100DaysOfSystemDesign

System Design is all about building reliable, scalable and maintainable systems.

Major Resources 📚

• Books
  • Designing data intensive applications
• Youtube Playlists
  • System Design By Gaurav Sen
• Github Repos
  • System Design primer
• Courses
  • Web Application and Software Architecture 101 (accessible using Github student dev pack)

Progress ⏳

Day 1

• Web Architecture basics
• Different Tiers in Software Architecture (module 2)

Day 2

• Web Architecture - (module 3)
  • client-server
  • types of clients
  • REST API
• HTTP PUSH, PULL

Day 3

• HTTP PULL - Polling with ajax - (module 3)
• Persistent Connection Approaches(HTTP PUSH)
  • HTTP Polling
  • HTTP Long polling
  • web socket
  • server send events
  • Streaming over HTTP

Day 4

• Scalability
  • what is scalability
  • horizontal vs vertical
  • scaling for global audience
    • vertical and horizontal scaling
    • isolation of services
    • CDN
    • Edge cache
    • Geo-DNS

Day 5

• Scalability- module 4
  • application latency vs n/w latency
  • Primary bottlenecks for scalability - databases, application architecture, caching, load balancers etc
• Performance vs scalability

Day 6

• Throughput vs Latency
  • Understanding Latency vs Througput
  • Measuring Latency: average, p90, p99 etc
    • Percentile Tail Latency

Day 7

• Availability vs Consistency
  • Understanding C,A,P
  • CAP Theorem

Day 8

• Eventual consistency vs strong consistency
• ACID vs BASE in Databases
• Further read on CAP theorem -
  • https://www.infoq.com/articles/cap-twelve-years-later-how-the-rules-have-changed/

Day 9

• High Availability- module 5
  • fault tolerance, redundancy, replication, HA clustering

Day 10

• Hashing
• Consistent Hashing
• Consistent Hashing

Day 11

• Load Balancing
• Load balancing using consistent hashing

Day 12

• Monolith vs Microservices - module 6

Day 13

• Reverse proxy web server
• Proxy vs Reverse Proxy

Day 14

• Databases - module 7
  • relational vs non relational, polyglot persistence, types of dbs

Day 15

• Database scaling using Replication
  • master-slave, master-master architecture
  • replication lag
  • synchronous vs async replication
  • replica vs snapshot

Day 16

• Database Sharding
  • vertical vs horizontal sharding
  • logical vs physical shards
  • sharding strategies - dynamic, algorithmic
  • advantages and pitfalls

Day 17

• Caching
  • client caching, web server caching, cdn caching etc
  • cache updating strategies

Day 18

• Introduction to Architecting systems for scale
  • Caching - Application vs database caching, in-memory caches, CDNs, Cache invalidation

Day 19

• Asynchronism & Message Queues

Day 20

• Publisher-Subscriber Model

Day 21

• URL-shortener