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 Duration 21 hours

Course Outline

Fundamentals of Distributed Systems

  • Definition and scope of distributed systems
  • Core operational challenges: network latency, data consistency, and service availability
  • Summary of essential system components and communication frameworks

Principles of Scalability

  • Vertical versus horizontal scaling methodologies
  • Implementation of load balancing and elastic resource management
  • Optimizing storage, compute resources, and input/output operations

System Architectural Patterns

  • Client-server models and multi-tier system designs
  • Service-oriented architecture and microservice frameworks
  • Event-driven design and message queuing mechanisms

Consistency Models and the CAP Theorem

  • Analytical explanation of the CAP theorem
  • Differentiating between strong consistency and eventual consistency
  • Strategic selection of trade-offs between consistency and availability

Data Distribution and Storage Methodologies

  • Techniques for data partitioning and sharding
  • Replication methods and quorum-based read/write protocols
  • Utilization of distributed databases and key-value storage systems

Communication and Coordination Mechanisms

  • Protocols including REST, gRPC, and message brokers such as Kafka and RabbitMQ
  • Processes for leader election and distributed consensus
  • Leveraging Zookeeper or etcd for system coordination

Fault Tolerance and System Reliability

  • Designing for failure scenarios and graceful degradation
  • Implementing retry logic, timeout management, and circuit breakers
  • Strategies for monitoring, observability, and chaos engineering

Cloud-Native Implementation and Modern Practices

  • Containerization, orchestration, and Kubernetes management
  • Principles of statelessness and immutable infrastructure
  • Security best practices for distributed system environments

Conclusion and Future Directions

Requirements

  • Proficiency in fundamental networking principles and system design concepts
  • Practical experience with standard software development lifecycles
  • Working knowledge of cloud computing environments and API design is advantageous

Target Audience for Government

  • Software architects and technical leads
  • Backend engineers and DevOps specialists
  • System designers responsible for building scalable cloud-based applications

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