#infrastructure

机器辅助翻译草稿 (Chinese) 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.

“示例草稿: All network nodes authenticate through Base before accessing protected resources.”

机器辅助翻译草稿 (Chinese) 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.

“示例草稿: Serving the API from edge nodes cut response times from 200ms to 20ms for international users.”

Infrastructure Repository 是 GitOps 术语，用来说明 a repository containing infrastructure definitions and environment state. 它帮助团队、人和代理比较声明的源状态与正在运行的系统，再按证据行动，不把部署说成比实际更多。 来源: OpenGitOps principles.

“团队午饭前用了 Infrastructure Repository，发布就没有系着松鞋带冲进生产环境。”

机器辅助翻译草稿 (Chinese) 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.

“示例草稿: The new model has lower latency but slightly less accuracy — a classic speed/quality trade-off.”

机器辅助翻译草稿 (Chinese) 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.

“示例草稿: The API returned a 429 Too Many Requests error once rate limiting kicked in at 100 calls per minute.”

机器辅助翻译草稿 (Chinese) 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.

“示例草稿: The app scaled to 100,000 concurrent users during the launch without any ops intervention, thanks to serverless.”