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System design is how you choose the right components and put them in the right place to solve a software problem. In this video, we build a real photo-sharing app from scratch, starting with a single $10 server and watching it fail in exactly the ways yours will fail in production. We don't lecture you on abstract concepts. Instead, we design one real application together and add components only when they become necessary. You'll see why a load balancer exists, when a cache actually helps, how replication saves your data, and what sharding is for. Every box has a reason. The course comes with four free hands-on labs where you practice on real infrastructure. You'll set up load balancers and watch failover work, add a database index and see a 5-million-row query drop from seconds to milliseconds, use Redis caching to understand cache hits and stale reads, and run a Postgres replica that you'll promote when the primary dies. 🧪 Free hands-on labs: https://kode.wiki/4fpJtkE 🚀 Check out our course on System Design for Beginners - https://kode.wiki/3TSidUE 📚 What you'll learn: 1️⃣ The difference between functional and nonfunctional requirements (and why requirements come before design) 2️⃣ Vertical vs. horizontal scaling and when each one makes sense 3️⃣ How load balancers spread traffic and health checks keep servers alive 4️⃣ Why stateless servers matter and where to store login sessions 5️⃣ Indexing, caching, replication, and sharding with real failure examples ⏰ Timestamps: 00:00:00 - Introduction to System Design 00:01:56 - What Is a Server and Where Does Code Live 00:02:55 - Failure #1: CPU and RAM Run Out (Load Balancer) 00:03:37 - Failure #2: Database Overloaded (Caching) 00:04:06 - Failure #3:The Machine Dies (Replication and Backups) 00:05:37 - HLD vs. LLD 00:07:45 - Interview Byte 1 00:08:56 - Functional vs Non-Functional 00:12:20 - 5 Questions Before You Design Anything 00:16:22 - Interview Byte 2 00:17:30 - Monolith vs. Microservices (When to Split) 00:21:24 - Vertical vs. Horizontal Scaling 00:24:28 - Interview Byte 3 00:25:48 - How a request actually travels 00:29:44 - Load Balancer: Health Checks and Distribution 00:35:40 - Stateless vs. Stateful 00:41:58 - Interview Byte 4 00:43.04 - Free Lab 1 - Load balancer 00:43:49 - Data Modeling: Identifying Access Patterns 00:50:43 - SQL vs. NoSQL 00:56:02 - Interview Byte 5 00:57:15 - Database Indexes 01:01:06 - Free lab 2 - