System Design
  • Introduction
  • Glossary of System Design
    • System Design Basics
    • Key Characteristics of Distributed Systems
    • Scalability - Harvard lecture
      • Scalability for Dummies - Part 1: Clones
      • Scalability for Dummies - Part 2: Database
      • Scalability for Dummies - Part 3: Cache
      • Scalability for Dummies - Part 4: Asynchronism
    • Trade-off
      • CAP Theorem
      • Performance vs scalability
      • Latency vs throughput
      • Availability vs consistency
    • Load Balancing
      • Load balancer
    • Proxies
      • Reverse proxy
    • Cache
      • Caching
    • Asynchronism
    • Processing guarantee in Kafka
    • Database
      • Relational database management system (RDBMS)
      • Redundancy and Replication
      • Data Partitioning
      • Indexes
      • NoSQL
      • SQL vs. NoSQL
      • Consistent Hashing
    • Application layer
    • DNS
    • CDN
    • Communication
      • Long-Polling vs WebSockets vs Server-Sent Events
    • Security
    • Lambda Architecture
  • OOD design
    • Concepts
      • Object-Oriented Basics
      • OO Analysis and Design
      • What is UML?
      • Use Case Diagrams
    • Design a parking lot
  • System Design Cases
    • Overview
    • Design a system that scales to millions of users on AWS
    • Designing a URL Shortening service like TinyURL
      • Design Unique ID Generator
      • Designing Pastebin
      • Design Pastebin.com (or Bit.ly)
    • Design notification system (scott)
      • Designing notification service
    • Designing Chat System
      • Designing Slack
      • Designing Facebook Messenger
    • Design Top K System
    • Designing Instagram
    • Design a newsfeed system
      • Designing Facebook’s Newsfeed
      • Design the data structures for a social network
    • Designing Twitter
      • Design the Twitter timeline and search
      • Designing Twitter Search
    • Design Youtube - Scott
      • Design live commenting
      • Designing Youtube or Netflix
    • Designing a Web Crawler
      • Designing a distributed job scheduler
      • Designing a Web Crawler/Archive (scott)
      • Design a web crawler
    • Designing Dropbox
    • Design Google Doc
    • Design Metrics Aggregation System
      • Design Ads Logging System
    • Design Instacart
    • Design a payment system
      • Airbnb - Avoiding Double Payments in a Distributed Payments System
    • Design Distributed Message Queue
      • Cherami: Uber Engineering’s Durable and Scalable Task Queue in Go
    • Design Distributed Cache
      • Design a key-value cache to save the results of the most recent web server queries
    • Design a scalable file distribution system
    • Design Amazon's sales ranking by category feature
    • Design Mint.com
    • Design Autocomplete System
      • Designing Typeahead Suggestion
    • Designing an API Rate Limiter
      • Designing Rate Limiter
    • Design Google Map
      • Designing Yelp or Nearby Friends
      • Designing Uber backend
    • Designing Ticketmaster
      • Design 12306 - Scott
    • Design AirBnB or a Hotel Booking System
  • Paper Reading
    • MapReduce
  • Other Questions
    • What happened after you input the url in the browser?
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  • Vertical Scaling
  • Horizontal Scaling
  • load balancer
  • Sticky sessions - 断电之类的 single failure
  • Caching
  • Replication

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  1. Glossary of System Design

Scalability - Harvard lecture

PreviousKey Characteristics of Distributed SystemsNextScalability for Dummies - Part 1: Clones

Last updated 5 years ago

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Vertical Scaling

  • CPU: cores, L2 cache

  • Disk

  • RAM

Horizontal Scaling

  • multiple servers

  • then we need to distribute requests - load balancer

load balancer

  • round robin is not so good if there's some heavy users in specific server

  • RAID (redundant array of independent disks) - RAID works by placing data on multiple disks and allowing input/output (I/O) operations to overlap in a balanced way, improving performance. Because the use of multiple disks increases the mean time between failures (MTBF), storing data redundantly also increases fault tolerance.

  • Software: ELB, HAProxy

  • Hardware

Sticky sessions - 断电之类的 single failure

  • shared storage

  • cookies

Caching

  • .html

  • MySQL Query Cache

  • memcached

Replication

  • Master-slave

  • Master-master

https://www.youtube.com/watch?v=-W9F__D3oY4