Tinder Microservices Architecture | Online Dating App System Design
This video deals with the system design of Tinder Online Dating app. Please like the video and please do comment if you find this video useful. I will really appreciate it as it helps the channel. In this video we are discussing following for the Tinder System Design:
00:00 - Introduction to Tinder System Design
01:05 - Functional Requirements for Tinder Service
05:05 - Non-Functional Requirements for Tinder Service
07:40 - API Specs for the Tinder Service
11:00 - High-level Microservices Architecture of Tinder Service
12:40 - System Design of Routing Service in Tinder Service
13:20 - System Design of Profile Service in Tinder Service
14:40 - Detailed discussion on where to store user images
26:35 - System Design of Swipe Service
29:40 - System Design of Recommendation Service
44:40 - Final Remarks
We discussed three options for storing user images in the Tinder System Design:
1. Images stored in the datastore
2. Images stored in the file system
3. Images stored in remote object storage service
In Recommendation Service design, we discussed:
1. Types of search preferences
2. Geosharding techniques to use - one discussed in Uber or Quadtree approach
3. Search agents and how they would perform search
4. Categories of machine learning algorithms used for recommendation systems
Some questions for you guys:
1. What consistency model should Tinder Service use?
2. Should we store both right and left swipes or just right swipes and why?
3. How recommendation service avoid sending duplicate profiles to the user?
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