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Course Outline

  • Introduction
  • Theoretical Foundations of Distributed Systems
    • Latency and limitations
    • Scalability and reliability capabilities
    • Sharding and partitioning strategies
  • Popular Architecture Patterns
    • 3-Tier architecture
    • Sharding
    • Streaming architectures
    • Lambda and Kappa architectures
  • 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 and Event-Driven capabilities and types
    • Patterns for event processing in distributed, highly reliable, and scalable systems
    • Kafka Lab
  • Additional Critical Architecture Aspects
  • Summary and Conclusions

Requirements

  • Familiarity with system architecture concepts.
  • Hands-on experience in designing small-scale systems or services.
  • Minimum of 3 years of programming experience.

Target Audience

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

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