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Scalability in Cloud Computing and 5 Basic Importance

Scalability in Cloud Computing and Its Importance

One of the major benefits why organizations choose the cloud over static or traditional computing architecture is the ability to easily and quickly scale. Scalability in cloud computing is perhaps the biggest benefit of the cloud with others including accessibility, reliability, cost effectiveness etc.

Before the onset of cloud computing, adding extra server space means installing new hardware which also requires paying for maintenance. Aside the cost of hardware and maintenance, there are other issues such as downtime, the need for physical space on the server, etc. As a result of these, growth has become such a big deal especially for medium to large size businesses because it means increasingly higher costs.

However, the introduction of cloud computing technology makes everything more convenient and less troublesome. With the cloud, the limitation that comes with traditional architecture is removed and it also provide support for business growth, as well as elimination of any interruption to business flow or expensive, unplanned changes. But, what really is Scalability in Cloud Computing?

Scalability in Cloud Computing

Scalability in Cloud Computing refers to the ability to increase or decrease IT resources such as processing power, networking ability, and data storage capacity – as needed to meet changing demand.   Through scalability, organization can scale up data storage capacity or scale it down to meet demands of their growing businesses without the hurdle associated with traditional solutions.

A cloud-based environment makes scaling of data requirements whether up or down – depending on the variations in the business, much easier. Scaling can be done quickly and easily, typically with little to no disruption or down time. However, to effectively leverage scalability, one needs to understand the complexity and the types of scalability.

Types of Cloud Scalability

There are three different types of cloud scalability – vertical, horizontal, and diagonal.

  1. Vertical Scaling: also known as scaling ‘up’ which simply means adding more resources to existing server when there is an increased workload. More compute power, memory, storage, or network can be added to a system to keep the performance at desired levels. It can also be done by moving an application to bigger virtual machines deployed in the cloud or by adding expansion units as well with current infrastructure. Scaling up does not require any altercation to code.
  2. Horizontal Scaling: is also called Scaling out. It means the addition of nodes to the existing infrastructure to accommodate additional workload volumes. Horizontal scaling involves implementing new servers and configuring them to work together. It has the advantage of increased performance along with storage and management capabilities and it requires longer time to implement.
  3. Diagonal Scaling: it is the combination of both vertical and horizontal scaling, where Organizations can grow vertically until they hit the server’s limit, and then clone the server to add more resources as needed. Diagonal scaling is a more flexible solution in the sense that it combines adding and removing resources according to current workload requirements.

Importance of Scalability in Cloud Computing

  1. Cost Savings: cloud scalability allows businesses to only pay for what they use through cloud providers, while helping them avoid the upfront costs of purchasing expensive equipment that could become outdated in a few years
  2. Disaster Recovery: With scalable cloud computing, you can reduce disaster recovery costs by rendering the need for additional data centers unnecessary, together with the costs and personnel required to service it.
  3. Convenience: cloud scalability gives IT administrators and staff the ease of increasing or decreasing IT resources as needed as well as the freedom of adding additional VMs on demand and customized to the exact needs of their organization.
  4. Flexibility and Speed: scalable cloud gives access to high-powered resources and the ability to respond quickly in a way that with just a few clicks, organizations can commission extra VMs to deal with increasing workload.
  5. Improved performance: Scalable architecture has the ability to handle the bursts of traffic and heavy workloads that will come with business growth which is achievable through scalability in cloud computing

Conclusion

It is of great importance for organizations to have adequate knowledge of their technology options so as to make informed decisions on how to scale. Scalability in Cloud computing can be delivered based on different cloud service models including Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), Storage-as-a-Service (STaaS), Data-as-a-Service (DaaS), Database-as-a-Service (DBaaS) – all of which organizations need to be adequately informed about to make precise decisions and to drive business goals.

If you are considering switching over to cloud infrastructure and you need a proper guide on how to deploy cloud computing services, contact us at Podtech – we are proficient in helping customers accelerate their cloud journey, enabling business-critical workloads to move to the cloud in few days as well as accurately deploy SaaS, PaaS or IaaS solutions among others – across public, private or hybrid cloud environment.