Lately the term - Serverless Computing might pop out from time to time. The term "Serverless computing" technology is flourishing at a fast pace in recent years, being the top ten trend affecting up to 90% of enterprises that use (IaaS) with some type of (PaaS). Serverless Computing being a new technology has a huge potential. In recent times the field of cloud technology has been affected by it greatly.
Serverless computing is a computing-based execution model in which functions are typically executed off-premise where developers are relieved from the tension of server operation, maintenance, and so on. Despite the serverless term being part of its name, it is still in need of a server. Its aim is to help decompose complex applications into smaller manageable and exchangeable modules.
In this article, we will talk about the reasons that caused serverless computing to be such a major trend:
One of the main benefits of serverless computing is that you only need to pay the runtime of the function based on the duration of the code executed and its amount of time being triggered. In hindsight, it is a "pay as you use" model thus the incurred cost of the unutilized function is exempted, unlike conventional cloud models where a monthly/yearly occurring fee is needed to be paid regardless of the used or unused recourse.
Lambda serverless computing platform launch in 2014 has brought revolutionary trendsetting in the current era of the modern networking industry. They brought revolutionary architectures for cloud-based applications, the changes it brought to make it possible for an automatic trigger from any amazon web service, web, or mobile app. All the following said equates to allowing you to run any type of /backend service without provisioning or managing servers
Serverless architecture works very well with nano-service. Nanoservice core function is each of its functionality comes with its API endpoint, each endpoint is pointing to one function file that implements Create, Retrieve, Delete and Update.
Serverless providers like Microsoft Azure are capable of handling a high rate of function calls due to their event-based serverless computing experience that aids in quick and fast app development.
With serverless, scalability of the infrastructure to run the code is not a problem as it will automatically scale it to run the code. Each individual trigger will cause the code to run parallel which equates to decreased run time and workload
Businesses no longer worry about the capacity decisions due to the truncheon given to the vendors. Vendors give the required capacity based on the needs of the enterprise.