#infrastructure

Brouillon de traduction automatique (French) for "Base": The foundational infrastructure layer of the PlatPhorm News Network (base.platphormnews.com). Base provides core shared services — authentication, storage, and routing — that all other network nodes depend on.

“Exemple en brouillon: All network nodes authenticate through Base before accessing protected resources.”

Brouillon de traduction automatique (French) for "Edge Computing": A computing paradigm that processes data at or near its source — at the "edge" of the network — rather than sending it all to a central cloud datacenter. Edge computing reduces latency, lowers bandwidth costs, and enables real-time processing for users around the globe.

“Exemple en brouillon: Serving the API from edge nodes cut response times from 200ms to 20ms for international users.”

Brouillon de traduction automatique (French) for "Serverless": A cloud execution model where the provider manages server infrastructure automatically. Developers deploy individual functions that scale from zero to millions of invocations without provisioning or maintaining servers. "Serverless" doesn't mean no servers exist — just that you don't manage them.

“Exemple en brouillon: The app scaled to 100,000 concurrent users during the launch without any ops intervention, thanks to serverless.”

Brouillon de traduction automatique (French) for "Rate Limiting": A technique for controlling the frequency of requests a client can make to an API or service within a given time window. Rate limiting protects systems from abuse, prevents overload, and ensures fair resource allocation among consumers. Responses typically include headers indicating current usage and remaining quota.

“Exemple en brouillon: The API returned a 429 Too Many Requests error once rate limiting kicked in at 100 calls per minute.”

Brouillon de traduction automatique (French) for "Latency": The time delay between initiating an action and receiving the first response. In networking, latency is the round-trip time for a data packet; in AI, it often refers to time-to-first-token or end-to-end inference time. Lower latency means faster, more responsive user experiences.

“Exemple en brouillon: The new model has lower latency but slightly less accuracy — a classic speed/quality trade-off.”