What is Serverless Computing? Why It's Important

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-10-04T18:25:30.984Z • Permanent link

Amazon Web Services (AWS) has been leading the charge in serverless computing for several years now, and it's no surprise that their innovation has sparked a wave of interest in the industry. In 2014, AWS launched its first serverless compute service, Lambda, which allowed developers to run code without having to provision or manage servers. Since then, other cloud providers such as Microsoft Azure, Google Cloud Platform, and IBM Cloud have followed suit, offering their own serverless computing platforms. However, AWS remains the market leader, with a significant advantage in terms of market share and developer adoption.

One key individual behind AWS's success in serverless computing is AWS's CTO, Dr. Drew Astrup. Astrup has been instrumental in developing and promoting the concept of serverless computing, and his team has been working tirelessly to improve the technology and make it more accessible to developers. AWS's serverless computing platform has been adopted by a wide range of companies, from startups to large enterprises, and has been used to build a variety of applications, including real-time analytics, machine learning models, and IoT devices. According to a report by MarketsandMarkets, the global serverless computing market is expected to grow from $1.4 billion in 2020 to $13.4 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 53.3%.

The rise of serverless computing has also been driven by the increasing demand for scalability and flexibility in cloud infrastructure. As more companies move their applications to the cloud, they need to be able to scale quickly and easily to meet changing business needs. Serverless computing provides a way to do just that, without having to worry about provisioning or managing servers. This has been particularly important for companies in the finance, healthcare, and retail sectors, where applications are often high-traffic and require rapid scalability.

Serverless computing has a significant impact on the Cloud Infrastructure domain, particularly in terms of scalability, flexibility, and cost-effectiveness. Companies such as Netflix, Spotify, and Airbnb have all adopted serverless computing to power their applications, and have seen significant benefits in terms of reduced costs and improved scalability. According to a report by Gartner, companies that adopt serverless computing can expect to see a reduction in operational costs of up to 50%, and an improvement in scalability of up to 90%.

The adoption of serverless computing is also having a significant impact on the research community, particularly in terms of the development of new machine learning models and real-time analytics applications. Researchers at universities and institutions around the world are using serverless computing to build and deploy complex machine learning models, which are being used to solve a wide range of problems, from natural language processing to computer vision. According to a report by ResearchAndMarkets, the global serverless computing market for machine learning is expected to grow from $1.1 billion in 2020 to $5.4 billion by 2025, at a CAGR of 53.5%.

The rise of serverless computing is part of a larger trend towards cloud-native architecture, which is characterized by the use of cloud-based technologies to build and deploy applications. This approach has been driven by the increasing demand for scalability, flexibility, and cost-effectiveness in cloud infrastructure, and has been influenced by a range of factors, including the rise of containerization, serverless computing, and Kubernetes. According to a report by Gartner, cloud-native architecture is expected to become the dominant approach to application development and deployment, with 75% of organizations expected to adopt cloud-native architecture by 2023.