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Course Outline

  • Introduction.
  • Theoretical Aspects of Distributed Systems
    • Challenges and limitations.
    • Capabilities for scalability and reliability.
    • Sharding and partitioning strategies.
  • Popular Architecture Patterns
    • 3-Tier architecture.
    • Sharding.
    • Streaming.
    • Lambda and Kappa architectures.
  • Distributed Computing
    • Stateless services.
    • Patterns for building scalable and reliable stateful services.
  • Scalable and Highly Reliable Storage
    • NoSQL capabilities and data types.
    • Patterns for data storage in 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 Key Takeaways.

Requirements

  • Familiarity with system architecture concepts.
  • Hands-on 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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