DB Replication Architectures Explained | Master-Slave, Multi-Master & Masterless | System Design #10
Himanshu Parashar
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DB Replication Architectures Explained | Master-Slave, Multi-Master & Masterless | System Design #10
317 просмотров · 2 недели назад
Himanshu Parashar
87 подписчиков
317 просмотров · 2 недели назад
🚀 Welcome to Episode 10 of the System Design Series!
In the previous videos, we explored Synchronous and Asynchronous Database Replication.
But what happens when the traditional Master-Slave architecture becomes a bottleneck?
In this video, we'll explore different Database Replication Architectures and understand how systems evolve from Master-Slave to Multi-Master and finally to Masterless architectures.
📚 In this video, you'll learn:
✅ Master-Slave / Primary-Replica Architecture
✅ Drawbacks of Master-Slave Architecture
• Single Point of Failure
• Write Bottleneck
• Limited Write Scalability
✅ Multi-Master Architecture
✅ How Multi-Master Replication Works
✅ Drawbacks of Multi-Master
• Conflict Resolution
• Data Consistency Challenges
✅ Masterless Architecture
✅ How Masterless Databases Work
✅ Understanding Quorums
✅ Read Quorum (R)
✅ Write Quorum (W)
✅ Number of Replicas (N)
✅ Quorum Formula
✅ How Reads and Writes work in a Masterless Architecture
✅ Availability and Fault Tolerance
💡 We'll also walk through the Masterless architecture step-by-step using an interactive UI example to make the replication and quorum concepts easier to understand.
📺 Complete High-Level Design (HLD) Playlist:
🔗 • System Design | Complete High-Level Design...
📌 Previous Videos:
Episode 1 – What is System Design?
Episode 2 – Scalability
Episode 3 – Load Balancing
Episode 4 – Build a Load Balancer using Nginx
Episode 5 – Performance Testing using k6
Episode 6 – Deployment Architectures & Database Scaling
Episode 7 – Database Partitioning & Sharding
Episode 8 – Synchronous Database Replication
Episode 9 – Asynchronous Database Replication
🎯 In this Episode:
Master-Slave → Multi-Master → Masterless
If you're preparing for System Design interviews or want to understand how distributed databases achieve scalability, availability, and fault tolerance, this series is for you.
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