Design a Rate Limiter: System Design Simplified

Understand Rate Limiter System Design like never before! In this video, we’ll break down how Rate Limiting helps APIs and distributed systems stay scalable, reliable, and abuse-free. Perfect for system design interviews, backend developers, and software engineers who want to master scalable architecture concepts. 🔍 Topics Covered: What is Rate Limiting? Why Rate Limiters are essential in distributed systems Popular algorithms (Token Bucket, Leaky Bucket, Sliding Window) Implementation strategies & trade-offs Real-world examples and interview questions Timestamps: 00:00- Title 00:06- What is a Rate Limiter 02:15- Why do we need a Rate Limiter 03:19- Functional Requirements 04:26- Non-Functional Requirements 05:55- DAU/MAU 06:48- Throughput 07:28- Storage and Memory 10:33- Network & Bandwidth Estimation 11:57- Placement of Rate Limiter 16:02- Basic High Level Design Flow 17:34- Storing Request Counters 19:35- Storing Rate Limiter Rules 22:11- Rate Limiting Algorithms 22:48- Token Bucket Algorithms 31:11- Leaky Bucket Algorithm 38:20- Fixed Window Counter Algorithm 43:13- Sliding Window Log Algorithm 52:02- Sliding Window Counter Algorithm 59:26- Handling Race Condition Stay in Touch: Website -: https://www.sweetcodey.com LinkedIn -:   / sweet-codey   Instagram -:   / sweetcodey   🎥 Subscribe to our channel for more such content:    / @sweetcodey   𝗗𝗼 𝗹𝗶𝗸𝗲, 𝘀𝗵𝗮𝗿𝗲 𝗮𝗻𝗱 𝗰𝗼𝗺𝗺𝗲𝗻𝘁! 𝗛𝗮𝗽𝗽𝘆 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴!! #SystemDesign #RateLimiter #ScalableSystems #BackendEngineering #SoftwareArchitecture #APIDesign #DistributedSystems #TechEducation #SystemDesignInterview #BackendDeveloper #HighPerformanceSystems #Scalability #CloudArchitecture