Serverless Computing

its architecture depends on third-party resources referred to as the Backend-as-a-Service (BaaS) or the custom code that run using the Function-as-a-Service (FaaS).

The hottest topic around is serverless computing nowadays. It is a cloud computing based process execution model that manages the resource allocation dynamically. Well, serverless doesn’t mean that no servers are required server is still required in the serverless computing but the working(management, resource allocation, and capacity) of the server is hidden from the developer or operator. A business owner doesn’t have to worry about the expensive hardware platform, vendors take care of the working of the servers.

The main gist of the serverless computing and its architecture depends on third-party resources referred to as the Backend-as-a-Service (BaaS) or the custom code that run using the Function-as-a-Service (FaaS). The cloud and virtualization provide flexibility to the business. We don’t have to worry about the future requirements. It also provides agility to the business. AWS Lambda is one of the examples of serverless computing. It allows us to run our code virtually.

What are the advantages of using it?

1. Simple packaging and deployment.

2. No need for system administrators.

3. Easy to use with microservice (generally can be used as functions)

4. Scaling cost is less and provides agility as well.

5. Has less operational and development cost

6. Less market time and software release are faster.

7. Better latency and geolocation.

Also, it can be used in several fields like:

1. Chatbot or virtual assistant development.

2. Internet of things applications.

3. An application that is image-rich.

Alexa Skill Development:

Since the introduction of voice assistant devices, people are going crazy about the skills development for these devices. Alexa is one of the voice-operated assistant device created by Amazon. It comprises of several skills(applications). All the interaction with Alexa skill is completely dependent on sending a request and receiving a response, not like the conventional application for ios or android and that makes the use of serverless computing best-suited option for the Alexa skill development.

Also, it makes skill logic to respond quickly and safely despite the fact that it may receive millions of request in a day.

Personal experience:

We recently created an amazing Alexa skill (Chess with morgan) in which we used AWS Lambda to handle the backend request. It is quite impressive and easy to maintain. The serverless architecture is too innovative. We have to focus on code only.