How the Serverless Trend Could Affect the Upcoming Cloud Technology

Serverless Trend Could Affect the Upcoming Cloud Technology

Speedy business dynamics are continually magnifying the demand for upgraded IT infrastructure, the pace of application development, and the effectiveness of the ongoing operations.

Most IT executives link their fundamental cost elements with their organizational IT
infrastructure. These include hardware, software, power, as well as cooling costs. However,
the dawn of the client-server revealed added costs that are considered while evaluating an
IT base substitute – they are the “hidden costs” for IT infrastructure.

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By categorizing the hidden costs, the client-server generated the evolution of IT
infrastructure globally. Some of the major stages and their associated results on the hidden
costs are-

1. Client-server – lowered operational support expenses, increased integration testing
2. Virtualization – lowered operational support expenses
3. Cloud (Public, Private, Hybrid) – lowered operational support and integration testing
4. Converged Systems – lowered operational support and (majorly) integration testing
5. Containers – lowered operational support and integration testing expenses

Basically, the function-as-a-Service (FaaS) or serverless infrastructure significantly reduces or eliminates different hidden costs. For instance, cloud providers, including Google Cloud
Services, Amazon Web Services, IBM Cloud, and Microsoft Azure, provide relieving options
for users.

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Serverless applications do not involve the management of the hardware and software parts. The platforms also provide high availability and fault tolerance to the application. With time, the developers have been relieved from any liability beyond the application code. The same goes for operations staff as well.

Simply put, with the implementation of the serverless, there is no hardware or software
configuration and no virtual image. It makes the process of deploying code into production
easier. Serverless is used in union with the code implemented in microservices. Various
aspects like scaling, maintenance operations, and capacity planning might be hidden from

However, there is a lack of standardization in serverless spanning different cloud providers. Thus, moving a serverless app to the cloud providers could be challenging. Besides, serverless has latency issues. In its essence, learning to develop serverless applications for more than one cloud provider can also be tricky.

Therefore, serverless needs tools like integrated development environments (IDEs) to
shorten the development of compound serverless apps. Consequent to the positive impact
on the developer’s productivity and decline of infrastructure-related costs, making the
serverless become the choice of applications.

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