karanpratapsingh/system-design

Learn how to design systems at scale and prepare for system design interviews

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karanpratapsingh/system-design has 46k+ stars and 6k+ forks on GitHub and was last pushed on Jul 8, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 43 minutes ago
Type:Curated List / Learning ResourceCategory(s):Interview Prep & AlgorithmsEducation & Research ToolsLearning & Resources
Added to GitGenius on August 31st, 2026
Created on August 15th, 2022
Open Issues & Pull Requests: 3 (+0)
GitHub issues: Enabled
Number of forks: 6,082
Total Stargazers: 46,561 (+0)
Total Subscribers: 382 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.0 hours
Mean response time: 65.0 days
90th percentile: 259.8 days
Tracked items: 4

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

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Issue Activity (beta)

Open issues: 2
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 873 days
Stale 30+ days: 2
Stale 90+ days: 1

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • stale (4)
  • improvement (1)
  • misc (1)

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Detailed Description

System Design is a learning resource that teaches how to design systems at scale and prepares developers for system design interviews.

The resource addresses the need for structured knowledge about building large-scale systems by covering foundational networking concepts, database design patterns, architectural approaches, and operational concerns. It progresses from low-level concepts like IP and TCP through distributed systems fundamentals such as load balancing, caching, and replication, then moves into architectural patterns including microservices, event-driven architecture, and message-based communication. The material culminates in practical interview preparation through worked examples of real-world system designs.

This resource suits developers preparing for system design interviews or those seeking to understand how to architect systems that scale. It works well for someone building foundational knowledge across the full spectrum of concerns in distributed systems, from networking protocols through database consistency models to deployment strategies. The course structure allows both sequential learning and topic-specific reference, making it useful whether you need comprehensive preparation or targeted study of particular areas like sharding, service discovery, or disaster recovery.

Issue tracker activity centers on miscellaneous improvements and general enhancements to the material.