Function as a Service
A serverless computing category where developers deploy individual functions that execute in response to events. FaaS platforms like AWS Lambda, Google Cloud Functions, and Azure Functions handle all infrastructure management, scaling each function independently.
FaaS represents the most granular unit of cloud deployment. Each function handles a single responsibility, triggers on a specific event, executes in an isolated environment, and scales independently. This architecture naturally decomposes applications into small, focused units that are easy to develop, test, and deploy independently.
For AI-driven products, FaaS is ideal for lightweight inference tasks, preprocessing pipelines, and event-driven AI workflows. A function might preprocess an uploaded image before sending it to a model endpoint, post-process model output into a user-friendly format, or trigger a re-ranking pipeline when new content is published. Growth teams use FaaS for real-time event processing: sending personalized notifications when a user hits a milestone, triggering email sequences based on behavioral patterns, or computing engagement scores on the fly. The pay-per-invocation pricing model makes FaaS economical for experimental features with uncertain traffic, allowing teams to test AI-powered capabilities without committing to always-on infrastructure.
Related Terms
Content Delivery Network
A geographically distributed network of proxy servers that caches and delivers content from locations closest to end users. CDNs reduce latency, improve load times, and absorb traffic spikes by serving content from edge nodes rather than a single origin server.
Edge Computing
A distributed computing paradigm that processes data closer to the source of generation rather than in a centralized data center. Edge computing reduces latency, conserves bandwidth, and enables real-time processing for latency-sensitive applications.
Serverless Computing
A cloud execution model where the provider dynamically manages server allocation and scaling. Developers deploy functions or containers without provisioning infrastructure, paying only for actual compute time consumed rather than reserved capacity.
Platform as a Service
A cloud computing model that provides a complete development and deployment environment without managing underlying infrastructure. PaaS offerings like Heroku, Vercel, and Google App Engine handle servers, storage, networking, and runtime configuration.
Infrastructure as a Service
A cloud computing model that provides virtualized computing resources over the internet. IaaS offerings like AWS EC2, Google Compute Engine, and Azure Virtual Machines give teams full control over servers, storage, and networking without owning physical hardware.
Container Orchestration
The automated management of containerized applications across a cluster of machines, handling deployment, scaling, networking, and health monitoring. Kubernetes is the dominant orchestration platform, providing declarative configuration for complex distributed systems.