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system-design's Introduction

System Design Notes

Key characteristics of Distributed systems

  1. Scalability
  2. Reliability
  3. Availability
  4. Efficiency
  5. Serviceability or Manageability

Load Balancing Algorithms

  • Reduces individual server load
  • Prevents single point of failure
  • LB should only forward requests to healthy servers
  1. Least Connection Method
  2. Least Response Time
  3. Least Bandwidth
  4. Round Robin
  5. Weighted RR
  6. IP Hash

Caching

  • Short term memory
  • Limited space
  • Can exist at multiple levels

App server Cache

CDN

Cache Invalidation

Cache Eviction Policies

Data Partitioning

  • process of breaking up database

Partitioning Methods

Partitioning Criteria

Common problems of Data partitioning

Indexes

Proxies

Redundancy & Replication

SQL vs NoSQL

CAP (Consistency, Availability & Partition Tolerance)

Consistent Hashing

Long Polls vs Web sockets vs Server Side Events (SSE)

Step - By - Step

  1. Requirement Clarifications
  2. System Interface Definitions
  3. Back of the envelope estimation
  4. Defining the Model
  5. High Level Design
  6. Detailed Design
  7. Identifying and resolving bottlenecks

system-design's People

Contributors

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Watchers

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Forkers

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