Scaling Databases For Read Heavy Applications - System Design
How do we scale Databases in Distributed System Design? What is Synchronous, Asynchronous and Semi-Synchronous Replication and how does it work? Having multiple instances of databases is all cool - until you start thinking about consistency, latency, failover and the right balance amongst them. Its much more than copying data from one node to another - and that’s where interviewers really start to dig in. In this latest video, I explain the challenges that reside with replicating databases and how to solve those challenges with different replication strategies like: Synchronous Replication: When every write waits for all its clones Asynchronous Replication: Speed at the cost of potential data "lag" Semi‑Synchronous Replication: A middle ground for safety and performance I’ve broken down each mode with real‑world examples and tradeoffs along with some code examples so that you can try all of it yourself. ▬▬▬▬▬▬ TIMESTAMPS ▬▬▬▬▬▬ 00:00 Intro 01:02 Why Scaling Databases is Hard 02:38 Primary - Secondary Architecture 04:36 Asynchronous Replication 06:00 Synchronous Replication 07:57 Semi - Synchronous Replication 09:50 Demo & Code Examples 13:47 Summary ▬▬▬▬▬▬ OTHER VIDEOS ▬▬▬▬▬▬ System Design Playlist: • System Design Foundations - Interview Prep... Microservices: • What are Microservices? Microservices vs M... Load Balancers: • The Algorithms Behind Load Balancers - Sys... Horizontal & Vertical Scaling: • Horizontal vs Vertical Scaling - System De... SQL vs NoSQL: • The Only NoSQL Video You'll Ever Need HTTP Rest APIs: • What are HTTP REST APIs? | GET, POST, PUT,... ▬▬▬▬▬▬ CODE EXAMPLES & DOCUMENTATION ▬▬▬▬▬▬ Code Examples: https://github.com/monisyousuf/youtub... ▬▬▬▬▬▬ SOCIALS ▬▬▬▬▬▬ Instagram: / monis.yousuf LinkedIn: / monis-yousuf Youtube: @MonisYousuf My Website: https://monisyousuf.com ▬▬▬▬▬▬ This video is a part of the complete System Design Interview Series aimed at cracking FAANG/MAANG/Product Based Company interviews. The series explains foundational concepts like Load Balancing, Microservices, Horizontal and Vertical Scaling, Database Replication, Data Partitioning, Sharding, Consistent Hashing, CAP Theorem, Consistency and Caching. You can see the full course here: • System Design Foundations - Interview Prep...

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