Azlan offers HPE Cloudline solution to European MSPs

Azlan is working with HP Enterprise (HPE) to offer the vendor’s latest Cloudline range of servers to managed services providers (MSPs) throughout Europe.

  • 8 years ago Posted in
The HPE Cloudline server portfolio is tailored to the needs of MSPs looking to build and operate massively-scaled data centres, proving both the power and open infrastructure to support efficient service delivery to large numbers of users. Offering stability, reliability, and flexibility, Cloudline servers provide a cost-effective platform that is ideal for fast delivery and demanding workloads.
 

It will be offering access to demonstration units and specialist pre-sales and technical support to service providers on the Cloudline range

 

Steve Cant, director, Enterprise, Infrastructure and Communications, Azlan, said: “HPE Cloudline servers have been built on an open design philosophy to increase adaptability and make integration easier. They offer an excellent core specification and are designed to be scalable and resilient. HPE also offers a fast turnaround on build-to-order, so they can be deployed at relatively short notice.

 

“MSPs are experiencing rapid and sustained business growth and they need the most stable platforms for their services. Many have been gravitating towards the ‘bare metal’ approach to server design and HPE Cloudline meets their needs exactly, providing design flexibility and tremendous scalability. We’ve been delighted with the response we have received from MSPs in Germany and look forward to leveraging our experience to benefit MSPs in our other European markets.”

 

The HPE Cloudline is built on the Open Infrastructure, based on Open Compute Project specifications. It provides open management tools, common industry interfaces and multi-vendor interoperability, as well as the ability to deliver, deploy and manage at scale. Several models are available with different designs suited to cloud, web caching and search workloads, providing affordable hosting and Big Data capability.

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