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Rate limiting with Code

🎥 System Design Playlist | Day 15 In this episode, the focus is on rate limiting, a core mechanism for building stable, secure, and scalable backend systems. 🚀 Topics Covered: 🔹 Why rate limiting is required in modern distributed systems 🔹 Token Bucket Algorithm – handling bursts efficiently 🔹 Leaky Bucket Algorithm – ensuring steady request flow 🔹 Fixed Window Counter – simple but with edge-case issues 🔹 Sliding Window Log – precise but memory intensive 🔹 Sliding Window Counter – optimized hybrid approach 🔹 Trade-offs, real-world use cases, and implementation insights ⏱️ Timestamps: 00:00 – Overview 00:29 – Why we need Rate Limiting 02:50 – Token Bucket Algorithm 11:20 – Leaky Bucket Algorithm 19:30 – Fixed Window Counter 24:54 – Sliding Window Log 30:30 – Sliding Window Counter 39:40 – Summary 📚 Watch the Full Playlist: 👉 System Design Playlist Link :    • System Design Playlist   🐳 Complete Docker Basics to Advanced: 👉 Docker Playlist Link :    • "Docker From Scratch to Core | Complete Be...   📸 Follow on Instagram for daily tech updates: 👉 Instagram Link :   / code_muni.ai   Check My YT Channel : ‪@Code_Muni‬ 💡 Watch till the end to understand how large-scale systems protect themselves from abuse and maintain performance using rate limiting strategies 🔔 Subscribe for More: Daily uploads on System Design, Backend Development, Docker, and DevOps #SystemDesign #RateLimiting #BackendDevelopment #Scalability #APIs #DistributedSystems #DevOps #SoftwareEngineering