云计算技术栈
摘要:云计算技术栈涵盖基础设施、容器化、后端开发、数据库、网络与安全、DevOps、前端及AI服务。主要组件包括AWS/GCP/Azure云平台、Docker/Kubernetes容器技术、Python/Node.js后端框架、SQL/NoSQL数据库、API网关/IAM安全方案、CI/CD工具链、React/Vue前端框架及TensorFlow等AI服务。这一完整技术体系支持从底层架构到应用开发
云计算技术栈
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Infrastructure & Cloud Providers
├── AWS (EC2, S3, Lambda, RDS)
├── Google Cloud Platform (Compute Engine, Cloud Storage, Cloud Functions)
├── Microsoft Azure (Virtual Machines, Blob Storage, Azure Functions) -
Containerization & Orchestration
├── Docker for Containerization
├── Kubernetes for Orchestration
├── Helm for Kubernetes Package Management -
Backend Technologies
├── Programming Languages: Python, Node.js, Go
├── Web Frameworks: FastAPI, Express.js, Flask, Django
├── API Development: REST, GraphQL, gRPC -
Databases & Storage
├── SQL Databases: PostgreSQL, MySQL
├── NoSQL Databases: MongoDB, Redis, DynamoDB
├── Object Storage: AWS S3, Google Cloud Storage -
Networking & Security
├── API Gateway: Nginx, Kong, AWS API Gateway
├── Identity & Access Management: OAuth, AWS IAM, Auth0
├── SSL/TLS Encryption, WAF (Web Application Firewall) -
DevOps & CI/CD
├── CI/CD Tools: GitHub Actions, GitLab CI/CD, Jenkins
├── Infrastructure as Code: Terraform, CloudFormation, Pulumi
├── Monitoring & Logging: Prometheus, Grafana, ELK Stack -
Frontend & User Interface
├── Web Frameworks: React.js, Vue.js, Angular
├── Mobile Development: React Native, Flutter -
AI & Machine Learning (Optional)
├── TensorFlow, PyTorch for AI Models
├── Cloud AI Services: AWS SageMaker, Google AI Platform
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