System Design

1. Dark scale distributed system
2. Scaling
   1. Vertical
   2. Horizontal
   3. Auto
      1. pros and cons
3. Asynchronous system
   1. Queue system
4. Scaling database and server
5. Rate limiter vs Limiter
6. API Rate Limiting
   1. Token Bucket
      1. pros and cons
   2. Leaky Bucket
7. Concereny controller
8. Handling Failure

Theory

1. Components of System Design
   1. Logical
      1. Data
      2. Database
      3. Users
      4. Applications
      5. Cache
      6. Communication protocol
      7. Infra
      8. Message queues
      9. Presentation layer
   2. Tangible
      1. data - Text, image
      2. database - SQL, NoSQL
      3. App - Java, node
      4. Cache - Reddist, mem-cache
      5. Infra - AWS, GCP
      6. Comm - API, RPC, Message
      7. Queues - Kafka, RabbitMQ
2. Client Server Arch
   1. Thick and Thin client
   2. 2-Tier, 3-Tier, N-Tier Client
3. Fault and failure
   1. Fail safe
   2. Fault tolerant
   3. graceful fail
   4. Testings
   5. Transient vs Permanent fault

Other

1. Critical and non critical tasks