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Course Outline

  • Introduction
  • Theoretical Aspects of Distributed Systems
    • Pros and limitations
    • Scalability and reliability capabilities
    • Sharding and partitioning
  • Popular Architecture Patterns
    • 3-Tier architecture
    • Sharding
    • Streaming
    • Lambda and Kappa
  • Distributed Computing
    • Stateless services
    • Patterns for scalable and reliable stateful services
  • Scalable and Highly Reliable Storage
    • NoSQL capabilities and types
    • Patterns for data storage in distributed, highly reliable, and scalable systems
    • Redis lab exercises
  • Scalable and Highly Reliable Message Bus
    • Streaming/Event-Driven capabilities and types
    • Patterns for event processing in distributed, highly reliable, and scalable systems
    • Kafka lab
  • Other Important Architecture Aspects
  • Summary and Conclusions

Requirements

  • A foundational understanding of system architecture.
  • Experience in designing small-scale systems or services.
  • At least 3 years of programming experience.

Audience

  • Solution and Application Architects
  • Technical Leaders
  • Senior Engineers
 14 Hours

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