Auto-sync: 2026-04-20 00:02
This commit is contained in:
35
wiki/entities/AWS-Instance-Scheduler.md
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35
wiki/entities/AWS-Instance-Scheduler.md
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---
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title: "AWS Instance Scheduler"
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type: entity
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tags:
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- AWS
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- Product
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- Cost-Optimization
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- FinOps
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date: 2026-04-19
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---
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## Aliases
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- AWS Instance Scheduler for AWS EC2
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- AWS Instance Scheduler for RDS
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## Definition
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AWS 官方提供的自动实例调度工具,通过定时启停 EC2 和 RDS 实例来降低非生产环境成本。
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## Details
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- **类型**:AWS 官方解决方案
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- **部署方式**:CloudFormation
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- **支持服务**:EC2、RDS
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- **触发机制**:CloudWatch Events(默认 15 分钟)
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- **配置存储**:DynamoDB
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## Relationships
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- 由 CCOE 集成在 Guardrails 部署方案中
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- 通过标签(Schedule、Period)关联实例
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## Related Concepts
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- [[Instance Scheduling]]
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- [[CloudWatch Events]]
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- [[DynamoDB Config Table]]
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## References
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@@ -22,3 +22,7 @@ AWS(Amazon Web Services)是亚马逊提供的全球最大公有云平台,
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- [[Kubernetes]] ← 支持(EKS)← [[AWS]]
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- [[Terraform]] ← 支持 ← [[AWS]]
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- [[Agentic AI]] ← 监控/分析 ← [[CloudWatch]]
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- [[Amazon Bedrock]] ← 提供服务 ← [[AWS]]
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- [[Amazon SageMaker]] ← 提供服务 ← [[AWS]]
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- [[AI]] ← 应用场景 ← [[AWS]]
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- [[Machine Learning]] ← 应用场景 ← [[AWS]]
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34
wiki/entities/Amazon-Kinesis.md
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34
wiki/entities/Amazon-Kinesis.md
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---
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title: "Amazon Kinesis"
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type: entity
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tags:
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- AWS
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- Data Stream
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- Real-time
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date: 2026-04-19
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---
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## Definition
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Amazon Kinesis 是 AWS 实时数据流处理服务,用于收集、处理和分析大量数据流。Kinesis Data Streams 可以实时处理 TB 级别的数据,适用于实时分析、日志和事件数据流等场景。
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## Core Services
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- **Kinesis Data Streams**:实时数据流处理
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- **Kinesis Data Firehose**:将数据加载到目标存储(S3、Redshift、Elasticsearch)
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- **Kinesis Data Analytics**:实时流数据分析( SQL 查询)
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- **Kinesis Video Streams**:视频流处理
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## Key Features
