Serverless Computing: What You Need to Know

The term serverless grew in popularity as Amazon first launched AWS Lambda in 2014. Since then it has grown in both usage and reference, as more and more retailers enter the market with their own solutions.

Serverless Computing is a computing code execution model where the developers are relieved of several time-consuming activities so that they can focus on other important tasks. This trend is also known as Function as a Service (FaaS) where the cloud vendor is responsible for starting and stopping a function’s container platform, check infrastructure security, reduce maintenance efforts, improve scalability, so on and so forth at low operational costs. The aim is to develop microservice oriented solutions to help decompose complex applications into small, easily manageable and exchangeable modules.

This brings us to the question – are there really ‘serverless’ computing services?

Of course, it is only logical that there should be servers in the background, but developers need not bother about the operation or provisioning of these servers; the entire server management is done by the cloud provider. Thus, the developer can devote more of his time to creating effective and innovative codes.

Here is how it works:

  1. Being serverless, the developers are relieved from the tension of server operation and maintenance and hence, can focus on the codes.
  2. The developer gets access to a framework with which he can create codes, which are adaptable for IoT applications as well, and that means handling the exodus of inputs and outputs. The cause and effect of the code will be reflected in the framework.
  3. It takes on the role of a service, by providing all requisites for a functioning application.

The upsides and downsides of serverless computing

Serverless computing has the following benefits:

It Saves Time and Overhead Costs

Many large companies like Coca- Cola and The Seattle Times are already leveraging the benefits of serverless computing to help trigger code in response to a series of pre-defined events. This helps them to manage their fleet of servers without the threat of overhead costs.

One of the main attractions of serverless computing is that it is a ‘pay as you use’ model. You just need to pay for the runtime of your function – the duration your code is executed and the number of times it’s been triggered. You don’t have to incur the cost of unutilized functions as seen in a cloud computing model where even ‘idle’ resources must be paid for.

Nanoservices takes Serverless Computing to a Whole New Level

Serverless architecture gives you the chance to work with several architectures including nano-services. It is these architectures that help you structure your serverless computing application. You can say that Nanoservices is the first architectural pattern because each functionality comes with its own API endpoint and its own separate function file.

Each of the API endpoints points to one function file that implements one CRUD (Create, Retrieve, Update, Delete) functionality. It works in perfect correlation with microservices, another architecture of serverless computing, and enables auto scaling and load balancing. You no longer have to manually configure clusters and load balancers.

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