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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, fintech developers, backend engineers, and anyone preparing for high-level system design interviews.
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.
In this episode, we break down the real-time system architecture behind ultra-fast delivery platforms like Gopuff, Blinkit, and Zepto. We explore how these companies scale dark stores, manage inventory accuracy, optimize delivery routes, handle surge demand, and maintain ultra-low latency order fulfillment. This is a deep-dive, interview-style walkthrough ideal for anyone preparing for system design interviews.
Sold! is the definitive podcast for anyone curious about the technology, architecture, and engineering behind modern online auction platforms. Whether you’re a system designer, developer, product builder, or tech enthusiast, this show takes you deep into the systems that power real-time bidding, high-traffic marketplaces, payment flows, fraud detection, and scalable data architectures.
Short links, long conversations. We discuss how URL shortening transforms marketing, boosts conversions, and simplifies user journeys. Perfect for marketers, developers, and anyone building better links.
Ever wondered how massive systems schedule thousands of tasks every second? In this episode, our duo explores the system design of a distributed job scheduler—unpacking queues, workers, heartbeat mechanisms, leader election, consistency models, and more. An intuitive, story-driven breakdown of one of the most essential components in modern distributed systems.
A conversational deep-dive into how modern dating services are engineered. Join our duo as they walk through a real-world system design interview centered around building a Tinder-like dating platform. From user matching to real-time recommendations and scalable architecture, this episode breaks down complex concepts in a simple, intuitive way. Perfect for tech enthusiasts, interview preppers, and anyone curious about what happens behind the swipe.
Ever wondered how platforms like Ticketmaster handle millions of users rushing to book the same seat at the same moment? In this episode, we explore the architecture, data flow, and strategies that make high-demand ticketing possible. Learn about seat locking, transactions, queues, rate limiting, and designing for massive spikes.
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