Imagine you host an e-commerce website with a big sale coming up. Compute resources include items such as CPU, memory, and networking. Auto-scaling adds or removes compute resources to meet changes in demand. Now that you’re only paying for the resources as you need them, you can scale up or down quickly with auto-scaling. This consumption model saves costs by only using compute resources when required. Using serverless, you only pay for the compute resources needed to execute the code. But, they are always consuming resources.
You have servers hosting applications, but those applications aren’t always in use. Think about servers you manage in an on-premises data center. Developers can quickly deploy code without waiting for system administrators to install servers, patch operating systems, or configure networking. Servers are still running the code, but developers no longer need to worry about them. Serverless computing eliminates this infrastructure barrier for developers. Configuring servers for applications is a time-consuming activity and often not a developer’s strength. Typically, when a developer needs to run code, they had to set up and maintain their own server. Developers write and deploy code without worrying about the infrastructure required to execute it. No Infrastructure HeadacheĬode runs on servers hosted by the cloud provider.
It is “serverless” in the sense that you do not need to install or maintain servers to run code. So what is serverless cloud computing anyway? Serverless computing hosts and runs code in the cloud.
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