2 个仓库
Frameworks for designing schemas and federation strategies for data-intensive applications.
Distinct from Data Normalization Layers: Distinct from Data Normalization Layers: focuses on schema architecture and federation rather than simple data transformation.
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This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability. The framework distinguishes itself through its hierarchical agent registry and policy-driven
Designs schemas and federation strategies to support data-intensive applications across distributed environments.
该仓库是一个云架构设计的综合参考库,为构建可扩展、安全且高性能的环境提供标准化指导和技术蓝图。它作为一个中心化知识库,涵盖了针对云原生解决方案量身定制的工程模式、迁移策略和基础设施框架。 该平台通过一个组件驱动的文档系统脱颖而出,该系统利用元数据驱动的分类来组织复杂的架构指导。通过采用静态网站生成器,该项目将基于 Markdown 的内容编译成结构化的、全球分布式的 Web 体验,并通过分布式源代码管理促进同行评审和版本控制。 内容涵盖了广泛的技术领域,包括数据分析平台设计、生成式人工智能工作流编排以及混合云基础设施管理。它还提供了用于实施安全着陆区、建立云安全治理以及执行企业级采用策略的框架。
Provides architectural guidance for designing end-to-end data platforms and business intelligence solutions.