Serverless apps necessitate team members to re-learn about Cloud architecture. A serverless application model is described in this book, and we will examine the steps of front- and back-end development in the serverless application model as well as its advantages and drawbacks. We will also point out the best examples.

What is serverless architecture?

Developers do not have to worry about managing servers and computing resources in a serverless approach because cloud providers take care of that for them. Vendors do not need to worry about deploying virtual machines or real servers because they do so automatically in the cloud.

Serverless architecture is provisioned, maintained, and scaled by cloud providers. The serverless architecture also makes it possible to run apps just when they are actually needed, as opposed to paying for ‘always-on’ server components that sit idle all the time. Appropriate resources are dynamically allocated when an app code is triggered by some external event or circumstance. Once the code has been run, you will no longer be charged.

Therefore, to summarize, serverless architecture is a technique to create a cloud-based application without having to worry about managing infrastructure. Security fixes, capacity management, load balancing, and scaling are all eliminated.

Even yet, the term “serverless” does not imply the absence of any sort of server. It is a little tricky to define. App developers do not have to worry about servers because they are being taken care of by the app’s service providers.

Functions in an application like this are often designed to do a particular task. In this case, the cloud service provider receives a module or function from a developer and executes it. A developer uploads a new version and initiates the modification in order to keep it up to date A serverless architecture and pre-built backend services are also integrated.

Backend as a Service (BaaS)

The acquisition of a backend is necessary for the serverless design to work. A third-party vendor handles the inner workings of the application, such as data storage, devices, security, and the backend. All backend is generated automatically by the platform, therefore development and testing time is greatly reduced.

The majority of service providers operate on a pay-per-use basis, which means that clients only pay for the extra space and processing capacity they actually use. The platform will automatically adjust your plan if you need more server capacity.

Fast as a Service (FaaS)

FaaS is the front end of a serverless application. The functionality is divided up into a large number of smaller functions, each of which can be executed on its own.

When a user performs a trigger action, the function is put into effect. The application responds to a certain event. This causes the function to begin working. The Cloud service providers limit the runtime and size of a function. Functions end when the event that initiated them is canceled. Because of the application’s careful management of memory use, processing costs are kept to a minimum.

Are Mobile Apps Possible with Serverless Architecture?

Serverless mobile development is supported by most Cloud platforms. In the case of AWS, for example, a Cloud Mobile Hub is available, which integrates mobile functionality with AWS serverless architecture.

The backend is moved to the cloud when adopting serverless design as opposed to internal infrastructure. Developers must build the front-end routines that respond to the client-made triggers. Fast, reliable, and lightweight serverless applications are a breeze to build and maintain.

App Development Benefits of Serverless Architectures

In the past, monolithic app development was preferred, but now companies are shifting to serverless app development, which decentralizes functionality. Because of its efficiency, it has become so popular. Developers can obtain the following benefits for a minimal monthly fee:


This means that app developers may concentrate on the program’s core functionality rather than worrying about hardware, data processing, and internal business logic. It improves the quality and reactivity of the product.


Serverless is defined by its ability to adapt to changing needs. Single-function edits are all that is required to alter the program. Because of this separation, it is easier to handle development and updates.

Lower cost

On a serverless platform, you just pay for the resources you consume. For every million requests executed, AWS charges $0.20. Google Cloud offers the first 2 million requests free, while the regular fee for 2 million requests is $0.40.

Simple Structure

For front-end function development, Serverless provides templates that just require code to be pasted into established frameworks. On top of that, you will not have to deal with the backend or business logic of the programmer.

How Can a Model of Serverless Applications Work?

In a serverless application, multiple processes work together in unison to accomplish a single task additionally, databases, APIs, and event source mappings are all examples of what is included in this type of project.

  • The Command Line:

Using a SAM, all tools have their own command line. In the CLI, you may edit the template files, invoke functions, debug code, create, and sort packages.

  • Template Specifications

The syntax of your program, as well as its events, permissions, and settings, are described in specifications. SAM by AWS and Google Cloud is an example of a ready-made template that can be customized for your app’s purpose and functionality.

Actively managing with serverless apps

Design your serverless architecture with maintainability in mind to avoid system evolution and technical debt. Make sure you keep an eye out for the following system features:

  • Analyzability: The ease with which the product’s components can be diagnosed and tested is defined by this factor.
  • Modifiability: This function determines whether your code is changed without causing any negative consequences to the entire system.
  • Testability: The ease with which tests and code modifications may be executed and validated is represented by this metric.
  • Modularity: This test determines whether a system is formed of independent components and whether changes to one of them have an impact on the other. Because serverless applications typically have a low module coupling, their components are discrete, which is a blessing.
  • Deployment: This refers to the ability to quickly and simply deploy or install an update.

A serverless application’s Scaling

A cloud service provider usually does scaling for a serverless app automatically. Both up and downscaling is feasible. Your server and user traffic will not be affected by this increase in demand. Over-provisioning is not an issue for serverless applications that only receive infrequent requests. You only use the number of resources that are necessary at any given time. The days of unused servers are over!

Your serverless app will automatically scale up or down depending on the volume of traffic. All vendors, however, are constrained by the limitations imposed by their own RAM, CPU, and I/O capabilities. Be aware of those, then. Using AWS Lambda as an example, you can get up to 3GB of RAM free.