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Design Modern Web-Scale Distributed Services Like a Pro
Concurrency in Online Services
Handling Concurrency in Online Services – Part 1 - (Transaction Isolation Levels)
Handling Concurrency in Online Services - Part 2 - (Database Locks)
Handling Concurrency in Online Services - Part 3 - (Concurrency Control Mechanisms)
Handling Database Growth
Managing Database Growth - Part 1 - (Partitioning)
Managing Database Growth - Part 2 - (Partitioning Strategies)
Database Replication
Dealing With Conflicts - Part 1 - (Multi-Master Write Conflicts)
Dealing With Conflicts - Part 2 - (Synchronized Clocks for Ordering Events)
Dealing With Conflicts - Part 3 - (CRDTs and OT)
Leaderless Replication
Distributed Transactions
Cross-Shard Distributed Transactions
Non-blocking Distributed Transactions - (Saga Pattern)
Two Phase Commit and Saga - Picking the Right Approach
Application Level Sharding - Tweaking Code for Cross Shard Operations
Cross Shard Transactions with Over a Million QPS - (Real-World Instance)
Horizontally Scaling Relational Database Clusters - (Real-World Instance)
Using a Distributed Database Solution to Handle Queries in a Relational Database Cluster
Distributed SQL
ACID Transactions in NoSQL Databases
Summary
Design a Sports News and Streaming Service Like ESPN, Cricbuzz and Hotstar
Overview
Live Streaming (Core Feature in Services Like Twitch, YouTube, Facebook, Hotstar) - Part 1
Live Streaming Service - Part 2 - (Infrastructure, Thundering Herd and Request Coalescing)
Live Streaming Service - Part 3 - (Stream Validation in Real-time)
Using Kafka as a Buffer in Stream Validation
Kafka Performance
Persisting the Live Stream for Video-On-Demand Service
Getting Our Infrastructure Ready for the Traffic Surge - Part 1 - (No Blind Spots and Injecting Chaos)
Getting Our Infrastructure Ready - Part 2 - (Not Relying on Autoscaling and Other Strategies)
Handling Production Traffic - (Throttling)
Video-on-demand Service/Module (Like Netflix, YouTube, HBO Max, Disney+)
Video Delivery Architecture Part 1 - (Designing A Workflow)
Video Delivery Architecture Part 2 - (Workflow Execution)
Video Delivery Architecture Part 3 - (Delivering Content through Edge, Data Estimations)
Designing User Profile with a Relational Data Model
Storing Relationships in a Document-Oriented Database
Video/News Feed Service (Like Netflix Video Feed, Facebook News Feed)
Designing the Video Recommendation Feed for the VOD Service Home Page - Part 1 - (Change Data Capture)
Designing the Video Recommendation Feed for the VOD Service Home Page - Part 2 - (Creating a Recommendation Object)
Push Notifications Service (Like Facebook Notifications, YouTube Notifications)
Notifying Viewers of the New Content
CMS - Content Management Service (Like New York Times, Medium, TechCrunch, Bloomberg, Cricbuzz)
Picking the Right Data Model and Knowledge Graphs
Designing Content Graph for our CMS - Part 1
Designing Content Graph for our CMS - Part 2
CMS Core Architecture
Distributed Content Search Service
Picking the Right Data Store to Power our Application Search
Search Architecture: Designing an Indexing Pipeline
Storing our Data with an Inverted Index
Distributed Search Behind the Scenes
Real-time Search with Immutable Inverted Indices - Part 1
Real-time Search with Immutable Inverted Indices - Part 2
User Subscription Payment Service (Like Netflix Payments, Cricbuzz Payments)
Understanding the Online Card Payment Flow
Designing the Distributed Payment Flow - Part 1 - (Saga Pattern)
Designing the Distributed Payment Flow - Part 2 - (Event Sourcing)
Event Ordering with Kafka and Persisting Events
Handling Duplicate Events, Ensuring Idempotency and CQRS Pattern
Weaving all the Services Together - Inter Microservice Communication
Communication Between Different Platform Services
Discovering Services in the Network
Laying Up a Service Mesh and SideCar Pattern
Handling the Interviews
Designing Something, You've No Clue About - Part 1
Designing Something, You've No Clue About - Part 2
Future Content (Coming Soon)
Epilogue
Teach online with
Notifying Viewers of the New Content
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