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Ai Lead on Instagram: "How do APIs survive millions of requests? 🤯 🚀 Ever wondered how APIs handle millions of requests without crashing? 🤔 Rate limiting is the superhero here! 🦸‍♂️ It’s like a traffic cop for APIs, ensuring smooth flow and preventing overload. 🔑 Key Takeaways: 1️⃣ Token Bucket Algorithm: Think of a bucket with tokens. Each request consumes one token. No tokens? Request denied! 🚫 2️⃣ Redis Counters: Resetting counters every minute to manage traffic efficiently. 🕒 3️⃣ HTTP
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Umar on Instagram: "As a side project, I decided to learn the Token Bucket algorithm and build a generic rate limiter. The idea was to make something I could reuse in future projects, not just my JIRA clone. Later I realized most of my other projects are in TypeScript… and yeah, that part was frustrating 😅 But honestly, I learned a lot from it. I really believe in learning by doing, not just prompting. AI has made things way too easy , we type a prompt and everything shows up. But real learning
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Umar on Instagram: "As a side project, I decided to learn the Tok…
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Instagramumartriedcoding
Sushant Kumbhar on Instagram: "💡 Answer: To restrict how many times a specific method can be invoked by any client to N times per minute, we can design a Rate Limiting Mechanism. This ensures system stability, fair resource usage, and prevents abuse (like DoS attacks or excessive API calls). ⚙️ 1️⃣ Algorithm Choice We can use one of the following algorithms: Token Bucket → Allows short bursts while enforcing average rate limit. Leaky Bucket → Smooths out request flow and enforces a constant rat
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Sushant Kumbhar on Instagram: "💡 Answer: To restrict how many tim…
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Sunchit Dudeja on Instagram: "Rate Limiting: Token bucket algorithm! #systemdesign #java ##ratelimiting Has someone ever done a DOS attack on your service?"
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