What is Cloud Elas­tic­i­ty?

Cloud elas­tic­i­ty refers to how IT resources adapt to system re­quire­ments in real time. Companies can quickly and ef­fec­tive­ly respond to a temporary increase in demand on their servers without needing to commit to a cloud plan that pro­vi­sions more resources than the company would typically need.

Why is cloud elas­tic­i­ty important?

An in­creas­ing number of companies are out­sourc­ing parts of their IT ca­pac­i­ties to a cloud. Cloud elas­tic­i­ty is the automatic pro­vi­sion­ing and de­pro­vi­sion­ing of resources from a data center when demand from a customer increases or decreases. This allows cloud resources, including computing, storage and memory resources, to quickly be re­al­lo­cat­ed as demands change. This dynamic ad­just­ment is a typical feature of modern cloud services, which can be scaled as needed.

Computing resources such as CPU, RAM, input/output bandwidth, and storage ca­pac­i­ties can be increased or decreased as needed, without in­ter­rupt­ing system per­for­mance.

The goal of cloud elas­tic­i­ty is to avoid over- or under-pro­vi­sion­ing of a par­tic­u­lar service or ap­pli­ca­tion. Over-pro­vi­sion­ing (i.e., al­lo­cat­ing too many resources) leads to higher costs than necessary, while under-pro­vi­sion­ing (al­lo­cat­ing too few resources) means not all users can access the service. In recent years, companies have benefited from the ad­van­tages of moving their ap­pli­ca­tions and IT in­fra­struc­ture to the cloud. One of the main benefits is elas­tic­i­ty.

What is elas­tic­i­ty in cloud computing?

An elastic cloud service allows you to use more computing power and storage when needed, and release them again when the ad­di­tion­al capacity is no longer required. The elas­tic­i­ty process must happen quickly and au­to­mat­i­cal­ly. A delay in scaling up would lead to server overloads and downtime. Con­verse­ly, if a necessary scale-down is delayed, the servers would remain unused, which would waste the cloud budget. When a cloud provider adjusts resource al­lo­ca­tion to dynamic workloads, enabling the use of more or fewer resources, the service is referred to as an elastic cloud. Elastic cloud platforms are often cloud-native systems specif­i­cal­ly designed to seam­less­ly adapt to changing workloads—without manual in­ter­ven­tion.

The degree of cloud elas­tic­i­ty depends on how fast a cloud provider can allocate different resources in response to changing customer re­quire­ments. Offering this dynamic option is an enormous advantage. Before the era of cloud computing, the server and driver ar­chi­tec­ture had to be expanded to respond to sudden peaks in demand for bandwidth and in­fra­struc­ture. This approach to handling peaks in demand required large upfront financial in­vest­ments in hardware, data centers, power and network bandwidth.

This is no longer a problem thanks to cloud elas­tic­i­ty and af­ford­able cloud hosting solutions. Capacity can now be au­to­mat­i­cal­ly increased or decreased as needed. This elim­i­nates the upfront costs and in­stal­la­tion time as­so­ci­at­ed with tra­di­tion­al methods of setting up an ap­pli­ca­tion and IT in­fra­struc­ture ar­chi­tec­ture on site.

What does cloud elas­tic­i­ty bring to a company?

Elas­tic­i­ty improves company per­for­mance and is cost-efficient. Elastic cloud providers have system mon­i­tor­ing tools which track and analyze the uti­liza­tion and al­lo­ca­tion of resources. These two metrics should match to ensure that the system is per­form­ing at its maximum capacity and at a low cost. Cloud providers typically offer a usage-based pricing model, where the company only pays for what it uses. With the “Pay as you expand” model, new in­fra­struc­ture com­po­nents can be added to prepare for growth.

Cloud elas­tic­i­ty and cloud scal­a­bil­i­ty ensure that both customers and cloud platforms meet the changing demands of data pro­cess­ing. While scal­a­bil­i­ty helps manage long-term growth, elas­tic­i­ty ensures seamless service avail­abil­i­ty in the present. It also helps prevent system overloads or excessive cloud costs due to over-pro­vi­sion­ing. In cloud platforms, elas­tic­i­ty ensures customer sat­is­fac­tion. The system remains smooth and high-per­for­mance through­out.

