Designing Scalable Systems
Master the architectural patterns and design principles that power high-performance distributed systems.
Core Design Patterns
🧩
Microservices
Decompose monolithic applications into loosely coupled services enabling fast iterations and independent scaling.
🔁
Event Sourcing
Store changes as a series of events for auditability and rich data lineage in distributed systems.
🔁
CQRS
Separate command and query models optimize performance and simplify business logic implementation.
Design Principles
| Principle | Implementation |
|---|---|
| Fault Tolerance | Implement retries, circuit breakers, and fallback mechanisms |
| Scalability | Stateless services with horizontal scaling patterns |
| Consistency | Use eventual consistency models with distributed transactions |
Design Pattern Example
// Service discovery example implementing CAP Theorem principles
class ServiceDiscovery {
constructor({ mode = 'Eventual' }) {
this.mode = mode;
this.serviceRegistry = new Map();
this.heartbeatInterval = 30000;
}
registerService(serviceId, metadata) {
this.serviceRegistry.set(serviceId, {
...metadata,
lastSeen: Date.now()
});
}
discoverService(serviceType) {
if (this.mode === 'Strict') {
return this._discoverStrict(serviceType);
}
return this._discoverEventuallyConsistent(serviceType);
}
}
Design Resource Hub
📚 Patterns Book
In-depth exploration of 127 system patterns with real-world implementations.
Download PDF