GenAI will play an increasingly important role

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One of the first use cases was customer support chatbots, and King believes serverless support for AI-based chatbot services and projects is also likely to grow. “Another growth area is streaming media, especially live events. The continued growth, proliferation, and evolution of live streaming should drive serverless adoption for many years to come,” he says.

According to Caroline Dubey, CTO of Cloudera, the improved capabilities of serverless systems mean that more applications will be able to take advantage of them: “Enterprises will look for firewalls to control costs, observability to gain insights into performance and cost optimization, and application portability to move data processing across clouds.”

Scott Petrie, cloud partner at PwC south korea mobile database Services, notes that there is currently growing interest in generative AI (GenAI) in the software development lifecycle, with a particular focus on how automation can enable developers to unleash their creativity when building applications.

“Cloud and infrastructure companies are looking to reduce the time it takes to build software, which is driving demand for new serverless capabilities that developers can use without having to spend extra time and effort on mundane tasks. Consequently, the focus will increasingly shift to delivering valuable features that drive innovation,” says Petri.

Overall, GenAI is a valuable set of tools that can simplify and improve the production of serverless workloads, from design and development to deployment, operations, and optimization. With GenAI, developers and organizations can accelerate development cycles, improve productivity, reduce costs, and improve the security of their serverless applications.

It goes without saying that serverless applications are a boon for developers. Here are some key characteristics that are important for developers:

Automatic scaling. Serverless applications can automatically scale up and down based on demand. This means that developers don’t have to worry about over- or under-allocating resources.