architecture-paradigm-client-server

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For traditional applications that have centralized services, such as web or mobile clients communicating with backend APIs.
For systems exploring decentralized or "offline-first" capabilities that rely on peer-to-peer synchronization.
To formally document trust boundaries, client-server version negotiation, and API evolution strategies.

Define Responsibilities: Clearly delineate which logic and data reside on the client versus the server, with the goal of minimizing duplication.
Document the Contracts: Formally document all APIs, data schemas, authentication flows, and any capability negotiation required for handling different client versions.
Plan for Version Skew: Implement a strategy to manage different client and server versions, such as using feature flags,
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Accept
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headers for content negotiation, or semantic versioning for APIs.
Address Connectivity Issues: If the application is not purely client-server, design for intermittent connectivity. This may involve implementing offline caching, data synchronization protocols, or peer discovery and membership services.
Secure All Communications: Enforce the use of TLS for all data in transit. Implement authorization policies, rate limiting, and detailed telemetry for every endpoint.

定义职责：明确划分客户端与服务器各自的逻辑和数据范围，以最小化重复为目标。
记录契约：正式记录所有API、数据 schema、认证流程，以及处理不同客户端版本所需的任何能力协商机制。
规划版本偏差处理：实施策略来管理客户端与服务器的版本差异，例如使用功能标志、用于内容协商的
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Accept
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头，或API的语义化版本控制。
解决连接性问题：若应用并非纯客户端-服务器架构，需针对间歇性连接进行设计。这可能包括实现离线缓存、数据同步协议，或节点发现与成员管理服务。
保障所有通信安全：强制要求所有传输中的数据使用TLS加密。为每个端点实施授权策略、速率限制和详细的遥测机制。

An Architecture Decision Record (ADR) that covers the roles of clients, servers, and peers, defines the trust boundaries, and outlines deployment assumptions.
Formal API or protocol specifications, along with a suite of compatibility tests.
Runbooks detailing the coordination required for rollouts, such as client release waves, backward-compatibility support, or operational procedures for a peer-to-peer network.

"Chatty" Clients:
- Mitigation: A client making too many small requests can lead to poor performance. Consolidate API calls using patterns like the Façade or Gateway, and implement caching strategies on the client or at the network edge.
"Thick" Clients with Duplicated Logic:
- Mitigation: When clients contain too much business logic, it often becomes duplicated and out-of-sync with the server. Share validation logic by packaging it in a common library or move the rules definitively to the server.
Peer-to-Peer Data Conflicts:
- Mitigation: In a peer-to-peer model, data conflicts are inevitable. Design formal conflict resolution strategies (e.g., CRDTs, last-write-wins) and consensus mechanisms from the beginning.

“频繁请求”的客户端：
- 缓解方案：客户端发送过多小请求会导致性能下降。使用外观模式（Façade）或网关模式整合API调用，并在客户端或网络边缘实现缓存策略。
包含重复逻辑的“胖客户端”：
- 缓解方案：当客户端包含过多业务逻辑时，往往会出现重复且与服务器逻辑不同步的问题。通过将验证逻辑打包到公共库中实现共享，或明确将规则迁移至服务器端。
点对点数据冲突：
- 缓解方案：在点对点模型中，数据冲突不可避免。从设计初期就制定正式的冲突解决策略（如CRDTs、最后写入获胜原则）和共识机制。

Command not found Ensure all dependencies are installed and in PATH

Permission errors Check file permissions and run with appropriate privileges

Unexpected behavior Enable verbose logging with

--verbose

flag

命令未找到 确保所有依赖项已安装且已添加至PATH环境变量

权限错误 检查文件权限并使用适当权限运行

意外行为 使用

--verbose

标志启用详细日志