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- **实时处理**:毫秒级数据处理延迟
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- **顺序保证**:保证数据顺序
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- **持久存储**:默认保留 24 小时,可扩展至 7 天
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- **并行消费**:多个消费者可以并行读取不同分片
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## Use Cases
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- 日志和事件数据实时摄取
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- 实时分析仪表盘
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- 移动设备数据捕获
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- IoT 设备数据流处理
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## Aliases
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- AWS Kinesis
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- Kinesis Data Streams
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32
wiki/entities/Amazon-Q.md
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wiki/entities/Amazon-Q.md
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---
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title: "Amazon Q"
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type: entity
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tags:
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- AWS
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- AI-Assistant
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- Generative-AI
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date: 2024-11-12
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---
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## Profile
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- **Name**: Amazon Q
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- **Type**: AI 助手(AI-powered Assistant)
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- **Provider**: Amazon Web Services (AWS)
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- **Category**: 生成式 AI 应用
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## Description
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Amazon Q 是 AWS 提供的 AI 助手,主要有两种版本:
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### Amazon Q for Business
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- 连接多个数据源
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- 支持搜索、摘要和洞察提取
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- 维持现有权限控制
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### Amazon Q Developer
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- 专注于代码生成
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- 单元测试生成
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- 代码迁移
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## Connections
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- [[Amazon]] ← provides ← [[Amazon Q]]
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- [[Generative AI]] ← powers ← [[Amazon Q]]
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24
wiki/entities/Amazon-SNS.md
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wiki/entities/Amazon-SNS.md
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---
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title: "Amazon SNS"
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type: entity
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tags: [AWS, Event-Driven, Serverless, Pub/Sub]
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sources: []
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last_updated: 2026-04-19
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---
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## Summary
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Amazon SNS 是 AWS 的发布/订阅消息通知服务,支持一对多消息广播。
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## Definition
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Amazon Simple Notification Service(SNS)是 AWS 提供的完全托管式发布/订阅消息通知服务,支持一对多消息推送。
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## Key Attributes
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- **类型**:消息通知服务
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- **开发商**:AWS
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- **核心功能**:发布/订阅、主题订阅、消息推送、移动推送、邮件
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- **定价**:按请求和消息大小计费
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## Connections
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- [[AWS]] ← 提供 ← [[Amazon SNS]]
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- [[Lambda]] ← 触发 ← [[Amazon SNS]]
