A distributed system is a collection of independent machines that work together to appear as one system. Distributed systems enable scale, availability, and fault isolation, but introduce partial failure, latency, concurrency, and coordination complexity.
Distributed Systems Fundamentals
Understand the core challenges introduced when a system runs across multiple machines.
Distributed Systems
Overview
Distributed Systems
Why It Matters
Most modern backend architectures are distributed: microservices, replicated databases, caches, queues, search clusters, and regional deployments. Engineers must design for failures that do not happen in single-process programs.
Distributed Systems
Architecture Diagram
Client
|
v
Service A ---- Service B
| |
v v
Database Message Queue
|
v
ReplicaDistributed Systems
Real World Example
A ride-sharing application uses separate services for riders, drivers, matching, pricing, payments, notifications, and maps. Each service can fail independently, so the architecture needs timeouts, retries, fallbacks, and monitoring.
Distributed Systems
Production Notes
Distributed Systems
Best Practices
Distributed Systems
Tradeoffs
Distributed Systems
Interview Questions
- What is a distributed system?
Answer: A system made of multiple independent machines that coordinate to provide one service.
- What is partial failure?
Answer: Some components fail or become slow while others continue running.