What are the ad­van­tages of cloud elas­tic­i­ty?

• Easy scal­a­bil­i­ty: On-demand computing resources allows managed cloud hosting providers to quickly deploy the exact services and in­fra­struc­ture a business needs.
• Lower costs: Companies can reduce their IT budgets by avoiding in­vest­ments in IT in­fra­struc­ture. Using the pay-as-you-go model for cloud elas­tic­i­ty means that you are only charged for the resources you use.
• Greater re­dun­dan­cy: IT teams can leverage more flexible, reliable and cost-effective backup and recovery solutions with ac­ces­si­ble off-site computing resources.
• More capacity: Elastic cloud storage services offer virtually unlimited storage capacity.
• Easier man­age­ment: With cloud services, IT teams no longer have to worry about pro­vi­sion­ing, main­tain­ing and upgrading in­di­vid­ual parts of the IT in­fra­struc­ture.
• High avail­abil­i­ty and re­li­a­bil­i­ty: Resources are au­to­mat­i­cal­ly pro­vi­sioned in the back­ground without the end user noticing.
• Increased agility: The elastic cloud makes IT in­fra­struc­ture more agile and flexible, allowing new users or customers to use the system with ease.
• Increased pro­duc­tiv­i­ty: Au­to­mat­i­cal­ly pro­vi­sion­ing and scaling resources gives in-house IT staff more time to focus on core business functions.
• Increased flex­i­bil­i­ty with workload changes: Or­ga­ni­za­tions do not have to worry about their website crashing when traffic increases.

How is cloud elas­tic­i­ty used?

The goal of cloud elas­tic­i­ty is to ensure that the resources that are allocated cor­re­spond to the resources required needed at any given time. This means that cloud elas­tic­i­ty is im­ple­ment­ed wherever peaks in required computing capacity need to be adjusted.

E-commerce

E-commerce websites may host events such as discount sales, pro­mo­tions, or limited-edition items, which can attract a larger number of customers than usual. Cloud elas­tic­i­ty allows for adequate resources to be allocated during increased demand so that customers can make their purchases.

A company running an an­niver­sary sale or Black Friday promotion can expect a lot more traffic and server requests. This puts more pressure on servers than at other times of the year. An elastic platform allows for flexible resource provision to ac­com­mo­date this higher demand. The ad­di­tion­al ca­pac­i­ties can be returned to the cloud provider af­ter­wards.

Customer service

In­dus­tries with existing customers may also ex­pe­ri­ence high customer activity at certain periods during the year. For example, when contracts are changed, canceled or ter­mi­nat­ed at the end or beginning of the year. These times of year are generally as­so­ci­at­ed with a sharp increase in data traffic. Without elas­tic­i­ty, this spike in traffic would overwhelm existing capacity and lead to a service outage. “Server un­avail­able” messages would appear on users’ screens and reflect poorly on the company.

Cloud elas­tic­i­ty makes it possible to manage demand in real time without customers noticing a change in per­for­mance. The re­spec­tive cloud provider will also only bill for the resources used and not for the number of virtual machines provided. Once the rush in traffic has ended, the virtual machines can be released from the elastic cloud platform to reduce cloud expenses.

Summary: Cloud elas­tic­i­ty saves resources and costs

Cloud elas­tic­i­ty gives en­ter­pris­es and IT or­ga­ni­za­tions the option to handle un­ex­pect­ed surges in demand without having to maintain the extra equipment. Cloud elas­tic­i­ty is a forward-looking feature for IT in­fra­struc­ture. It helps companies stay op­er­a­tional during peaks in demand and improves flex­i­bil­i­ty and avail­abil­i­ty. It also leverages a pay-as-you-go model, which is cost-efficient for IT budgets. Busi­ness­es can get the most out of cloud elas­tic­i­ty computing by choosing a cloud provider who oversees the pro­vi­sion­ing, managing and scaling of cloud resources.