Master System Design
Learn cloud infrastructure, distributed systems, and architecture patterns through interactive diagrams, visual comparisons, and decision-guided walkthroughs.
Fundamentals
Core distributed systems concepts: CAP theorem, consistency, scaling
Compute
VMs, serverless, containers, and Kubernetes
Databases
SQL, NoSQL, caching, replication patterns
Networking
VPC, DNS, load balancing, CDN
Messaging
Message queues, pub/sub, event-driven architecture
Decision Trees
Interactive guides: which database? serverless or not?
Quick Comparisons
Side-by-side analysis with "when to use" guidance
Amazon Web Services
EC2, S3, Lambda, RDS, EKS, and more
Google Cloud Platform
Compute Engine, Cloud Storage, GKE, and more
Key Concepts You'll Learn
Each with interactive diagrams and real-world examples
CAP Theorem
Consistency, Availability, Partition Tolerance trade-offs
Load Balancing
L4 vs L7, algorithms, health checks
Database Sharding
Horizontal scaling, partition strategies
Caching Patterns
Cache-aside, write-through, invalidation
Message Queues
When to use Kafka vs RabbitMQ vs SQS
Kubernetes
Pods, services, deployments, scaling