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- [[Amazon SQS]] ← 集成 ← [[Amazon SNS]]
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24
wiki/entities/Amazon-SQS.md
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wiki/entities/Amazon-SQS.md
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---
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title: "Amazon SQS"
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type: entity
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tags: [AWS, Event-Driven, Serverless, Queue]
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sources: []
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last_updated: 2026-04-19
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---
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## Summary
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Amazon SQS 是 AWS 的消息队列服务,提供点对点异步通信机制,实现服务间松耦合。
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## Definition
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Amazon Simple Queue Service(SQS)是 AWS 提供的完全托管式消息队列服务,支持分布式系统异步通信和服务解耦。
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## Key Attributes
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- **类型**:消息队列服务
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- **开发商**:AWS
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- **核心功能**:消息排队、点对点通信、消息持久化
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- **定价**:按请求数量计费
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- **队列类型**:标准队列(高吞吐)、FIFO 队列(先进先出)
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## Connections
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- [[AWS]] ← 提供 ← [[Amazon SQS]]
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- [[Lambda]] ← 触发 ← [[Amazon SQS]]
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29
wiki/entities/Atlantis.md
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29
wiki/entities/Atlantis.md
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---
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title: "Atlantis"
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type: entity
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tags: []
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||||
---
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## Aliases
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- Atlantis
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## Definition
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Atlantis 是一个开源、自托管的 Terraform CI/CD 自动化工具,旨在替代 Jenkins 进行基础设施部署。
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## Core Features
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- 通过 GitHub Pull Request 评论触发 plan/apply 工作流
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- 部署在单个 EC2 实例上(每个 Landing Zone 共享账户一台)
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- 使用服务账号与 GitHub 交互(发布评论、执行合并、关闭 PR)
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- 目录锁定机制防止并行冲突
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- 支持并行构建,多模块同时执行 plan 和 apply
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- 合并前应用(pre-merge apply)确保代码与基础设施同步
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## Use Cases
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- 替代 Jenkins 进行 Terraform 自动化部署
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- 多账户基础设施变更管理
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- GitOps 工作流实现
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## Connections
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- [[Jenkins]] — 被替代的 CI/CD 工具
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- [[Terraform]] — 主要管理的 IaC 工具
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- [[GitHub Enterprise]] — 集成的代码托管平台
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22
wiki/entities/Dr-Anil-Giri.md
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22
wiki/entities/Dr-Anil-Giri.md
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---
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title: "Dr. Anil Giri"
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type: entity
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tags: [AWS, Solutions Architect, Speaker]
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sources: []
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last_updated: 2026-04-19
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---
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## Summary
