Cloud Computing: Scalability and Elasticity

Cloud Computing: Scalability and Elasticity

Introduction

Cloud computing is the delivery of computing services over the Internet. It provides a scalable, on-demand model for IT resources that enables you to pay only for the resources you use. The cloud offers elasticity—the ability to add and retract computing resources quickly, on demand, without downtime or unwanted downtime. Cloud computing provides both scalability and elasticity capabilities, which are especially important when managing an IT environment that handles unpredictable workloads and sudden spikes in demand.

Cloud Computing: Scalability and Elasticity

Scalability: The ability of a system to increase its power and functionality when additional hardware is added.

Scalability is the ability of a system to increase its power and functionality when additional hardware is added. It can be achieved by adding more hardware, software or both.

Elasticity: The ability of an application to add and retract computing resources quickly, on demand, without unwanted downtime.

Elasticity is the ability to add and remove resources on demand, without unwanted downtime. It’s a key feature of cloud computing because it allows you to scale up or down as needed. For example, if your website starts getting more traffic than usual during peak hours, Elasticity can instantly allocate more servers so that all visitors get served quickly. Conversely, if there is no need for extra resources during off-peak hours (for example on weekends), Elasticity will automatically shut down those servers so they don’t sit idle consuming electricity and costing money while nobody’s using them anyway!

Cloud Computing provides both scalability and elasticity capabilities. It does so by allowing you to pay for what you use and adding resources when you run into capacity issues.

Cloud Computing provides both scalability and elasticity capabilities. It does so by allowing you to pay for what you use and adding resources when you run into capacity issues. You can scale up or down as needed, which saves money in the long run.

In this section, we’ll explore how cloud computing allows applications to be scaled up or down depending on their usage patterns, without having to change the underlying infrastructure itself:

You can leverage the cloud’s scalability and elasticity capabilities to scale up or down depending on your needs.

The cloud’s scalability and elasticity capabilities are one of its biggest advantages. You can leverage these features to scale up or down depending on your needs, which means that you won’t have to pay for excess capacity that you don’t use.

The cloud can automatically scale up and down as needed, so there’s no need for manual intervention. The process happens quickly, usually within seconds or minutes, depending on how quickly your app is able to respond to changes in demand for resources (e.g., CPU cycles). This makes it possible for companies like Netflix–which serves millions of customers worldwide–to keep their services running smoothly despite huge spikes in traffic during peak viewing hours or other times when people are watching shows together online via streaming apps like Hulu Plus or HBO Go.*

Conclusion

Cloud computing offers a lot of benefits, including scalability and elasticity. These are two key aspects of cloud computing that allow you to scale up or down your resources based on your needs. As we’ve seen in this article, these features make it easy for businesses to grow without having to worry about costly hardware upgrades or downtime issues resulting from resource overloads.