What Is Elastic Computing (EC)?
Elastic Computing (EC) is a notion that allows the cloud service provider to scale up and down its computing resources efficiently without having to buy or take down existing equipment. When you need more power, your cloud service provider can give it to you. For example, suppose you are running a website that suddenly gets traffic. In that case, the elasticity of your cloud service provider will allow them to increase their power so that your site can handle the influx of visitors. Elasticity can also work on a smaller scale. If your business needs an extra processor for just one week, then elasticity would allow the same processor to be used by other companies during the additional 51 weeks of the year. This saves money and resources for both parties because they're not allocating resources unnecessarily or purchasing costly equipment when necessary. Finding the help you need can be challenging when you're a small business. You can only afford to employ part of the team or buy all the necessary equipment. What if we told you there was a way to do it without breaking the bank? That's where elastic computing comes in. Elastic computing is the process of scaling your resources automatically based on demand. This means they'll be ready and waiting for you without effort when you need more resources—like a different web server or a backup storage system. No more asking for help with your project or begging for favors from friends and family! Elastic computing can work for any business, from two people working out of their garage to a large corporation with hundreds of employees. It scales automatically, so there's no need to worry about doing things manually or hiring new people every time there's an increase in workload. When things slow down again? You don't have to worry about scaling back down, either!
Related Terms by Cloud
Join Our Newsletter
Get weekly news, engaging articles, and career tips-all free!
By subscribing to our newsletter, you're cool with our terms and conditions and agree to our Privacy Policy.