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AWS 解决方案架构师,主讲 Public Cloud Learning Sessions 事件驱动架构系列会议。
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## Definition
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Dr. Anil Giri 是 AWS 的解决方案架构师,专注于云计算、企业集成模式和事件驱动架构领域。
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## Role
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- **职位**:Solutions Architect
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- **雇主**:AWS
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- **专长**:Event-Driven Architecture、Enterprise Integration Patterns、AWS EventBridge
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## Connections
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- [[Dr. Anil Giri]] → 受雇于 → [[AWS]]
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- [[EventBridge]] → 解决方案提供 → [[Dr. Anil Giri]]
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18
wiki/entities/FPNA-Team.md
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wiki/entities/FPNA-Team.md
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---
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title: "FPNA Team"
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type: entity
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tags: []
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||||
---
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## Aliases
|
||||
- N/A
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## Role
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- 负责预算可用性验证的团队
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## Context
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FPNA 团队是 Oli 工作流三阶段审批流程的最后一个阶段,负责验证预算是否可用。在 FinOps 完成可行性验证、技术可行性验证后,FPNA 团队进行预算可用性验证。
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## Related
|
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- [[Public Cloud Learning Sessions - Ollie Workflow and The Demand Process]]
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- [[Demand Management]]
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wiki/entities/FinOps-Team.md
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25
wiki/entities/FinOps-Team.md
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---
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title: "FinOps Team"
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type: entity
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tags: []
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sources: [public-cloud-learning-sessions-reducing-cloud-costs-20250318-170100-meeting-reco]
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last_updated: 2026-04-19
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---
|
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## Aliases
|
||||
- N/A
|
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|
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## Role
|
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- 负责 Oli 工作流管理的团队,正在将工作流过渡到其管理之下
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- 负责云成本优化策略制定与实施
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|
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## Context
|
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FinOps 团队由 Tom Bice 领导,正在将 Oli 工作流流程整合到 SMACs 系统中。该团队负责云资源请求的可行性验证,是 Oli 工作流三阶段审批流程的第一阶段。
|
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|
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2025年3月,团队成员 Vinay 在 Public Cloud Learning Sessions 上分享了云成本优化策略,涵盖工作负载优化和费率优化。
|
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|
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## Related
|
||||
- [[Public Cloud Learning Sessions - Ollie Workflow and The Demand Process]]
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- [[Public Cloud Learning Sessions - Reducing Cloud Costs - 20250318]]
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- [[Tom Bice]]
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- [[Demand Management]]
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42
wiki/entities/Graviton.md
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42
wiki/entities/Graviton.md
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---
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title: "AWS Graviton"
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type: entity
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tags:
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- AWS
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- Processor
