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Course Outline

Introduction to Distributed Systems

  • Defining what constitutes a distributed system.
  • Key challenges: latency, consistency, and availability.
  • Survey of system components and communication models.

Principles of Scalability

  • Differences between vertical and horizontal scaling.
  • Load balancing and elastic resource management.
  • Scaling storage, compute power, and I/O operations.

Architectural Patterns

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

CAP Theorem and Consistency Models

  • Explanation of the CAP theorem.
  • Strong versus eventual consistency.
  • Making informed choices between consistency and availability.

Data Distribution and Storage Strategies

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

Communication and Coordination in Distributed Systems

  • Protocols such as REST, gRPC, and message brokers (e.g., Kafka, RabbitMQ).
  • Leader election and distributed consensus mechanisms.
  • Utilizing Zookeeper or etcd for system coordination.

Fault Tolerance and Reliability

  • Designing for failure and implementing graceful degradation.
  • Implementing retry mechanisms, timeouts, and circuit breakers.
  • Monitoring, observability, and chaos engineering practices.

Cloud-Native and Modern Implementation Practices

  • Containers, orchestration tools, and Kubernetes.
  • Principles of statelessness and immutability.
  • Best practices for securing distributed systems.

Summary and Future Steps

Requirements

  • A solid grasp of fundamental networking and system design principles.
  • Practical experience with standard software development practices.
  • Knowledge of cloud computing and API design is beneficial.

Target Audience

  • Software architects and technical team leads.
  • Backend engineers and DevOps specialists.
  • System designers developing scalable cloud-based applications.
 21 Hours

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