Are you considering choosing between Hyperscale and Multicloud? Do you want to ensure that you make the right choice? Then, this post is just for you as it offers a detailed comparison between Hyperscale and Multicloud. Although many people think that buying cloud services is simple, it is far from the truth. On the other hand, educated buyers know just how crucial it is to explore all possible options such as Hyperscale and Multicloud. Moreover, it is important to select the environment which would help maximize application performance through the optimization of the cloud servers.

Generally, the best approach to this is to lead a hybrid IT and complex Multicloud environment which consists of co-located infrastructure, on-premises, private hosted clouds, and Hyperscale clouds. The secret to Multicloud success is selecting the right IT infrastructure depending on the specific situation. Cloud VPS should be used in the best possible manner.

Best Execution Venue (BEV) Approach

A Best Execution Venue approach should be taken when it comes to workload placement. It starts out with applications analysis to determine the cloud that would best work for each individual application. Hyperscale and Multicloud are the two main types of applications which work best for an enterprise cloud environment.

Smart Applications for Dumb Hardware

Applications which are known to perform well in a Hyperscale cloud are commonly referred to as smart applications that run on dumb hardware. The thing about smart applications is that they are newer applications which have been developed for a specific Hyperscale cloud infrastructure. The smart applications are written for leveraging specific features of the Hyperscale cloud in order to protect the application from any type of malware attack, network problem, or hardware failure.

Tens of thousands of servers are used for creating the Hyperscale cloud. This over-subscription model is termed as dumb hardware as it does not have the capability for protection the application. Thus, it is the smart application that handles all of the resiliency and high availability on the dumb hardware. Hence, a Hyperscale cloud is the best option where smart applications are needed for dumb hardware.

Hyperscale was traditional meant for the combination of public and private cloud infrastructure. Orchestration tools were used for the deployment of workloads and to manage balancing the two. For instance, it meant employing public cloud resources in order to meet the storage requirements or to deal with episodic bursts of storage issues.

When Should Hyperscale Be Used?

A Hyperscale cloud option should be used for running virtual machines. Google Cloud Platform, Azure, and AWS are the main Hyperscale providers. Hence, Hyperscale is a great option when the organization gravitates towards the alignment with the existing environment. For example, if an organization already uses Microsoft products, then, it would be more likely to use Azure to avoid headaches to IT operations and to provide a better experience. In the beginning, AWS was preferred by the open source development community. It now also supports Windows development environments.

If you are considering Hyperscale, the following factors should be considered.

  • Geographic Availability
  • Skill-Set
  • Economics
  • Regulations
  • Additional Services
  • Pricing
  • Availability
  • Scaling
  • Application Architecture
  • Unique Offerings


On the other hand, Multicloud has a more strategic emphasis. It is used by corporations that require multiple cloud providers in order to meet different business or technical requirements. In the simplest of words, Multicloud just means cloud-native applications that have been built from micro-services and containers with the help of component services offered by different cloud providers.

What Does the Multicloud Offer?

More and more organizations have started to use Multicloud. Multiple cloud providers are routinely used by organizations in order to meet their requirements. Some of the things that Multicloud offers are mentioned below.

Vendor Lock-In

Multicloud adoption has skyrocketed due to the need to avoid becoming locked onto a specific infrastructure of a cloud provider, the pricing model, or add-on services. The thing about cloud providers is that they try to make their platform sticky by offering specific services and functions which differentiate their service from the rest even though cloud-native applications based on micro-services and containers can be designed for portability with the cloud. It simply means that the lowest common denominator application would not be able to exploit the full potential of the cloud provider. Hence, businesses would need to determine the opportunity cost of portability instead of full functionality for a particular workload and a potential lock-in. Thus, there is a need for Multicloud strategy across multiple workloads for the best results. Vendor lock-in can be avoided by adopting a Multicloud strategy and to take to benefit from the best solutions.

Shadow IT

It is also common for organizations to end up having a Multicloud strategy on accident through the need for shadow IT which refers to the technology that is adopted by the business units based on independent needs. Therefore, it would be independent from the IT department. However, it can be later reined in.


Latency can be minimized by organizations when they choose a cloud provider that offers data centers which are more geographically closer to customers. It is beneficial for many other performance metrics like packet loss and jitter. The key is to choose a cloud provider with the needs of the customers in mind. Besides, performance tends to be inversely correlated to the network hops and servers. Hence, organizations that have a diverse range of cloud-based workloads would need to use multiple cloud servers for the optimal solution.


Ever since the enactment of the GDPR by the EU, companies are required to hold customer data in particular locations. This has led to the emergence of data governance requirements. A Multicloud approach would be required by organizations to create and maintain an on-premises data lake.



Both Hyperscale and Multicloud have something unique to offer. The best option depends on the needs of the organization. Make sure to try out both options and consult with the IT department before implementation of any.