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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  1. Glossary of System Design

System Design Basics

Whenever we are designing a large system, we need to consider few things:

  1. What are different architectural pieces that can be used?

  2. How do these pieces work with each other?

  3. How can we best utilize these pieces, what are the right tradeoffs?

Investing in scaling before it is needed is generally not a smart business proposition; however, some forethought into the design can save valuable time and resources in the future. In the following chapters, we will try to define some of the core building blocks of scalable systems. Familiarizing these concepts would greatly benefit in understanding distributed system concepts. In the next section, we will go through Consistent Hashing, CAP Theorem, Load Balancing, Caching, Data Partitioning, Indexes, Proxies, Queues, Replication, and choosing between SQL vs. NoSQL.

Let’s start with Load Balancing.

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Last updated 5 years ago

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