Serverless Architecture Decoded – Evolution, Growth & Development

Serverless Architecture Decoded

The term “Serverless Architecture” refers to a set up where businesses develop and run applications without the need of dealing with the underlying infrastructure. So, what does serverless mean to an end-user? It means there are no servers to provision or manage; it scales up as per increase in usage and scales down as usage decreases. Also, the end-user has to pay only for the time that the code is being executed. It has built-in high availability, fault tolerance, and auto-scalability. So, the provisioning, maintenance, and scaling of the infrastructure are fully managed by the service provider.

Monolithic vs. Microservices vs. Serverless

The legacy monolithic applications were built as a single unit. The enterprise applications that have been designed to date (before the advent of Microservices) were built in three parts: a client-side user interface, a server-side application, and a database. The server-side application had to handle the HTTP requests, retrieve and update data from the database, execute some server-side logic, and populate the HTML views to be sent to the browser.

The monolith is a single logical executable. To change anything in the system, the whole server-side application is to be built again and deployed. As the Monolithic Applications are developed using a single development stack, the scaling up of the application becomes challenging.

The microservice architecture provides a different approach to software development. The Monolith, if dismantled into a set of independent services that are developed, deployed, and maintained separately, becomes a Microservice.

  • In a microservice, application architects can develop, manage, and scale these services independently as each service runs in its own container. The services here are small and built by a handful of developers. They can be used and reused by other services and applications without direct coupling through language bindings or shared libraries.
  • In the concept of microservices, the monolithic applications are broken down into smaller services each with its own business logic.

Serverless takes it a step further by making an application more granular to the level of functions and events.

Evolution of Serverless

The use of computers for Applications has evolved considerably since its inception. The need for greater agility and scalability has made the industry move from physical servers to virtual machines, then to containers, and finally to functions as a service. And, serverless is evolving faster than ever.

In the beginning, the OS was coupled to the hardware; however, with the evolution of the operating systems, it became possible to upgrade the OS without changing the hardware. As we progressed, Applications were developed on/for a specific operating system (OS). As the operating systems became complex, the applications required a particular version of the OS, which increased the dependency of an application on a particular OS, leading to the development of virtual machines.

The system started to evolve as people started to find new ways to achieve more flexibility, agility, and productivity. This led to the development of service-oriented architecture. Eventually, container-based virtualization came into existence. Containers are basically packages that rely on virtual isolation to deploy and run applications that access a shared OS. Container images include the information that executes at runtime on the OS, via a container engine. The microservice architecture came into existence once we found ways to store the differences from image to image, separately, with the common elements being drawn from an underlying container. This helped attain scalability in software development. There are still a lot of unnecessary libraries and supporting codes that are replicated across containers. This eventually led to “Backend as a Service” and “Function as a Service (FaaS)” models. The FaaS model is basically about running a backend code without scaling up/down your own servers.

As developers moved away from monolithic apps to microservices constructed as containers, it allowed the individual deployment of modules. This approach also enabled the developers to have the flexibility to use the framework and programming language of their choice.

The Growth of Serverless as a Culture

Serverless is an evolution of the trend towards a higher level of abstraction in cloud programming models. It is currently represented by “Function as a Service” (FaaS) where developers write small stateless code snippets and allow the platform to manage the complexities of executing the function.

Serverless is gaining traction in both enterprise and startup environments, at a pace much faster than seen with containers, which was the last widespread industry adoption rollout. More and more backend developers are now using serverless platforms. Almost 1/5th (19%) of all backend developers currently use serverless platforms; this percentage has jumped 3 points in the last 6 months itself, indicating the speedy growth rate in the use of serverless architecture! It’s almost as popular as the use of virtual machines now, as per the latest quarterly survey from Developer Economics

Moreover, the Cloudability’s State of the Cloud 2018 report that analyzed the IT spend of 1,500 organizations in 2017 showed a serverless quarter-over-quarter growth rate of 667%. Not to be left behind, social media also shows the immense popularity of serverless technology with Hundreds of tweets every hour being hash-tagged with “serverless”. Even Google Trends has reported a steady rise in the number of times this architecture is being looked up! The amount of traction that serverless is getting can be best understood by this graphical representation.

By adopting serverless architectures, customers have taken their products from ideation to production in no time as compared to the traditional approach. Most of the cloud providers have released their own serverless platforms, and there is a tremendous amount of investment and attention around this space in the industry.

Speeding up Development with Serverless

Serverless Architecture is bringing about a paradigm shift in the organizational mindset. Serverless coupled with agile development culture is driving organizations to fundamentally change the way business applications are developed.

With the emergence of serverless functions, and even more efficient pattern of event-driven computing is now available for developers. With serverless architecture, the app client creates an event that triggers an on-demand function. The developer is expected to just code, without any infrastructure requirement, and pay for functions only when he/she calls it. Pay as you go is the norm of the day with serverless computing.

The self-service based dynamic development environment dramatically speeds up the development team’s ability to respond to business needs and roll out new features. The development team now rolls out smaller and faster deployments reducing the downtime. Auto-scaling (based on traffic) provides a greater capacity and the developers do not need to spend time in testing or optimizing for spikes in the traffic as the surge response time is twice as fast. App server crashes because of surges in traffic or hardware/software failures have been reduced. Log access and system monitoring are also taken care of by the service provider, hence reducing overall development time enabling developer community or businesses to roll out the product faster than that with the traditional approach.

Instead of the long cycles of execution models and change management, the Continuous Development and Continuous Deployment helps the organization match pace with business agility. The developers gain by not creating critical services themselves. Most of the services are already available on the cloud; this enables faster development.

In the traditional development, we design the prototype with too many detailed choices resulting in long decision cycles. The custom source code components that are a part of the design are generally fragile and are needed to be integrated, debugged, and tested at regular intervals for stability and compliance, which may require months of work. However, in the case of serverless, the development is rapid because scalable, standard, and reliable components are readily available with model interfaces that can be used in our design by adjusting our design requirements accordingly. Since the source code components are standard (as good as a template), it speeds up decision making, reducing the overall design time.

Leading Players in the Serverless Space

New players are entering this space rapidly, but as one would expect, the largest cloud providers have the most extensive set of geographical locations and supporting resources for hosting serverless applications.

AWS Lambda

In the current scenario, AWS Lambda is the best-known vendor host for such a service. It is one of the first and most mature platforms with a stable serverless framework available in the market today. On AWS Lambda, one can deploy pure functions in Java, C#, Node.js, and Python and many more.

Over a dozen AWS services are integrated with Lambda, and the list just keeps growing! Amazon offers an interactive console and command-line tools for easy upload and management of the snippets.

Microsoft Azure Functions

Microsoft’s Azure platform has been rapidly expanding in recent years. It is aggressively competing with AWS for a share of the serverless market. The list of supported resources largely parallels what AWS is offering but Azure Functions also provides quite a few additional features specific to the .NET and Typescript audiences.

Google Cloud Functions

Google Cloud Functions largely follows Azure and AWS in terms of feature parity, with few notable differences.


While serverless architecture may not be a solution to every IT problem, it surely represents the future of many kinds of computing solutions in the coming years. Although the benefits of serverless architecture include easier operational management with reduced operational and development costs, it might not be the correct approach for every problem, so one should be wary of anyone who claims that it will replace all our existing architectures. Serverless has not gone mainstream yet, but it is bound to get a lot more traction in the years to come.

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