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- ARM
|
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- Cost-Optimization
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sources: []
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last_updated: 2026-04-19
|
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---
|
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|
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## Definition
|
||||
AWS Graviton 是亚马逊网络服务(AWS)基于 ARM64 架构开发的处理器系列,旨在提供更高的性价比和更低的功耗。
|
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|
||||
## Key Characteristics
|
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- 基于 ARM64 架构
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- 相比同类 x86 实例提供最高 40% 性价比优势
|
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- 相比同类 x86 实例减少最多 60% 功耗
|
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- 支持多种实例类型:计算优化型、内存优化型、通用型
|
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- AWS 已推出第四代 Graviton 处理器
|
||||
|
||||
## Supported Services
|
||||
- EC2 实例(R 系列、C 系列、M 系列等)
|
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- RDS(Aurora、PostgreSQL、MySQL 等)
|
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- Lambda
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- ElastiCache
|
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- DocumentDB
|
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|
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## Migration Considerations
|
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- 迁移到 RDS Aurora 等服务相对简单
|
||||
- 不适合有状态服务(如数据库)的场景需谨慎评估
|
||||
|
||||
## Aliases
|
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- AWS Graviton
|
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- Graviton Processor
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- ARM64 Processor
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|
||||
## Connections
|
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- [[AWS]] ← developed_by ← [[Graviton]]
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- [[EC2-Instance-Types]] ← includes ← [[Graviton]]
|
||||
- [[Cost-Optimization]] ← enables ← [[Graviton]]
|
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18
wiki/entities/MUI.md
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18
wiki/entities/MUI.md
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|
||||
---
|
||||
title: "MUI"
|
||||
type: entity
|
||||
tags: []
|
||||
---
|
||||
|
||||
## Aliases
|
||||
- N/A
|
||||
|
||||
## Role
|
||||
- 审批决策者之一,负责超大规模云服务商支出的书面审批
|
||||
|
||||
## Context
|
||||
在 Oli 工作流流程中,MUI 与 Shannon 共同拥有对任何超大规模云服务商支出的最终审批权,无论金额大小。这一审批要求适用于工程实验室空间或商业工作负载空间的资源请求。
|
||||
|
||||
## Related
|
||||
- [[Public Cloud Learning Sessions - Ollie Workflow and The Demand Process]]
|
||||
- [[Shannon]]
|
||||
21
wiki/entities/Mark-Francis.md
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21
wiki/entities/Mark-Francis.md
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|
||||
---
|
||||
title: "Mark Francis"
|
||||
type: entity
|
||||
tags:
|
||||
- Cloud
|
||||
- DevOps
|
||||
- CTP
|
||||
date Added: 2026-04-19
|
||||
---
|
||||
|
||||
## Summary
|
||||
Mark Francis 是 OpenText CTP(Cloud Transformation Program)的演讲者,主讲自动化基础设施测试相关主题。
|
||||
|
||||
## Role
|
||||
- CTP Topic 56 演讲者:自动化基础设施测试
|
||||
|
||||
## Sources
|
||||
- [[ctp-topic-56-automated-infrastructure-testing]]
|
||||
|
||||
## Aliases
|
||||
- Mark Francis
|
||||
@@ -17,6 +17,7 @@ Micro Focus 是一家企业软件公司,提供 SRE(站点可靠性工程)
|
||||
- [[CTP Topic 41 NFR's and Error Budgets]] — SRE 负责人 Brendan Standing 担任演讲者
|
||||
- [[CTP Topic 53 Why bother with Cloud]] — 云转型计划进展,成本优化与创新价值分析
|
||||
- [[CTP Topic 21 Supply Chain Security in Micro Focus]] — 产品安全小组 Shlomi Ben-Hur 主讲供应链安全
|
||||
- [[CTP Topic 24 Micro Focus Product Privacy Framework]] — 产品安全小组 Shlomi Ben-Hur 主讲产品隐私框架
|
||||
- [[Brendan Standing]] — Micro Focus SRE 负责人
|
||||
|
||||
## References
|
||||
|
||||
24
wiki/entities/Mike-Dukes.md
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24
wiki/entities/Mike-Dukes.md
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|
||||
---
|
||||
title: "Mike Dukes"
|
||||
type: entity
|
||||
tags:
|
||||
- AWS
|
||||
- Expert
|
||||
- Speaker
|
||||
sources: []
|
||||
last_updated: 2026-04-19
|
||||
---
|
||||
|
||||
## Definition
|
||||
Mike Dukes 是 AWS 专家,在 Public Cloud Learning Sessions 系列会议中担任演讲者,专注于云成本优化和 EC2 最佳实践主题。
|
||||
|
||||
## Role
|
||||
- AWS 解决方案架构师或技术专家
|
||||
- Public Cloud Learning Sessions 演讲者
|
||||
|
||||
## Sessions
|
||||
