Consulting Engineers & Cloud Architects

Consulting Engineers & Cloud Architects

Problems with the Traditional Approach

Service providers’ traditional: Custom approach to design and delivery of IT-infrastructure necessary to carry owners’ Intellectual Property IP and processes, has, over the decades, contributed to embodied operating inefficiencies for their businesses. 


Red Hat OpenShift

The inevitable result of custom, one-time engineered IP-infrastructure-outcomes meant that standardization and its inherent benefits were never attainable and therefore economies of scale simply became impossible to achieve. Leading to project  blow-outs in cost, time, risk and underutilization for both: Internal-IT and commercial service providers alike. Ultimately, relatively poorer service take-up and poorer customer satisfaction became the norm. To which we can all attest.

Collaborating with Consulting Engineers & Cloud Architects in:

Compiling Tender Specifications;
Assisting end-customers test-drive all appliances to find the right one(s) for their business via Laboratory as a Service LaaS ; and
Architecting both physical and virtual layers on either Hyperscale and Tier 1 Original architectures: Network, Storage, Compute, Converged and GP GPU infrastructure systems. 


Red Hat OpenStack

Service Providers’ Inefficiencies:

  • Cost – Inc. Capital + Energy-cost
  • Time – Inc. Custom-configuration
  • Risk - Inc. Non-Interoperability
  • Functioning | Performance
  • Underutilization
  • Retention of Skilled Staff
The above inefficiencies are all addressable simply through: Standardization | Automation | Economies of Scale 

Solving IT's Problem of Complexity

In solving Information Technology’s problem, of complexity, Hyperscalers has developed an IP-Appliance Design Process along with a utility being the Appliance Optimizer Utility. Together, they assist in the design, development and mass manufacturing of Standard IP-Appliances on Hyperscale AND|OR Tier 1 Original hardware architectures: Networks, storage, compute, hyper-converged and GP-GPU systems.


Tier 1 Original

The key objectives of the IP-Appliance Design Process include:

  • Adopt a set of best practices towards the design and development of standard IP-Appliances;
  • Efficiency gains in automating the bottlenecks-discovery across the entire stack using the Appliance Optimizer Utility;
  • Configuration of various hardware and software-infrastructure sub-systems in optimising the performance of the IP-appliance whole;
  • Performance benchmarking using null hypothesis statistical test analysis against historical test-results of comparable IP-Appliances already standardized; and
  • Economies of scale achieved in mass manufacturing efficiencies of standard IP-Appliances; and
  • Newfound: Delivery and operational-efficiencies and commercial potential.

Compared to the traditional: Custom, one-time engineered approach, Standard IP-Appliances offer service providers newfound: Operator-efficiencies and inherently end-user-efficiencies simply through standardization, automation and economies of scale. Enabling service providers, for the very first time, to deliver and or operate known IP-outcomes from any office, or any Datacenter floor, quickly, reliably and at a fraction of historical costs.

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