Distributed SystemsMicroservicesProduction Ready8 lessons

Distributed Systems Fundamentals

Understand the core challenges introduced when a system runs across multiple machines.

Distributed Systems

Overview

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

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

Distributed System
Architecture
Client | v Service A ---- Service B | | v v Database Message Queue | v Replica

Distributed 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

  1. What is a distributed system?

Answer: A system made of multiple independent machines that coordinate to provide one service.

  1. What is partial failure?

Answer: Some components fail or become slow while others continue running.