System Design Key Topics
- Introduction
- What is a system design interview and why it is important?
- Basics for System Design Interviews ( Upgraded Video Coming Soon )
- Sample Application - Code Walkthrough (Demo) - NEW
- CAP Theorem - (New Video)
- Handling your DATA
- Transaction on Data
- What goes in the Middleware layer ?
- Building the middleware layer using MicroServices.
- Building the front end layer (UI)
- Additional Resources - New
Load Balancing
- Introduction
- Where can a load balancer be placed in a system ?
- Types of Load balancers
- Load Balancing Strategies and Load Types
Caching
- Introduction
- Caching
- Types of Cache
- Updating data in cache
- Cache Eviction
Caching Usage - Building a Feed - Application Demo
- Introduction
- Feed Application Using Cache Servers
- Architecture and Flow of the Sample Application
- Demo
CDN
- Introduction
- What is a CDN ?
- Advantages and Disadvantages of CDNs
Case Study - Design a scalable Ecommerce Store (including low level design)
- Design a scalable ecommerce website like Amazon or Walmart.com ?
Case Study - Build a Local Cache (Design, Code and Demo)
- Introduction
- What's a LRU Cache ?
- Building an LRU Cache
- LRU Cache Code (Java)
- LRU Cache Code Continued (Java)
- Can you improve this solution further ?
- Efficient LRU Cache
- Efficient LRU Cache Code (Java)
Case Study - Design a Distributed Cache (-- NEW Case Study --)
- Distributed Cache Design - Part 1
- Distributed Cache Design - Part 2
- Distributed Cache Design - Part 3
Case Study - Design a ticketing server for a distributed system.
- Introduction - Problem Description
- Digging deep into the problem
- Functional Requirements
- Non functional Requirements
- Approaching the problem with the simplest design first
- Going deeper into the simpler approaches
- Problems with the Simple Approach
- Approaches for a distributed system
- Approach 1 (also its good and bad points)
- Approach 1 continued
- Approach 2 (good and bad points)
- Approach 2 continued
- Approach 3 - final approach
Case Study - Design a recommendation Engine (Upgraded Videos in Progress)
- Introduction - Problem Description
- Understanding the Problem
- Why relational db's are not suited for this kind of problem ?
- What is a recommendation system and its requirements.
- Requirements
- HLD
- Data Ingestion Layer
- Analytics Engine and Approach 1
- Market Basket Analysis - Apriori Algorithm
- Implementation and Code
- Problem with this Approach
- Important point for this case study
- Content Based recommendation
- Content Based recommendation - implementation
- Collaborative Filtering
- Collaborative filtering approach in short
Design an AutoComplete feature like Google Suggest (Upgraded Video in Progress)
- Introduction
- Requirements and Assumptions
- Back of Envelope Calculations
- HLD
- Sample Data
- API Design
- Building the Rest services of the API
- Low Level Design
- More on low level design
- Storing the TRIE in Cache
- Storing words using big data technologies and finding the word frequencies
- Building the TRIE
- Disadvantages of this Approach
