arpitbbhayani/system-design-questions

A no-fluff and highly practical masterclass that reignites engineering curiosity and helps SDE-2, SDE-3, and above become great at designing, implementing,...

View on GitHub ↗Jump to charts ↓

arpitbbhayani/system-design-questions has 3k+ stars and 650+ forks on GitHub, is written in Python, and was last pushed on Jul 14, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 5 minutes ago
Type:Curated List / Learning ResourceCategory(s):Interview Prep & AlgorithmsEducation & Research ToolsLearning & Resources
Added to GitGenius on September 22nd, 2026
Created on October 19th, 2021
Open Issues & Pull Requests: 3 (+0)
GitHub issues: Enabled
Number of forks: 651
Total Stargazers: 3,158 (+0)
Total Subscribers: 79 (+0)

Repository Insights (GitGenius)

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

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

Top labels

No label distribution available yet.

Most active issues this week

Sign in to see which issues are moving.
Sign in

Detailed Description

System Design Questions is a practical masterclass resource that teaches engineers how to design, implement, and ship scalable, fault-tolerant, and highly available systems.

The resource addresses the gap between theoretical system design knowledge and real-world implementation skills. It provides hands-on material targeting mid-level and senior engineers who need to move beyond interview preparation into actual production system design. The approach combines coursework-style content with distributed systems concepts, offering practical guidance for building systems that handle real operational demands.

Engineers at the SDE-2 level and above who want to strengthen their system design capabilities in a workplace context should consider this resource. It suits those who have moved past entry-level roles and need to develop deeper expertise in scalability, fault tolerance, and high availability. The material is designed for practitioners who want to apply system design principles to actual projects rather than just interview scenarios.

The project maintains active engagement with the engineering community through participation in collaborative development initiatives. The repository includes coursework materials and system design project examples that demonstrate practical application of concepts. The codebase is written primarily in Python, providing concrete implementations alongside theoretical discussion.