Hybrid Cloud
An architecture that combines on-premises data center infrastructure with public cloud services, connected through networking and orchestration. Hybrid cloud allows organizations to keep sensitive data on-premises while leveraging cloud scalability for other workloads.
Hybrid cloud architectures typically arise from regulatory requirements, data sovereignty mandates, latency-sensitive workloads, or gradual cloud migration strategies. A consistent management layer across on-premises and cloud environments enables workload portability, unified monitoring, and consistent security policies. Technologies like Kubernetes and Terraform facilitate hybrid deployments by abstracting away infrastructure differences.
For AI product teams, hybrid cloud is often driven by data sensitivity requirements. Financial services, healthcare, and government organizations may require that user data and model training occur on-premises while serving inference from the cloud for scalability. Growth teams in regulated industries must design experiments within these constraints, potentially processing user behavioral data on-premises and exporting only aggregated, anonymized metrics to cloud-based analytics tools. The complexity of hybrid architectures demands investment in infrastructure automation and consistent deployment practices, as manually managing environments across on-premises and cloud quickly becomes unsustainable as the AI product scales.
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.
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.