In serverless computing, instead of having a single server that is responsible for all the tasks related to running your application, you instead use a collection of smaller, autonomous servers. This means that you can deploy your applications with less overhead and in a more agile manner.
Additionally, because there are no dedicated servers, you can scale up or down your application as needed without having to worry about downtime or losing data.
🚨 However, there are also some challenges associated with Server-less computing. For example, server-less architecture can be difficult to debug and manage due to its lack of centralized control.
There are a few key benefits to going Server-less:
No Server Management
This technology eliminates the need to waste time managing servers, allowing you to devote more time to business logic rather than administrative tasks. So this simply means deploying code and watching it run efficiently.
Flexibility to Scale
It can scale from zero to thousands of concurrent functions in seconds, which is extremely useful in near-real-time applications.
Pay as You Use
Server-less computing allows you to pay for the services that you've used by running your code; service allocation occurs as soon as the deployment is complete. You only pay for the resources that your app consumes.
🚦 Automation is highly available in server-less computing.
Server-less Function Example
using System;
using System.Threading.Tasks;
public static void Run(string myQueueItem, ILogger log) {
var result = myQueueItem + " new message via azure function";
System.Threading.Thread.Sleep(3000);
log.LogInformation($"function processed message: {result}");
}
Hi, I’m Wajid Khan. I am trying to explain computer stuff in a simple and engaging manner, so that even non-techies can easily understand, and delivered to your inbox weekly.