A United States-based data analyst, Akeem Ogundipe, has said serverless computing, as an innovative technology, will transform how organisations handle the surge in real-time data processing.

In a statement made available to The PUNCH, Ogundipe noted that platforms like AWS Lambda, Google Cloud Functions, and Microsoft Azure Functions were enabling businesses to build real-time applications that could process streams of data efficiently.

He added that serverless computing had been allowing organisations and developers to focus on code without managing servers as a practical alternative.

The statement read, “In today’s digital era, the proliferation of data has reached unprecedented levels. The serverless model offers several advantages, including automatic scaling, cost-efficiency through pay-per-use billing, and reduced operational complexity.

“Real-time processing enables organisations to analyse data as it arrives, facilitating timely decision-making in critical domains such as fraud detection, health monitoring, and dynamic pricing.

“This exponential growth necessitates real-time data processing capabilities. Traditional

batch processing methods, which involve collecting and storing data for later analysis, are increasingly inadequate for applications requiring immediate insights.”

Speaking on technological growth, Ogundipe said the integration of serverless computing with advanced data frameworks had revolutionised the way organisations processed and analysed large data.

He stated, “The convergence of serverless computing and big data frameworks has led to the development of architectures that are both scalable and cost-effective.

He concluded that adopting serverless cloud systems could improve efficiency and reduce infrastructure costs if implemented strategically.