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Course Outline

  • Introduction.
  • Theoretical foundations of distributed systems.
    • Benefits and limitations.
    • Scalability and reliability capabilities.
    • Sharding and partitioning strategies.
  • Common architecture patterns.
    • 3-Tier architecture.
    • Sharding.
    • Streaming.
    • Lambda and Kappa models.
  • Distributed computing.
    • Stateless services.
    • Patterns for building scalable and reliable stateful services.
  • Scalable and highly reliable storage solutions.
    • NoSQL capabilities and types.
    • Data storage patterns for distributed, highly reliable, and scalable systems.
    • Redis lab exercises.
  • Scalable and highly reliable message bus.
    • Streaming and Event-Driven capabilities and types.
    • Patterns for event processing in distributed, highly reliable, and scalable systems.
    • Kafka lab.
  • Other critical architecture considerations.
  • Summary and conclusions.

Requirements

  • Familiarity with system architecture concepts.
  • Experience in designing small-scale systems or services.
  • At least 3 years of programming experience.

Target Audience

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

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