課程簡介

Introduction to Distributed Systems

  • What is a distributed system?
  • Common challenges: latency, consistency, availability
  • Overview of system components and communication models

Scalability Principles

  • Vertical vs. horizontal scaling
  • Load balancing and elasticity
  • Scaling storage, compute, and I/O

Architectural Patterns

  • Client-server and multi-tier architectures
  • Service-oriented and microservice architectures
  • Event-driven architecture and message queues

CAP Theorem and Consistency Models

  • CAP theorem explained
  • Strong vs. eventual consistency
  • Choosing between consistency and availability

Data Distribution and Storage Strategies

  • Partitioning and sharding
  • Replication strategies and quorum reads/writes
  • Distributed databases and key-value stores

Communication and Coordination in Distributed Systems

  • REST, gRPC, message brokers (e.g., Kafka, RabbitMQ)
  • Leader election and distributed consensus
  • Using Zookeeper or etcd for coordination

Fault Tolerance and Reliability

  • Designing for failure and graceful degradation
  • Retry mechanisms, timeouts, and circuit breakers
  • Monitoring, observability, and chaos engineering

Cloud-Native and Modern Implementation Practices

  • Containers, orchestration, and Kubernetes
  • Statelessness and immutability
  • Best practices for distributed system security

Summary and Next Steps

最低要求

  • 了解基本的网络和系统设计概念
  • 具备一般软件开发的实践经验
  • 熟悉云计算和API设计者更佳

受众

  • 软件架构师和技术负责人
  • 后端工程师和DevOps专业人士
  • 构建可扩展云应用程序的系统设计师
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