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.
PaaS sits between Infrastructure as a Service and Software as a Service on the cloud abstraction spectrum. It provides the operating system, middleware, runtime, and development tools, freeing teams to focus on application code. Deployment is typically as simple as pushing code to a repository, with the platform handling build, deployment, scaling, and monitoring.
For AI product teams, PaaS platforms accelerate development by eliminating infrastructure setup time. Teams can deploy web applications that consume AI APIs, host model serving endpoints, and run data processing jobs without configuring servers or managing Kubernetes clusters. Growth engineering teams particularly benefit from PaaS because it enables rapid experimentation: deploying a new landing page variant, API endpoint, or webhook handler takes minutes rather than hours. The trade-off is reduced control over the execution environment, which matters when AI workloads need specific GPU types, custom system libraries, or fine-grained resource allocation. Many teams use PaaS for their application layer while running AI-specific workloads on more configurable 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.
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.
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.