```html Tutorial: Distributed Systems

NLeTheon

Distributed Systems Fundamentals

Build scalable systems with practical examples in modern cloud environments. Learn the principles of distributed computing with hands-on examples.

What is a Distributed System?

A distributed system is a network of autonomous computers that communicate to achieve a common goal. Examples include microservices architectures, blockchain protocols, and distributed databases.

Key Characteristics

  • ✓ Multiple networked components
  • ✓ Concurrency management

Common Applications

  • ✓ Cloud computing
  • ✓ Edge computing

Key Challenges

Consistency

Ensuring all nodes agree on shared state

Latency

Time delay between network operations

Failure

Handling node outages and recovery

Practical Example: A Simple Distributed App

This example demonstrates a basic distributed voting system built on microservices architecture:


// Leader Election Service
docker run -d --name=vote-service \
  -p 6000:6000 \
  -e NODE_ID=1 \
  -e NODES=node1:6000,node2:6000 \
  registry.example.com/vote-service
  • • Node.js cluster with load balancing
  • • MongoDB sharding for horizontal scaling
  • • Redis cache for session consistency
  • • Kubernetes deployment manifests

CAP Theorem

In a distributed system, you can only guarantee two of these properties:

Consistency

All nodes see the same data at the same time

Availability

Guaranteed read/write response

Partition Tolerance

Continues during network failures

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