What is serverless computing: Definition, 4 Benefits and Drawbacks

What is serverless computing

Utilizing cloud-based technologies to manage a website’s or app’s back-end operations is known as serverless computing. So, “What is serverless computing”. The serverless platform takes control after you declare an event that initiates code. Depending on how often you use the service, your prices may increase or decrease.

In this paradigm, the term “serverless” is incorrect. Servers are used by cloud service providers to support their clients. However, if you purchase the technology, you won’t need to spend money on back-end servers when you create or implement a web application. Additionally, you won’t keep up with those back-end servers.

Let’s examine what is serverless computing in greater detail so that you can decide whether your business should participate.

What is serverless computing?


With serverless computing, developers can completely ignore back-end operations and concentrate on the user interface of a website or mobile application.

The portions of a website or program that users view, interact with, and remember are called the front-end. Here is where graphics, writing, and other visual signals start.

The parts of a website or app that users don’t see but which are necessary for a seamless website experience are included in the back-end of the website or app. These supporting components may be:

  • Data sources: A place in the back-end is required for lists of blog articles, open stores, and product inventories.
  • Processing: Every action a customer does requires some level of power, and the majority of data processing takes place in the background.
  • Security: For a user to view certain sections and components, they may need to log in. The function takes place in the back, yet the login page is on the front.

What is serverless computing?


These kinds of back-end operations are scattered pieces of code in the serverless paradigm, dormant until customers use them. The serverless computing vendor intervenes, allots space, and enables a smooth transition when a user acts in a way that triggers the code.

Developers write application code and load it into the serverless computing environment, as an expert defined the technique in 2014. It remains there, inert, waiting for a circumstance to activate the code. At that point, the provider of serverless computing assumes control and starts running the code on the cloud. The code resumes its inactive state after the event is over.

Scaling is possible since the serverless paradigm depends on these processes, which may or may not run constantly. If there is a lot of traffic on the website or app, the cloud can provide greater storage and processing power (for a fee). The available space and prices decrease as the volume of traffic decreases.



The serverless model can appear bulky and somewhat flimsy. True serverless apps, according to experts, have four characteristics. As follows:

  1. Varying in cost. Vendors only charge you for what you really use.
  2. Self-maintaining. Clients are not required to maintain the servers.
  3. Scalable. They continually scale up and down without assistance from client code.
  4. Reliable. These products have fault tolerance and high availability built right in.

What distinguishes serverless computing?

Serverless computing differs from FaaS and BaaS

Most likely, you’ve read about cloud-based servers that manage websites or apps. You’re not mistaken if some of the products you’ve read about seem uncannily similar to serverless computing.

Serverless computing and numerous cloud-based services have the same characteristics:

  • BaaS: The backend as a service model, also known as BaaS, enables developers to outsource the management of backend operations.
  • PaaS: You may create and release products in the cloud environment thanks to platform as a service (or PaaS).
  • IaaS: Infrastructure as a service (or IaaS) enables you to perform nearly all operations related to a website or app in the cloud.

“What is serverless computing” differs from all of these approaches due to automatic scaling. When you need more space, you’ll typically need to speak with your BaaS, PaaS, or IaaS vendor. These discussions won’t be necessary in the serverless computing architecture.

Serverless computing’s benefits and drawbacks

Serverless computing's benefits and drawbacks


Should you switch to a serverless stack instead of your present configuration? Let’s examine the benefits and drawbacks.

Serverless computing has several benefits, including:

  • Cost: Only what you use will be charged. Other cloud-based solutions need you to reserve space (whether you use it or not).
  • Flexibility: Serverless models scale automatically without your help.
  • Accuracy: Instead of worrying about the back-end architecture supporting a particular function, developers may concentrate on that function. Powers being divided could result in clearer code.
  • Speed: The time developers would otherwise spend thinking about predicting and reserving server capacity is now freed up.

Serverless computing has some drawbacks, including:

  • Security: A portion of your data will be given to another business, which may or may not protect it. Security and apprehension about the unknown are the main reasons given by the 60% of businesses that don’t use serverless systems for their operations.
  • Privacy: In cloud settings, which may also be inhabited by other people, your resources are shared.
  • Complexity: It may be challenging to identify the problem when something isn’t functioning as it should. There are several places you can look.
  • Contracts: Some vendors bind their customers to lengthy contracts.


Making sure you don’t have to worry too much about the underlying physical machine that your code runs on has been a major goal of IT innovation over the past 20 years. Examples include virtual machines, cloud computing, and containers. With understanding what is serverless computing, which is becoming more and more common, you don’t need to know anything about the hardware or operating system your code runs on because a service provider will take care of it all for you.

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