BookMyShow System Design with CODE | Rate Limiting with Leaky Bucket in Depth | System Design
In this video, we explore the system design of BookMyShow, covering the key components like architecture, database design, caching, load balancing, and scalability.
The highlight is a deep dive into Rate Limiting, focusing on the Leaky Bucket Algorithm to handle API abuse, ensure fairness, and control request flow during high-demand ticket sales.
What You’ll Learn:
High-Level Architecture: Dive into the major components, including user service, event service, inventory management, payment gateway integration, and notification service.
Database Design: Understand the database schema for events, tickets, and user management. Learn how to design for scalability and data consistency using sharding and replication.
Caching Strategies: Improve system performance with Redis or Memcached for frequently accessed data like event details and user history.
Load Balancing: Learn how load balancers distribute traffic efficiently to prevent system overload.
Scalability Challenges: Discuss vertical and horizontal scaling techniques to handle massive traffic spikes during popular event releases.
Deep Dive into Rate Limiting (Leaky Bucket):
One of the critical challenges in systems like BookMyShow is preventing abuse and ensuring fairness during ticket sales for high-demand events. In this segment, we take a detailed look at:
What is Rate Limiting and why is it essential?
How the Leaky Bucket Algorithm works to control the request flow in distributed systems.
Step-by-step implementation of Leaky Bucket for:
Protecting APIs from overload.
Ensuring fairness among users.
Mitigating abuse such as ticket scalping.
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