- [Public Cloud Learning Sessions - Best practices for EC2 cost optimization in AWS](sources/public-cloud-learning-sessions-best-practices-for-ec2-cost-optimization-in-aws-2.md)
|
||||
|
||||
## Connections
|
||||
- [[Public-Cloud-Learning-Sessions]] ← presented_by ← [[Mike-Dukes]]
|
||||
- [[AWS]] ← employs ← [[Mike-Dukes]]
|
||||
@@ -5,6 +5,7 @@ tags:
|
||||
- CTP
|
||||
- Platform
|
||||
- Support
|
||||
- FinOps
|
||||
date: 2026-04-19
|
||||
---
|
||||
|
||||
@@ -13,13 +14,20 @@ date: 2026-04-19
|
||||
- 角色:云转型计划核心技术团队
|
||||
- 职责:提供云环境支持、安全策略制定、协助产品组进行 POC
|
||||
|
||||
## 核心服务
|
||||
- **成本管理**:账单支付、showback/chargeback、预算管理
|
||||
- **成本优化**:组织级和账户级优化,包括购买 Reserved Instances 和识别未充分利用的资源
|
||||
- **治理与自动化**:集中式上线、策略开发、自动报告
|
||||
|
||||
## Aliases
|
||||
- Platform Control Group
|
||||
- PCG
|
||||
- Public Cloud Governance
|
||||
|
||||
## Connections
|
||||
- [[Gruntwork-Landing-Zone]] — 提供环境支持
|
||||
- [[CTP-Topic-20-Program-demand-process-flow-and-PoC-onboarding]]
|
||||
- [[Cloud-Health]] — 使用 Cloud Health 工具进行成本监控
|
||||
|
||||
---
|
||||
|
||||
|
||||
15
wiki/entities/Paul-Hopkins.md
Normal file
15
wiki/entities/Paul-Hopkins.md
Normal file
@@ -0,0 +1,15 @@
|
||||
---
|
||||
title: "Paul Hopkins"
|
||||
type: entity
|
||||
tags: [person, CTP]
|
||||
date: 2026-04-14
|
||||
---
|
||||
|
||||
## Summary
|
||||
OpenText/ Micro Focus 技术专家,CTP(Cloud Transformation Program)主题演讲者,主讲 Renovate Bot 自动化依赖管理。
|
||||
|
||||
## Aliases
|
||||
- Paul Hopkins
|
||||
|
||||
## Connections
|
||||
- [[CTP Topic 15 Working with Renovatebot]]:主讲人
|
||||
36
wiki/entities/Product-Team.md
Normal file
36
wiki/entities/Product-Team.md
Normal file
@@ -0,0 +1,36 @@
|
||||
---
|
||||
id: Product-Team
|
||||
title: "Product Team"
|
||||
type: entity
|
||||
entity_type: team
|
||||
tags:
|
||||
- DevOps
|
||||
- Landing-Zone
|
||||
- Cloud-Transformation
|
||||
last_updated: 2026-04-19
|
||||
---
|
||||
|
||||
## Aliases
|
||||
- Product Team
|
||||
- 产品团队
|
||||
|
||||
## Summary
|
||||
- **定义**:在 CTP 云转型计划中,负责特定产品或服务基础设施部署的团队
|
||||
- **角色**:拥有独立的 Landing Zone 和 Workload 账户,部署满足业务需求的基础设施
|
||||
- **云迁移价值**:通过团队级隔离实现职责分离和资源配置
|
||||
|
||||
## Key Details
|
||||
- **账户结构**:
|
||||
- Landing Zone Account:基础设施账户
|
||||
- Workload Account:工作负载账户
|
||||
- **典型团队**:
|
||||
- DevTools:部署 Artifactory、Active Directory 等
|
||||
- **Git 仓库**:
|
||||
- Core Landing Zone Repository:核心配置
|
||||
- Terraform Service Catalog:全局模块
|
||||
- Product Team Service Catalog:团队级模块
|
||||
|
||||
## Connections
|
||||
- [[Landing-Zone]] ← uses ← [[Product-Team]]
|
||||
- [[Service-Catalog]] ← provides ← [[Product-Team]]
|
||||
- [[Gruntwork]] ← reference ← [[Product-Team]]
|
||||
23
wiki/entities/Public-Cloud-Learning-Sessions.md
Normal file
23
wiki/entities/Public-Cloud-Learning-Sessions.md
Normal file
@@ -0,0 +1,23 @@
|
||||
---
|
||||
title: "Public Cloud Learning Sessions"
|
||||
type: entity
|
||||
tags: [学习, 培训, DevOps, 云转型]
|
||||
sources: [ctp-topic-2-git.md]
|
||||
last_updated: 2026-04-19
|
||||
---
|
||||
|
||||
## Definition
|
||||
Public Cloud Learning Sessions(公有云学习会议)是 OpenText 内部的技术学习会议系列,覆盖云转型、DevOps、SRE、AWS/Azure/GCP 等主题。每期会议由内部专家或外部嘉宾主讲,记录视频并整理为知识沉淀。
|
||||
|
||||
## Related Entities
|
||||
- [[OpenText]]:主办方
|
||||
- [[CTP]]:云转型计划,学习会议的主要推动者
|
||||
|
||||
## Related Concepts
|
||||
- [[DevOps 文化]]
|
||||
- [[CI/CD 流水线]]
|
||||
- [[GitOps]]
|
||||
|
||||
## Aliases
|
||||
- Learning Sessions
|
||||
- PCLS
|
||||
21
wiki/entities/SRE-Core-Team.md
Normal file
21
wiki/entities/SRE-Core-Team.md
Normal file
@@ -0,0 +1,21 @@
|
||||
---
|
||||
title: "SRE Core Team"
|
||||
type: entity
|
||||
tags: []
|
||||
sources: [Public-Cloud-Learning-Sessions-Budget-Control]
|
||||
last_updated: 2024-03-19
|
||||
---
|
||||
|
||||
## Aliases
|
||||
- N/A
|
||||
|
||||
## Role
|
||||
- 负责开发和维护预算控制自动化的 SRE 团队
|
||||
|
||||
## Context
|
||||
SRE Core Team(Daniela、Evan、Alan)在 2024 年 3 月 19 日的 Public Cloud Learning Sessions 上展示了预算控制自动化。该自动化提供账户所有者详细的支出警报和成本分析报告,实现 AWS 账户成本控制。
|
||||
|
||||
## Related
|
||||
- [[Public Cloud Learning Sessions - Budget Control - 20240319]]
|
||||
- [[FinOps Team]]
|
||||
- [[Budget Control]]
|
||||
18
wiki/entities/Shannon.md
Normal file
18
wiki/entities/Shannon.md
Normal file
@@ -0,0 +1,18 @@
|
||||
---
|
||||
title: "Shannon"
|
||||
type: entity
|
||||
tags: []
|
||||
---
|
||||
|
||||
## Aliases
|
||||
- N/A
|
||||
|
||||
## Role
|
||||
- 审批决策者之一,负责超大规模云服务商支出的书面审批
|
||||
|
||||
## Context
|
||||
在 Oli 工作流流程中,Shannon 与 MUI 共同拥有对任何超大规模云服务商支出的最终审批权,无论金额大小。这一审批要求适用于工程实验室空间或商业工作负载空间的资源请求。
|
||||
|
