AWS Serverless Architecture Components
Explore core AWS serverless services including Lambda, SQS, EventBridge, and Step Functions to build efficient, scalable AI workflows. Understand event-driven architectures that eliminate infrastructure management, optimize latency, and enable dynamic model selection and validation in generative AI applications.
What is serverless computing?
Serverless computing is an architectural approach where we build and run applications without managing servers, capacity planning, or infrastructure provisioning.
Instead of thinking in terms of virtual machines or clusters, we focus on functions, events, and managed services that automatically scale and execute in response to demand. This shift allows teams to concentrate on application logic, data quality, and user experience while AWS handles availability, scaling, and fault tolerance.
Modern AI systems rarely operate as a single model invocation. In production environments, we need architectures that can validate data, route requests dynamically, orchestrate multi-step workflows, and enforce safety controls. Serverless computing is ideal for building these systems without managing infrastructure,
In the AWS ecosystem, there are four services that serve as the core serverless components:
AWS Lambda
Amazon SQS
Amazon EventBridge
AWS Step Functions
These services are frequently used by AI professionals for dynamic model selection, data quality enhancement, retrieval optimization, safeguarded AI workflows, and integrated GenAI capabilities.
AWS Lambda as the execution layer for AI systems
AWS Lambda is a serverless compute service ...