Here’s a structured format for your System Design Workshop lecture, similar to the example you provided:
System Design Workshop: Case Study – URL Shortener Systems
In previous lectures, we’ve built a strong foundation in system design by covering core concepts, patterns, and theories. Congratulations on completing the theory portion!
Now, it’s time to dive into practical applications! We’ll begin working through case studies on various systems, which will help us understand and solve real-world system design challenges.
For today’s lecture, we’re focusing on a case study of URL shortener systems like bit.ly and cut.ly. Before we dive into the case study, we’ll cover a few important prerequisites that will set us up for practical problem-solving.
Today’s Topics:
- System Design Interview Tips
- System Design Patterns
- Case Study: URL Shortener System
Video Link: The link to this lecture video will be shared in the comments. Before you start watching, take a moment to think about how a URL shortener might be created. This thought exercise will enhance your understanding as you watch the case study unfold.
If you enjoy the video, please share it with your friends. Stay tuned to Stack Learner for more valuable content!
Timestamps:
00:00:00 Intro
00:02:11 Let’s Begin
00:02:42 System Design Interview Tips
00:07:38 Structuring an Interview Response
00:08:35 Requirements Clarification
00:10:04 Functional Requirements
00:10:22 Non-Functional Requirements
00:10:48 Extended Requirements
00:11:32 Estimation and Constraints
00:12:38 Designing the Data Model
00:16:25 API Design Overview
00:18:46 High-Level Component Design
00:23:07 Identifying and Resolving Bottlenecks
00:26:24 Case Study Part 1 – URL Shortener Overview
00:29:16 What is a URL Shortener?
00:30:00 Why Do We Need a URL Shortener?
00:31:53 Requirements for a URL Shortener
00:33:44 Estimations & Constraints Analysis
00:34:26 Traffic Handling
00:37:20 Bandwidth Considerations
00:39:08 Storage Requirements
00:41:57 Caching Mechanisms
00:44:41 High-Level Estimation Techniques
00:45:52 Data Modeling
00:47:10 Choosing a Database