||||
## Related
|
||||
- [[Public Cloud Learning Sessions - Ollie Workflow and The Demand Process]]
|
||||
- [[MUI]]
|
||||
28
wiki/entities/Shikad-Holtzman.md
Normal file
28
wiki/entities/Shikad-Holtzman.md
Normal file
@@ -0,0 +1,28 @@
|
||||
---
|
||||
title: "Shikad Holtzman"
|
||||
type: entity
|
||||
tags:
|
||||
- AWS
|
||||
- Technical-Account-Manager
|
||||
- Public-Cloud-Learning-Sessions
|
||||
date: 2024-11-12
|
||||
---
|
||||
|
||||
## Profile
|
||||
- **Role**: Technical Account Manager(技术客户经理)
|
||||
- **Employer**: Amazon Web Services (AWS)
|
||||
- **Location**: 以色列(Israel)
|
||||
- **Expertise**: 生成式 AI、AWS 服务、企业创新
|
||||
|
||||
## Contributions
|
||||
在 2024 年 11 月 12 日的 Public Cloud Learning Sessions 中,Shikad Holtzman 分享了 AWS 生成式 AI 与提示词工程的主题,介绍了:
|
||||
- 生成式 AI 的常见用例
|
||||
- AWS 生成式 AI 服务(Amazon Q、Amazon Bedrock、Amazon SageMaker)
|
||||
- 提示词工程基础与技巧
|
||||
|
||||
## Aliases
|
||||
- Shikad
|
||||
|
||||
## Connections
|
||||
- [[Public Cloud Learning Sessions]] ← speaker ← [[Shikad Holtzman]]
|
||||
- [[Amazon]] ← employs ← [[Shikad Holtzman]]
|
||||
@@ -9,12 +9,14 @@ tags:
|
||||
---
|
||||
|
||||
## Definition
|
||||
Micro Focus 产品安全小组(Product Security Team)成员,主讲供应链安全相关议题。
|
||||
Micro Focus 产品安全小组(PSAC)成员,主讲供应链安全和产品隐私框架相关议题。
|
||||
|
||||
## Role
|
||||
- 产品安全专家(Product Security Expert)
|
||||
- 在 CTP Topic 21 中主讲软件供应链安全的新方法
|
||||
- 在 CTP Topic 24 中主讲产品隐私框架
|
||||
|
||||
## Related
|
||||
- [[Supply Chain Security]]
|
||||
- [[Product Privacy Framework]]
|
||||
- [[Micro Focus]]
|
||||
24
wiki/entities/Steele-Taylor.md
Normal file
24
wiki/entities/Steele-Taylor.md
Normal file
@@ -0,0 +1,24 @@
|
||||
---
|
||||
title: "Steele Taylor"
|
||||
type: entity
|
||||
tags:
|
||||
- AWS
|
||||
- Expert
|
||||
- Speaker
|
||||
sources: []
|
||||
last_updated: 2026-04-19
|
||||
---
|
||||
|
||||
## Definition
|
||||
Steele Taylor 是 AWS 专家,在 Public Cloud Learning Sessions 系列会议中担任演讲者,专注于云成本优化和 EC2 最佳实践主题。
|
||||
|
||||
## Role
|
||||
- AWS 解决方案架构师或技术专家
|
||||
- Public Cloud Learning Sessions 演讲者
|
||||
|
||||
## Sessions
|
||||
- [Public Cloud Learning Sessions - Best practices for EC2 cost optimization in AWS](sources/public-cloud-learning-sessions-best-practices-for-ec2-cost-optimization-in-aws-2.md)
|
||||
|
||||
## Connections
|
||||
- [[Public-Cloud-Learning-Sessions]] ← presented_by ← [[Steele-Taylor]]
|
||||
- [[AWS]] ← employs ← [[Steele-Taylor]]
|
||||
22
wiki/entities/Stephen-Frank.md
Normal file
22
wiki/entities/Stephen-Frank.md
Normal file
@@ -0,0 +1,22 @@
|
||||
---
|
||||
title: "Stephen Frank"
|
||||
type: entity
|
||||
tags:
|
||||
- AWS
|
||||
- AI
|
||||
- Speaker
|
||||
---
|
||||
|
||||
## Profile
|
||||
- Role: AWS AI 专家(AI Specialist)
|
||||
- Company: [[AWS]]
|
||||
- Expertise: AI 创新、数据利用、AI 应用案例加速
|
||||
|
||||
## Aliases
|
||||
- Stephen Frank
|
||||
|
||||
## Related Sources
|
||||
- [[Public Cloud Learning Sessions (OpenText) - AI Use Cases - 20241126]]
|
||||
|
||||
## Connections
|
||||
- [[AWS]] ← works_for ← [[Stephen-Frank]]
|
||||
23
wiki/entities/Suraav-Paul.md
Normal file
23
wiki/entities/Suraav-Paul.md
Normal file
@@ -0,0 +1,23 @@
|
||||
---
|
||||
title: "Suraav Paul"
|
||||
type: entity
|
||||
tags: [person, AWS, speaker]
|
||||
sources: [public-cloud-learning-sessions-introduction-to-artificial-intelligence-ai-machine-learning-20240206]
|
||||
last_updated: 2024-02-06
|
||||
---
|
||||
|
||||
## Summary
|
||||
Suraav Paul 是 AWS 高级解决方案架构师,专注于 AI/ML 领域。
|
||||
|
||||
## Definition
|
||||
AWS 高级解决方案架构师 (Senior Solutions Architect),在 Public Cloud Learning Sessions 中主讲 AI/ML 相关主题。
|
||||
|
||||
## Key Attributes
|
||||
- **类型**:个人
|
||||
- **职位**:高级解决方案架构师
|
||||
- **雇主**:AWS
|
||||
- **专长**:AI/ML、生成式 AI
|
||||
|
||||
## Connections
|
||||
- [[AWS]] ← 雇主 ← [[Suraav Paul]]
|
||||
- [[Amazon Bedrock]] ← 讲解 ← [[Suraav Paul]]
|
||||
24
wiki/entities/Victor-Etkin.md
Normal file
24
wiki/entities/Victor-Etkin.md
Normal file
@@ -0,0 +1,24 @@
|
||||
---
|
||||
title: "Victor Etkin"
|
||||
type: entity
|
||||
tags: [DevOps, GitOps, CTP]
|
||||
sources: [ctp-topic-33-an-introduction-to-gitops.md]
|
||||
last_updated: 2026-04-19
|
||||
---
|
||||
|
||||
## Role
|
||||
- DevOps 领域的演讲者和布道者
|
||||
|
||||
## Contributions
|
||||
- 在 CTP Topic 33 中介绍 GitOps 概念,阐述其如何补充和演进 DevOps
|
||||
|
||||
## Aliases
|
||||
- 无
|
||||
|
||||
## Related Concepts
|
||||
- [[GitOps]]
|
||||
- [[DevOps]]
|
||||
- [[CI/CD]]
|
||||
|
||||
## Related Sources
|
||||
- [[ctp-topic-33-an-introduction-to-gitops]] — GitOps 入门介绍
|
||||
Reference in New Issue
Block a user