Ritesh Roushan

Backend Interview Question: Which API design scales better? What's your choice?

@ritu_twts Ofcourse, when first page live without any error

every software developer's happiness started from this moment right ??😭

@AlfinCodes Understanding someone else code

What's the hardest part of programming? - algorithms - system design - debugging - understanding someone else's code

@ayesha_fatiima I those mean time, otp is in queue or sometimes sms provider delaying

Send OTP → nothing happens. Click Resend OTP → suddenly both OTPs show up together. What's the real bottleneck here?

@droidbuilds Build your self first, keep surround yourself who's talking about self development, finance, businesses etc. Everyone is distracted, so focus on yourself

I'm currently 21. Give me one piece of advice you'd wish you knew at my age. Could be about anything

I saw a man... He wasn't using AI. He was making AIs compete. Claude in one tab. ChatGPT in another. Gemini and DeepSeek waiting for their turn. Same prompt. Same question. Different answers. Bro turned a simple question into an AI Olympics. That man is me 👀😭

@dharmvir_ Great share bro 👍

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@Aditya_181105 Nope, Claude is legend

be honest, As a developer Is there any replacement better than Claude for coding ??

@tanujDE3180 Cursor based pagination Here is detailed explanation about pagination too devxritesh.medium.com/api-database-d…

A. GET /posts?page=10000 B. GET /posts?cursor=eyJpZCI6... One of these works fine at 1 million rows. The other still works at 1 billion rows. Which one are you choosing for scale ?

@Samaytwt I don't have problem, will switch domain

Vibe coders, what’s your backup plan if Ai writes better code than you in the next 1–2 years?

Most people answer: A) Database That's usually wrong. The first thing that fails is often the cache. Here's why 👇 1. Celebrity posts a tweet 50M followers. Millions immediately refresh. Everyone requests the same tweet. 2. Cache Miss Storm If the tweet isn't cached yet: Millions of requests hit Redis simultaneously. This is called a cache stampede. Suddenly: • Redis CPU spikes • Network saturation increases • Database gets hammered 3. Database Becomes the Next Victim After cache misses: - Millions of requests fall back to the database. - Now the database becomes overloaded. - Not because it's slow. Because the cache stopped protecting it. 4. How X/Twitter Handles This Request Flow: User ↓ CDN ↓ Load Balancer ↓ API Gateway ↓ Redis Cache ↓ Database Most reads never reach the database. 5. Celebrity Problem Normal users: - Fan-out on Write - Tweet gets pushed to follower timelines. - Fast reads. Celebrity users: - Fan-out on Read - Store the tweet once. - Generate timelines dynamically. Otherwise you'd write tens of millions of timeline entries. 6. Protection Layers • Redis caching • CDN edge caching • Request coalescing • Rate limiting • Read replicas • Queue-based timeline generation Production lesson: The database isn't usually the first thing that fails. The system fails when too many requests bypass the cache. Protect the cache. The cache protects everything else.

@ash_twtz Compatible and handy

@devXritesh Why that one ?

iPhone Models and Their Release Year • 🍏 iPhone - 2007 • 🌐 iPhone 3G - 2008 • 🚀 iPhone 3GS - 2009 • 💎 iPhone 4 - 2010 • ⭐ iPhone 4S - 2011 • 🎵 iPhone 5 - 2012 • 🌈 iPhone 5c - 2013 • 👑 iPhone 5s - 2013 • 📘 iPhone 6 - 2014 • ➕ iPhone 6 Plus - 2014 • ✨ iPhone 6s - 2015 • 🏆 iPhone 6s Plus - 2015 • 🎯 iPhone SE - 2016 • 🎧 iPhone 7 - 2016 • 📷 iPhone 7 Plus - 2016 • 🔋 iPhone 8 - 2017 • ⚡ iPhone 8 Plus - 2017 • 🔟 iPhone X - 2017 • 🌈 iPhone XR - 2018 • 💫 iPhone XS - 2018 • 🦅 iPhone XS Max - 2018 • 📸 iPhone 11 - 2019 • 🎬 iPhone 11 Pro - 2019 • 🚁 iPhone 11 Pro Max - 2019 • 🎯 iPhone SE (2nd generation) - 2020 • 🤏 iPhone 12 mini - 2020 • 🧲 iPhone 12 - 2020 • 💠 iPhone 12 Pro - 2020 • 🏅 iPhone 12 Pro Max - 2020 • 🪶 iPhone 13 mini - 2021 • 🎥 iPhone 13 - 2021 • 💎 iPhone 13 Pro - 2021 • 🚀 iPhone 13 Pro Max - 2021 • 🎯 iPhone SE (3rd generation) - 2022 • 🟣 iPhone 14 - 2022 • 🌟 iPhone 14 Plus - 2022 • ✨ iPhone 14 Pro - 2022 • 👑 iPhone 14 Pro Max - 2022 • 🔌 iPhone 15 - 2023 • 🌊 iPhone 15 Plus - 2023 • 🛸 iPhone 15 Pro - 2023 • 🏔️ iPhone 15 Pro Max - 2023 • 🤖 iPhone 16 - 2024 • 🌌 iPhone 16 Plus - 2024 • 🔥 iPhone 16 Pro - 2024 • 🐉 iPhone 16 Pro Max - 2024 • 💎 iPhone 16e - 2025 • 🪶 iPhone Air - 2025 • 🎉 iPhone 17 - 2025 • 🌠 iPhone 17 Pro - 2025 • 🏰 iPhone 17 Pro Max - 2025 • 🆕 iPhone 17e - 2026 Which iPhone is your favorite?

Read this for cache strategy in detail devxritesh.medium.com/caching-strate…

@neerajjj6785 Thanks bro 😊

@devXritesh Solid breakdown

@kunal_twts Yeah, cache is first to hit after heavy traffic

@devXritesh The first hit point is the cache

@neerajjj6785 Someone saying CSS is programming language 🤣

@kunal_twts They are gonna mad wth 😒

How many can do a POST request ?🙂

@ravikiran_dev7 @grok Why mark not @grok

Hey @grok remove the most evil and controversial entrepreneur from this image!

@SahilExec Exactly, after cache db will be next

@devXritesh So the cache is the real hero here, protecting the database from a stampede of requests

@SahilExec This regex is a classic ReDoS bomb "a@aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa..." will nuke your CPU.

A junior dev validates emails like this: Works perfectly for valid emails. What's the hidden vulnerability and how does an attacker use it to take down your server?