What is the serverless computing and how it is works

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What is serverless computing and how it works: Serverless is a sweet new technology for deploying functions without provisioning or managing servers. That’s a lot of fancy words, but basically, it means you can save hours and hours of developer time by just running and dealing with code while your servers are taken care of by AWS.

Imagine living in a world where you don’t have to manage OS updates. Or restore from a backup when your server was accidentally deleted. Is that correct?

Let’s look at what serverless means, its function, advantages, and disadvantages. One of the things that made me who I am today is reading. So I recommend that you continue reading to learn more about serverless.

What does “serverless” mean?

The term is misleading in a number of ways. It makes it seem like you can avoid the work of provisioning, deploying, and managing servers. It’s not really about that. Serverless is about using services as opposed to managing your own servers.

The term also makes it feel like there are no servers involved, which again is not really true. Your code runs on someone else’s servers for sure, but it’s just not your job to manage them anymore.

Serverless does not mean that there are no servers; it means you don’t have to think about them.

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The second definition of serverless computing is?

A way to deploy and run applications on cloud infrastructure without having to manage servers. It does this using what are called “Function as a Service” (FaaS) platforms, such as AWS Lambda.

In serverless computing, you don’t have to think about servers at all. You just write some code, put it in a zip file, and upload it to the cloud provider. You can then invoke the code directly, or you can configure an event source to trigger the code automatically based on things like changes to data in a database. When your code needs to communicate with other systems, it can do so through APIs provided by the FaaS platform.

Serverless does not mean that no servers are used; rather, it means that developers do not have direct control over the deployment of individual machines (physical or virtual) or their configuration.

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What are the advantages and disadvantages of serverless computing?

Advantages

 

There are thousands of advantages to using serverless. One is that you don’t have to think about servers, which means you can focus on your application instead of worrying about managing and operating systems.

Focusing more on your application gives you more chances for yourself and other things like going out for events. Why do I mean it gives you a chance for yourself?

Secondly, you pay only for the compute time you consume-there is no charge when your code is not running. You also benefit from automatic scaling; your application will scale based on demand and scale down to zero when it’s not in use.

Finally, you can build and run applications faster with Serverless. You can just pick up and move an existing application over to Serverless and have it be operational straight away-no need to build servers or spend time setting up an operating environment first.

Like I always say, knowing the disadvantages of something will give you the peace of mind to choose it or not. For most of the developers, it is not what they will really love, because they will not be in charge of the Cpanel. Let’s check the disadvantages.

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Disadvantages

The main disadvantage of serverless is that it’s new and there are a lot of unknowns. There aren’t a lot of battle-tested best practices, and the tools are still very immature.

Serverless also has several disadvantages. One is the vendor lock-in. Serverless functions are typically deployed to one specific provider’s cloud, like AWS Lambda, so you can’t easily switch to another provider or self-host your functions on your own servers.

Serverless is also not very well suited for applications that have long-running tasks or constantly open connections. Most serverless platforms have a timeout of five minutes or less, and some don’t play well with WebSockets or long polling requests.

Your application may not be as fast as you expect when using serverless because the function needs to “warm-up” after it hasn’t been used for a while (due to cold starts). Most serverless platforms let you keep your functions warm by pinging them every few minutes, but this can be expensive if you have many functions, and sometimes it won’t work anyway.

Thanks for reading. I hope with this wonderful article you can now tell what is serverless computing and how it works.

Takeaway: Serverless is a new paradigm for building software.

The difference between SaaS (software as a service) and serverless is that SaaS is a ready-made program or function that you can use for your applications, whereas serverless allows you to build and deploy applications without building and maintaining servers at all. Those are two distinct things, but they can also be used together.

For example, if what you want is a chat application for your website, you could use a service like Intercom—which is SaaS—to provide that functionality. On the other hand, if what you want is to create an API (or application programming interface) that allows different users to access different parts of your application in different ways, then you would use something like AWS Lambda to write short functions that do exactly that—and deploy them on AWS’s cloud infrastructure.

No, serverless computing is not IaaS.

Serverless computing is a cloud service that allows users to run code without having to deploy or manage servers. It’s a form of PaaS because it provides an application-centric environment with which users can create and run applications.

No, EBS is not a PaaS. It is an IaaS.

EBS is an IaaS technology, which means that it provides us with access to computer resources without needing to worry about maintaining the actual infrastructure.

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