System Design Questions

The repository contains a set of problem statements around Software Architecture and System Design as conducted by Arpit's System Design Masterclass.

Questions

• Design a Blogging Platform
• Design Online Offline Indicator
• Design Airline Check-in
• Design SQL backed KV Store
• Design Slack's Realtime Communication - NEW
• Design a Load Balancer
• Design Synchronized Queue Consumers
• Design an Image Service
• Design a HashTag Service
• Design OnePic
• Design Photo Tagging
• Design User Affinity
• Design Newly Unread Message Indicator
• Design a Distributed Cache
• Design a Word Dictionary
• Design a Superfast KV Store
• Design S3
• Design a Faster Superfast KV Store
• Design a Video Processing Pipeline for Steaming Service
• Design a Text-based Search Engine
• Design a service that serves Recent Searches for a user
• Design a Text-based Cricket Commentary Service
• Design a SQL backed Message Broker
• Design a Distributed Task Scheduler
• Design Flash Sale
• Design Counting Impressions at Scale
• Designing a Remote File Sync Service
• Designing a "who's near me" Service

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Arpit's System Design Masterclass

A no-fluff and highly practical masterclass that reignites engineering curiosity and helps SDE-2, SDE-3, and above become great at designing, implementing, and shipping scalable, fault-tolerant, and highly available systems at the workplace.

Key Details

• Every single system will be ideated, brainstormed, and designed practically
• The design will be how similar systems are actually built in production
• We will cover key implementation details and prototype every single system discussed
• Sessions are brainstorming-heavy and we naturally evolve our solution instead of going from question to answer
• We discuss all possible trade-offs and understand the right intuition for opting a trade-off over another
• Sessions go on for a minimum 3 hours and do not end until every single question is answered
• You will have lifetime access to the recordings irrespective of which course you choose
• The course is language agnostic, the prototypes will be in Go, but nothing very Go specific required to get the most out of it.

Hey, I am Arpit

engineering, databases, and systems. always building.

I am a software engineer and engineering leader passionate about applied AI and databases. Currently, I am a Principal Engineer II at Razorpay, working at the intersection of Data and AI, where I am building Agent Studio, which enables merchants to create AI agents while we provide the infrastructure and harness to run them reliably. I am also working on the Customer Data Platform and leading Merchant Developer Experience.

I am also building px0.ai, an open-source prompt infrastructure toolkit that lets you version, update, and govern prompts in production, eliminating the need to hardcode prompts or redeploy your application for prompt changes.

Previously, I was a Staff Engineer at Google, where I worked on GCP Memorystore and GCP Dataproc. On the side, I am building - DiceDB, a fork of Valkey with multi-tiering and query subscriptions. I also spend time on independent research, publishing my work on ArXiv. My areas of interest include databases, approximate algorithms, and distributed systems.

In 2024, I took a leap of faith and co-founded Profile.fyi, which was later acquired by Mercor. I was part of Amazon's Fast Data Team, where I worked on cold tiering of hot data and developed a seamless query interface across all storage tiers.

I held engineering leadership positions (both IC and management) at Unacademy, where I built, grew, and led Search, Site Reliability Engineering (SRE) teams, and Data Engineering teams. I hold a total of 12+ years of experience in scaling backend services, taking products and teams from 0 to 1, and beyond.

I keep diving deep into engineering details and share my learnings through 166+ blogs, socials and, 250+ no-fluff engineering videos on YouTube, breaking down System Design, Database Internals, Microservices, BitTorrent Internals, Redis Internals, Research Papers, and the trade-offs behind real-world production systems.