Complete Software Architecture & System Design Course — From Fundamentals to Distributed Systems
Build real-world architecture skills and master every pattern needed for system design interviews.
Module 1
Core concepts every system design discussion starts with: scalability, reliability, CAP theorem, and back-of-the-envelope estimation.
Module 2
How data moves through the internet: DNS resolution, CDNs, load balancing, API design patterns, and real-time communication protocols.
Module 3
Everything about persisting data: relational databases, NoSQL variants, sharding, replication, and choosing the right storage for your workload.
Module 4
Speed up reads and reduce load: caching strategies, eviction policies, distributed caches, and the hardest problem in CS — cache invalidation.
Module 5
Decouple services and handle async workloads: message queues, pub/sub, Kafka, stream processing, and retry patterns.
Module 6
The big-picture blueprints: from monoliths to microservices, layered architectures to serverless, and how to choose the right style.
Module 7
Patterns for managing data in distributed systems: CQRS, event sourcing, materialized views, sagas, and strategies for maintaining consistency across services.
Module 8
How to break apart monoliths and connect services: strangler fig migration, API gateways, BFF, sidecar pattern, and anti-corruption layers.
Module 9
Build systems that survive failures: circuit breakers, bulkheads, retries, throttling, and queue-based load leveling for graceful degradation.
Module 10
Patterns that make systems fast and scalable: cache-aside, write-behind, index tables, claim check, and pipes-and-filters processing.
Module 11
How services talk to each other: pub/sub, request-reply, message brokers, fan-out, and patterns for reliable asynchronous communication.
Module 12
Architectural patterns for securing distributed systems: federated identity, gatekeeper, valet key, and token-based authentication flows.
Module 13
Patterns for safe deployments and operational excellence: blue-green, canary, feature flags, immutable infrastructure, and external configuration.
Module 14
The theoretical foundations of distributed computing: consensus algorithms, consistent hashing, vector clocks, and probabilistic data structures.
Module 15
Running systems in production: containers, orchestration, service mesh, CI/CD, observability, and chaos engineering for reliability validation.
Module 16
Securing systems end-to-end: authentication, authorization, rate limiting, encryption, DDoS protection, and zero trust architecture.
Module 17
Apply everything you've learned: classic system design problems broken down step by step with architecture diagrams and trade-off analysis.
Module 18
How to ace the system design interview: frameworks, time management, communication strategies, common mistakes, and company-specific preparation.