waste
By automating cost management processes, Rafay enables platform
and FinOps teams, and IT leadership to align cloud modernization
with the industry-wide cost reduction trends, while ensuring the
efficient use of cloud resources without constant manual
intervention.
The benefits extend beyond immediate cost savings, offering
improved visibility into cloud expense growth, reduced carbon
footprint and greater control over infrastructure expenses as
investments in AI/ML workloads accelerate. This automated approach
allows organizations to reinvest in initiatives including driving
business growth and enhancing customer experience, while
maintaining better control over cloud spending without the burden
of manual cost management.
“Managing cloud costs in the modern era shouldn't take a
tremendous amount of manual work,” said Mohan Atreya, chief product
officer at Rafay Systems. “With this new innovation, we're helping
to create an efficient, self-optimizing cloud environment for
businesses that delivers immediate and ongoing cost savings for
CPU- and GPU-based workloads.”
The Rafay Cost Optimization Suite offers more than simple cost
tracking, addressing significant gaps in cloud cost management
through comprehensive automation. It delivers the following
capabilities:
- Automatically monitor, rightsize and reduce
overprovisioning: Optimize cloud cost by detecting and fixing
resource allocation issues through intelligent policy-driven
controls for workload management. This ensures Kubernetes and cloud
resources are rightsized for better application utilization,
performance and cost efficiency.
- Eliminate zombie cloud resources and environments:
Implement automatic detection and cleanup of unused cloud
environments. Organizations can also 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: Create schedule policies to ensure persistent cloud
resources only run when needed (e.g., during weekdays). Policy
limits can be set to restrict the number of environments teams can
create simultaneously.
- Optimize cloud resource sharing: Improved sharing of
cloud and Kubernetes infrastructure allows multiple teams or
applications to utilize the same cluster resources, reducing the
need for separate clusters and thereby lowering overall cloud costs
by as much as 30%. This efficient resource utilization maximizes
cost savings by minimizing redundancy and reducing software add-on
licensing costs.
- Track historical consumption by workloads and teams:
Simplify chargeback and showback for multi-tenant Kubernetes
clusters, enabling efficient cost tracking and allocation.
Comprehensive tools and insights for managing usage provide
financial accountability for teams that share resources.
According to 2024 Gartner® How to Effectively Prioritize Your
Cost Optimization Initiatives, “75% of leaders who believe
optimizing costs is critical to their team’s success find it
difficult or extremely difficult to reduce costs without negatively
impacting business performance.” As per another Gartner report,
Control Cloud Costs With a FinOps Approach, “As organizations’ use
of cloud grows, the ability to monitor and manage resources often
fails to keep pace,” said Ken Rothenberger, senior director advisor
and David Wright, research director at Gartner.
The Cost Optimization Suite addresses ever increasing cloud
spend and cloud leader requirements by automating cost optimization
and management, minimizing the manual toil that’s typically
required by platform and FinOps teams for traditional cost control
methods. Rafay's offerings are already yielding significant cost
reduction benefits for customers. A leading commercial real estate
company achieved a 63% reduction in infrastructure costs by
leveraging Rafay.
The Rafay Cost Optimization Suite is now generally available.
The new solution, available as SaaS or self-hosted, applies to any
public or private cloud and any Kubernetes distribution, offering
versatile and flexible cost optimization across diverse
environments.
For more information or to start a free trial, visit
www.rafay.co
Additional Resources
- Sign up for a demo of Rafay’s enterprise PaaS for modern
infrastructure here
- Download a complimentary copy of Rafay’s full survey report
here
- Follow Rafay on X and LinkedIn
- Read the Rafay Blog: The Kubernetes Current
About Rafay Systems
Rafay’s mission is to liberate enterprises from the pains and
complexities of consuming modern compute infrastructure, allowing
them to channel 100% of their developers’ focus into innovation.
Companies such as MoneyGram, Guardant Health and MassMutual entrust
Rafay to be the cornerstone of their modern infrastructure strategy
and AI architecture. With Rafay, platform teams at these companies
enable developers and data scientists to access compute and AI
resources in record time, complete with essential guardrails for
security and governance. Gartner has recognized Rafay as a Cool
Vendor in Container Management and GigaOm named Rafay as a Leader
and Outperformer in the GigaOm Radar Report for Managed Kubernetes,
acknowledging our commitment to driving innovation. To join the
ranks of industry leaders who have unlocked the true potential of
cloud-native computing with Rafay Systems, please visit
www.rafay.co.
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Audrey Briers Bhava Communications for Rafay rafay@bhavacom.com
858-522-0898