Tech Insights

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Pro Tip: Always design for failure - your system will fail, plan for it

Architecture Patterns

Event-Driven Architecture

Decouple services using events and message queues

✅ Pros

  • Scalable
  • Loose coupling
  • Fault tolerant

❌ Cons

  • Complex debugging
  • Event ordering
  • Data consistency
Use Case: E-commerce order processing, real-time analytics

CQRS (Command Query Responsibility Segregation)

Separate read and write operations for better performance

✅ Pros

  • Optimized reads
  • Scalable
  • Flexible

❌ Cons

  • Complexity
  • Eventual consistency
  • Learning curve
Use Case: High-read applications, reporting systems

Saga Pattern

Manage distributed transactions across microservices

✅ Pros

  • Data consistency
  • Fault tolerance
  • Scalable

❌ Cons

  • Complex implementation
  • Debugging challenges
Use Case: E-commerce checkout, banking transactions

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