Serverless computing

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-09-02T06:11:02.743Z • Permanent link

Amazon Web Services' (AWS) announcement of a new serverless computing platform, AWS Lambda, in 2014 marked the beginning of a seismic shift in the cloud infrastructure landscape. The move was seen as a bold response to the rapidly growing demand for scalable and cost-effective computing solutions. Since then, serverless computing has become an increasingly popular choice among developers and businesses, with Microsoft's Azure Functions and Google Cloud Functions following suit. The key players in this space include AWS, Azure, Google Cloud, IBM Cloud, and Oracle Cloud, among others.

One of the pioneers in serverless computing is Cloud9, a company founded by Chris Richardson, who is often credited with coining the term "serverless computing" in 2014. Richardson's vision of a cloud-based platform that allows users to focus on writing code without worrying about the underlying infrastructure has become a reality. According to Richardson, "Serverless computing is about writing code that runs on a cloud platform without having to provision or manage servers." This vision has resonated with developers and businesses worldwide, who are now looking for ways to harness the power of serverless computing to drive innovation and growth.

Google Cloud Functions, launched in 2017, has been another significant player in the serverless computing space. The platform allows users to run serverless functions in response to events, such as changes to a database or new user sign-ups. Google Cloud Functions has gained significant traction, particularly in the areas of machine learning and IoT development. According to a report by MarketsandMarkets, the serverless computing market is expected to reach $6.8 billion by 2025, growing at a CAGR of 33.4% during the forecast period.

Serverless computing has far-reaching implications for the cloud infrastructure domain. For example, companies like Netflix and Airbnb are using serverless computing to power their scalability and growth. Netflix, for instance, uses AWS Lambda to process over 100 billion minutes of video content every month, without having to provision or manage servers. Similarly, Airbnb uses Google Cloud Functions to power its real-time booking engine, which processes over 1 million bookings every day. These use cases demonstrate the potential of serverless computing to drive innovation and growth in the cloud infrastructure space.

The impact of serverless computing extends beyond the tech industry, with significant implications for the wider economy. According to a report by PwC, serverless computing has the potential to create over 1.3 million new jobs globally by 2025, with the majority of these jobs being in the cloud computing and IT sectors. Furthermore, serverless computing is expected to reduce the cost of computing by up to 90%, making it more accessible to businesses and developers worldwide.

Serverless computing is part of a larger pattern of innovation in the cloud infrastructure space. The rise of cloud computing, artificial intelligence, and machine learning has created a perfect storm of innovation, with serverless computing playing a critical role in this ecosystem. According to a report by IDC, the cloud computing market is expected to reach $1.1 trillion by 2023, growing at a CAGR of 23.5% during the forecast period. This growth is driven by the increasing demand for scalability, flexibility, and cost-effectiveness in the cloud infrastructure space.