Consumption-based Infrastructure Pricing: A Game Changer
Kaminario recently collaborated with Gartner on this special report discussing the potential for leveraging consumption-based pricing for building datacenter infrastructure.
Kaminario’s composable storage platform offers cloud application providers a solution for delivering the performance and capability of shared storage and the economic elasticity of the public cloud. This offering was designed to address the needs of our cloud-scale application provider customers – including SaaS providers, Consumer Internet applications, Cloud Service Providers, MSPs, and forward thinking enterprise IT organizations.
Cloud-First IT Strategies
IT has been transformed by modern cloud technologies. SaaS is dominating the enterprise software market. Certain workloads, like file sharing and backup, are quickly moving to public cloud-based services. Wherever possible, enterprise IT organizations are minimizing their datacenter footprint, leveraging external service providers, and getting out of the business of owning their own datacenter infrastructure.
While SaaS and IaaS offerings make sense for many enterprise IT use cases, critical applications often benefit from dedicated, optimized private cloud infrastructures maintained on premises, or in shared colocation facilities. While private clouds leverage dedicated infrastructure, software-oriented solutions with consumption-based pricing can deliver the elastic economics of the public cloud. The ability to scale up and scale down as IT demands change enables businesses to better match infrastructure expense with the value they deliver and the revenue they generate.
Utility Pricing for IT Technologies
The concept of utility pricing for IT infrastructure has been around for years. Traditional hardware solution providers have built secondary businesses based on financial services for their customers. Exotic leases and other financial engineering instruments can transform capital expense into operating expense. The drawback with these approaches is the complicated bundling of financing costs with the hardware, software, and support components of modern datacenter technologies. Storage technology in particular has proved difficult to create transparent and economically efficient consumption-based pricing that is as simple as the public cloud offerings.
Kaminario’s Take on Composable
Kaminario’s software-based platform lets cloud-scale application providers build enterprise-class, all-flash infrastructures based on industry standard “whitebox” hardware. Kaminario’s composable storage technology can seamlessly scale up and scale out as software-driven businesses grow. Named a leader in Gartner’s 2018 Magic Quadrant for Solid State Arrays, Kaminario also received the highest ranking for Analytics and High Performance Computing in Gartner’s 2018 Critical Capabilities Report.
Kaminario is differentiated from traditional storage technologies in its complete disaggregation of software from the hardware it runs on. This disaggregation supports economically efficient consumption-based pricing for Kaminario’s software platform that can span any number of infrastructures across any number of datacenters. With Kaminario customers can scale up and scale down in line with actual capacity usage. Completely unbundled from software, certified hardware is available through a global distribution network.
The Power of Consumption-based Pricing
True consumption-based pricing can deliver the economic elasticity of the cloud for private cloud infrastructure. Research from Gartner provides guidance on best practices for evaluating and getting the most from consumption-based infrastructure. They advise IT organizations to ask their technology providers, “How are all programs really structured, and what is meant by consumption or usage basis?”
Combining world-class technology capability with the pricing flexibility of the cloud allows a new generation of cloud-scale application providers to optimize their IT strategy for economic efficiency, scalability, and functionality.