Episode notes
Why does a simple “Buy Now” click trigger a whole fintech orchestra? We unpack the tech behind modern payment gateways—auth flows, settlement, risk checks, and the whole vibe. Secure payments, but make it digestible.
Podcast
System Design Mastery
RaviRaaja Lakshmanan · Tech & Science · Tamil
Learn system design the practical way in Tamil. Each episode features a realistic interview-style conversation where complex concepts like caching, sharding, scalability, load balancing, and data flow are explained clearly using Tamil narration and English technical terms. Perfect for engineers prep
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S1 · E17 · 16 Dec 2025 · 14 min
Your News Feed Isn’t Random
That headline didn’t just show up by accident. In this episode, we explore how news aggregators like Google News work under the hood — from content ingestion and deduplication to ranking, freshness, and user personalization — all explained without corporate jargon
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S1 · E16 · 15 Dec 2025 · 9 min
LeetCode, But From the Backend
You solve the problems — but how does the platform work? This episode explores the system design behind a LeetCode-style platform, covering code execution, problem storage, user submissions, scaling, and reliability, all explained without the boring textbook energy.
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S1 · E15 · 14 Dec 2025 · 15 min
Clouded Thoughts: How Dropbox & Google Drive Actually Work
In this episode, we break down how modern file storage systems like Dropbox and Google Drive work — from syncing and version control to scalability and reliability — in a way that doesn’t feel like a lecture. Real systems, real problems, zero boring slides.
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S1 · E14 · 10 Dec 2025 · 16 min
The Doc That Never Sleeps
Ever typed in Google Docs and watched someone else edit mid-sentence ? We unpack the real-time magic behind collaborative editing—OT vs CRDTs, syncing state, conflict resolution, and how Docs stays smooth even when your group project is not.
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S1 · E13 · 9 Dec 2025 · 17 min
The K in OK - Top K Recommendation System
YouTube’s recommendation engine works overtime to find your personal top picks. We explore how it filters candidates, scores them, and ranks the winners—kind of like a talent show, but with neural networks and way less singing.
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S1 · E11 · 7 Dec 2025 · 16 min
Crawl Me Maybe
Ever wondered how websites get scraped, indexed, and turned into searchable magic? We break down web crawlers—how they think, how they roam, and why they occasionally break the internet. System design made fun, chaotic, and actually understandable.
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S1 · E10 · 6 Dec 2025 · 16 min
Next Up: Your New Addiction
YouTube’s recommendation engine is basically that friend who gets you. But how does it work? We decode the machine-learning magic, the watch-time traps, and the wild design behind what you click next. Nerdy, relatable, and dangerously bingeable.
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S1 · E9 · 5 Dec 2025 · 13 min
Cache Me If You Can
Welcome to Cache Me If You Can , the podcast where we break down the chaotic, beautiful world of distributed caching—no gatekeeping, no buzzword soup. Just real talk about scaling apps, avoiding outages, and surviving the latency monster. If you’re a dev, an architect, or just cache-curious, this pod’s for you.
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S1 · E8 · 4 Dec 2025 · 16 min
TradeStack – The Zerodha System Design Show
TradeStack breaks down the architecture and engineering behind modern trading platforms inspired by pioneers like Zerodha. Each episode dives into how real-time market data streams are handled, how order execution systems stay fast and reliable, and what it takes to design a low-latency trading platform that serves millions of users. Learn about microservices, OMS/RMS design, WebSocket scaling, risk engines, exchange integration, queuing systems, caching, distributed system challenges, and the tech decisions that make trading apps stable during peak volatility. Perfect for system designers,…
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S1 · E7 · 3 Dec 2025 · 10 min
Behind the Metrics: Architecting an Ad Click Aggregator
Ever wondered how advertising platforms count ad clicks so fast and so accurately? This episode explores the engineering and distributed systems magic that powers an Ad Click Aggregator . From Kafka streams to time-windowed aggregations, from fault tolerance to at-least-once semantics, we break it down in a practical and engaging way. Perfect for engineers and analytics enthusiasts.
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