The Coding Scene on Instagram: "🔁 Polling → Client keeps asking server repeatedly → Many unnecessary requests → High latency between updates → Wastes network & server resources → Not real-time 👉 Server works even when nothing changes ❌ ⸻ 🔗 WebSockets → Single persistent connection → Server pushes updates instantly → Low latency → Fewer network calls → True real-time communication 👉 Server responds only when data changes ✅ ⸻ 🔍 Key Difference Polling → Client asks again & again WebSockets → S
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The Coding Scene on Instagram: "🔁 Polling → Client keeps asking server repeatedly → Many unnecessary requests → High latency between updates → Wastes network & server resources → Not real-time 👉 Server works even when nothing changes ❌ ⸻ 🔗 WebSockets → Single persistent connection → Server pushes updates instantly → Low latency → Fewer network calls → True real-time communication 👉 Server responds only when data changes ✅ ⸻ 🔍 Key Difference Polling → Client asks again & again WebSockets → S
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The Coding Scene on Instagram: "🚦 Rate Limiting This puts a hard cap on requests. Once the limit is crossed → request is rejected (429). No waiting, no retries until the window resets. Used when security matters more than UX. Login, OTP, payment APIs. ⸻ 🐢 Throttling This controls traffic by slowing requests down. Requests are delayed or queued instead of rejected. System stays stable during traffic spikes. Used when UX can tolerate delay. Feeds, search, analytics. ⸻ 🔍 Key difference Rate limi
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Every second, Instagram receives lakhs of comments — especially on viral reels. But how does the system stay fast without crashing? Here’s the real engineering behind it 👇 🖥️ 1. Load Balancers When you comment, your request doesn’t hit a single server. A load balancer instantly distributes that traffic to multiple servers so no machine gets overloaded. This keeps Instagram fast and stable, even when millions comment at once. 📦 2. Distributed Servers Instagram runs on clusters of servers acros
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Every second, Instagram receives lakhs of comments — especially on viral reels. But how does the system stay fast without crashing? Here’s the real engineering behind it 👇 🖥️ 1. Load Balancers When you comment, your request doesn’t hit a single server. A load balancer instantly distributes that traffic to multiple servers so no machine gets overloaded. This keeps Instagram fast and stable, even when millions comment at once. 📦 2. Distributed Servers Instagram runs on clusters of servers acros
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