Serverless Architecture
Serverless Architecture is a cloud computing model in which the cloud provider manages the infrastructure, allowing developers to focus solely on writing code. In a serverless setup, developers deploy functions or services without provisioning or managing servers, as the cloud provider automatically handles scaling, load balancing, and server maintenance. Despite its name, "serverless" does not mean there are no servers involved; rather, it means that the management of those servers is abstracted away from the developer.
Serverless architectures are particularly well-suited for microservices, event-driven applications, and workloads with unpredictable traffic patterns. Popular serverless platforms include AWS Lambda, Google Cloud Functions, and Azure Functions. Serverless computing offers several benefits, such as reduced operational complexity, cost-efficiency (since you only pay for the compute time you use), and faster time to market. However, it also presents challenges, such as cold start latency and limited control over the underlying infrastructure. Despite these challenges, serverless architecture is increasingly adopted by organizations looking to build scalable, cost-effective, and agile applications.
How CodeBranch applies Serverless Architecture in real projects
The definition above gives you the concept — but knowing what Serverless Architecture means is different from knowing when and how to apply it in a production system. At CodeBranch, we have spent 20+ years building custom software across healthcare, fintech, supply chain, proptech, audio, connected devices, and more. Every entry in this glossary reflects how our engineering, architecture, and QA teams actually use these concepts on client projects today.
Our work combines AI-powered agentic development, the Spec-Driven Development (SDD) framework, CI/CD pipelines with agent rules, and production-grade quality gates. Whether you are evaluating a technology for your product, trying to understand a vendor proposal, or simply learning, this glossary is written to give you practical, accurate context — not theoretical abstractions.
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