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Course Outline

  • Introduction
  • Theoretical foundations of distributed systems
    • Flaws and limitations
    • Scalability and reliability capabilities
    • Sharding and partitioning
  • Commonly used architecture patterns
    • 3-Tier architecture
    • Sharding
    • Streaming
    • Lambda & 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 messaging bus
    • Streaming / Event-Driven capabilities and types
    • Patterns for event processing in distributed, highly reliable, and scalable systems
    • Kafka lab
  • Other critical architectural considerations
  • Summary and conclusions

Requirements

  • Foundational understanding of system architecture.
  • Hands-on experience designing small-scale systems or services.
  • Minimum of 3 years of programming experience.

Audience

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

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