Request a quick quote now to know more
Along with the quick quote we will include our Pay per Use pricing list to let you calculate your total project costs. Alternatively
you can request us to contact you in order to compile a complete and customized proposal, meeting all your project needs.
Is Stackscale interesting for me?
To quickly determine if Stackscale is suitable for your project. Let us review our minimum architecture: A gifted 128GB of RAM environment where you can deploy tens of virtual machines. All its elements are redundant and fault tolerant: network, storage and computing, with a latency of access to disk array less 1 ms and 20 Gbps network access data. This type environment has an approximate cost of 450 euros per month.
Who is Stackscale for?
Stackscale is targeted to medium and large consumers of computing, storage and network resources. And all kind of IT integrators: Web/app hosters, eCommerce solution providers, managed services, social networks, BigData, VoIP, and virtually any IaaS, PaaS and SaaS provider, both Private and Public.
What is Stackscale?
Stackscale is a Infrastructure as a Service (IaaS) provider offering Private Cloud services. In our services the most important resources are of exclusive use by the customer and thus are highly protected against any activities performed by neighbouring customers. Both in security and performance guarantee terms.
Competitive pricing
Virtualization enables the use of computing and storage equipment more efficiently and thus achieving economic savings. But these savings are normally kept by Public Cloud providers. At Stackscale we aim to bring all the advantages of the virtualization to the customer. Giving them full control over CPU oversubscription, storage thin provisioning and inline compression. That combined with reasonable financial margins allow us to offer highly competitive prices in the market. Most of our customers achieve savings from 40% to 80%.
Stackscale can consolidate two full racks housing networking gear and servers in just two nodes
using network storage, reducing power usage by up to 95%
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