System Design Article
Practical guides on AI, DSA, full stack, cloud, and career growth.
Showing 17 articles
What Is a Load Balancer? A Beginner’s Guide With Real Examples and Code
From traffic police to Anycast routing — hardware, software, and cloud load balancers explained with real examples, not textbook definitions.
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GitHub Went Down for 24 Hours Because of CAP Theorem That You Learned in Just 5 Minutes
On October 21, 2018, GitHub had a network problem that lasted 43 seconds. That small problem caused GitHub to be broken for 24 hours and 11 minutes.
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Your API Is Fast. So Why Is Your System Still Slow?
The simple difference between latency, throughput, p90, p99, and scalability that every developer should understand
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What a Bad Flash Sale Taught Me About Latency and Throughput
The night a flash sale taught me that average latency is a lie, and throughput isn’t what most engineers think it is.
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Design a Stock Trading App — System Design Interview Question
How would you design a Groww/Zerodha-like platform that handles live stock prices, thousands of orders per second, failures, and massive traffic?
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What Really Happens When 1 Million Users Hit Your Website at the Same Time?
A beginner-friendly journey from one server to load balancers, microservices, queues, caching, databases, and CDNs.
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How Would You Design Ticketmaster? A System Design Interview Breakdown
If you think system design interviews are about drawing boxes and naming Kafka, Redis, and microservices, you are probably preparing the…
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You Don’t Need to Memorize System Design. You Need to Understand These 6 Ideas.
The moment I stopped memorizing Redis, Kafka, CAP, SQL, and other buzzwords, system design started making much more sense.
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I Would NOT Start Learning Low-Level Design With Design Patterns in 2026
If you are starting LLD from zero, this is the order I would follow — and why most beginners make it harder than it needs to be.
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Bigger Server or More Servers? Vertical vs Horizontal Scaling Explained
A practical comparison of scale-up and scale-out strategies, including performance, cost, resilience, load balancing, and data consistency
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