Serverless Computing in Amazon Web Services (AWS)

Serverless Computing in Amazon Web Services
Serverless computing is the talk of the town these days as different server modes are taking over technical architecture. As the name suggests, serverless architecture is all about enabling developers to write codes without having to bother about server configurations and platforms.

Serverless computing is mainly driven with a single aim: to assist developers in writing code, without incurring too many distractions regarding server configurations and different platform variations. Additionally, the user pays for the compute time consumed so that the idle time is deducted from the usage period. At the same time, code processing can easily be scaled during high load periods.

Today, a lot of companies begin to venture out into the world of serverless computing: AWS, Microsoft Azure, and Google Cloud have become the top names in the industry.

Does Serverless Mean “No Servers”?

Technically speaking, this is not a possibility. Serverless computing is a segment within the Cloud wherein applications are enabled to run in a stateless form within computing containers, which are further driven by an event triggered. One such service by AWS, Lambda, is designed to run snippets of the code which are directed at carrying out single, yet short tasks.

More often than not, these functions are self-contained blocks of code, which are independent and can be deployed and executed from any platform. Functionally, we would realize that in the absence of such facilities, the life of a developer would be very tedious and cumbersome. In an ideal world, where serverless facilities are not available, developers would have to set up a web server before uploading code.

In an alternate technical universe with AWS Lambda, the developer needs only to upload a piece of code which will then be run regularly. Further with the launch of the AWS Lambda, developers don’t need to worry about provision capacity, scaling resources, maintaining security patches, and facilitating updates to the underlying servers. As discussed above, the user is only charged for the compute time they consume.

Managing an Environment Where Serverless is the New Keyword

There are benefits worth noting in a serverless environment. Here’s a list which can help some users decide in favor of AWS Lambda:

Save Time and Ride the Wave with Efficiency: Companies like to save the time of their employees and bring about efficiency in their daily processes. A serverless environment facilitates the use of efficiency, as developers can produce apps without bothering about server configurations.

Function as a Service (FaaS): With the launch of the AWS Lambda, Amazon introduced a whole new level of architecture for different applications within the Cloud. With the use of AWS Lambda, developers can run any application without provisioning servers. All you need to do is upload the code; Lambda would perform the rest of the functionality.

The World of Nanoservices: The serverless environment paves the way for Nanoservices, which help to structure serverless computing applications. Through the use of nanoservices, serverless computing can assist immensely in auto-scaling and load balancing.

The Workload Decides the Scaling Experience: How does the idea of auto-scaling according to your workload sound? What if your application was enabled to scale up automatically? With AWS Lambda, all these features are no longer a myth, but actual reality. As the workload increases, a serverless environment will always allow auto-scaling for best results.

Third Parties Manage the Servers: What can be better than having third-party providers worry about providing server management services? No matter the situation, everything will be taken care of by the third-party service provider. Developers don’t have to worry about these things at the time of developing their applications.

Upload the code, and you are set to go: Bid farewell to complex server configurations and coding issues. Everything else will be taken care of by Lambda services. Such is the working of the serverless space, which benefits small, medium, and large-sized organizations.

Also Read

Journey to the Cloud with AWS Managed Service Providers
Hybrid Cloud: Defining The Face of Futuristic Cloud Architecture
Cloud Computing in the Healthcare Industry
Four Key Steps That Can Enhance and Endure Cloud Migration

Why serverless? Meet AWS Lambda

Why would a developer use AWS Lambda? In a word, simplicity. AWS Lambda—and other event-driven, “function-as-a-service” platforms such as Microsoft Azure Functions, Google Cloud Functions, and IBM OpenWhisk—simplify development by abstracting away everything in the stack below the code. Developers write functions that respond to certain events (a form submission, a webhook, a row added to a database, etc.), upload their code, and pay only when that code executes.

In “How serverless changes application development” I covered the nuts and bolts of how a function-as-a-service (FaaS) runtime works and how that enables a serverless software architecture. Here we’ll take a more hands-on approach by walking through the creation of a simple function in AWS Lambda and then discuss some common design patterns that make this technology so powerful. Read more..