State of the art of Serverless - Q1 2026

Serverless computing has become a cornerstone of modern cloud infrastructure, enabling developers to deploy and run code without managing the underlying server resources. By abstracting away operational concerns such as provisioning, scaling, and availability, serverless platforms allow teams to focus entirely on application logic while benefiting from elastic scalability and a pay-per-use pricing model. As cloud-native architectures continue to mature, serverless functions have evolved from a niche pattern into a mainstream building block for event-driven workloads, APIs, and data pipelines alike.

With an expanding ecosystem of providers, from hyperscalers to regional and sovereign cloud operators, understandint the value of serverless platform has become a non-trivial decision. Cloud Mercato conducted a comparative study across Functions-as-a-Service (FaaS) offerings where each platform was evaluated against a common baseline configuration of 0.5 vCPU and 1 GB of RAM, adjusted where catalog constraints imposed different minimums or maximums.

The study examines two critical dimensions of serverless platform selection: performance and pricing. On the performance side, empirical tests were conducted to measure execution characteristics under comparable conditions. On the pricing side, the cost structures of each provider were analyzed to understand the true economic footprint of serverless workloads at scale. Together, these dimensions offer a practical framework for organizations evaluating serverless options across a heterogeneous cloud market — whether optimizing for raw performance, cost efficiency, or geographic and regulatory requirements.