Overview of Rate Limiting | Protect your API's from Abuse.
In this video, you'll learn how Rate Limiting works and why it is essential for securing and stabilizing your APIs. If too many requests hit your API in a short time, your server can slow down or even crash. Rate limiting helps control traffic and prevents misuse. We will cover the core concepts of rate limiting, why it's important for modern APIs, and how developers can implement it to prevent abuse, improve performance, and protect backend resources. 📌 What you'll learn in this video: What is Rate Limiting Why APIs need Rate Limiting How Rate Limiting protects APIs from abuse and overload Load Shedding This concept is widely used in modern API architectures, microservices, and cloud-based applications to ensure reliability and security. 💡 Whether you're building APIs, microservices, or distributed systems, rate limiting is an essential technique every backend developer should know. 👍 If you found this helpful, Like, Share, and Subscribe for more content on .NET, API design, system design, and backend engineering. 00:00 Introduction 01:42 What is Rate Limiting ? 08:42 Infra vs Code Level Limiting 13:00 Load Shedding 15:00 Conclusion #ratelimiting #api #backenddevelopment #systemdesign #dotnet #softwarearchitecture #dotnetcore #dotnet #systemdesign #softwarearchitecture

Data Structures - Full Course for Beginners

Jake Stauch, Serval | theCUBE + NYSE Wired: Mixture of Experts

7 Authentication Concepts Every Developer Should Know

ISTC Meets Vladimir Izmalkov - The Diátaxis framework

Token Bucket Algorithm Explained | Rate Limiting Made Simple

Stop Prompting Claude. Use Karpathy's Method Instead.

What Nobody Tells You About Being a Quant

Reverse Proxy vs Load Balancer vs API Gateway: The Real Difference ?

Google & AWS Veteran: What Top Tier Software Architects Do Differently

.NET Core API Project Series | Part 1: Project Setup

System Design Explained: APIs, Databases, Caching, CDNs, Load Balancing & Production Infra

Rust for Dummies in 12 Minutes

How Instagram Scaled Postgres to 2 Billion Users

Every Frontend Architecture Pattern Explained in 23 Minutes

Refactoring a 500-Line Method with the Pipeline Pattern

Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker

Fundamentals of Backend Architecture - How to Design Scalable Software

I was laid off by Atlassian

System Design Explained: APIs, Databases, Caching, CDNs, Load Balancing & Production Infra

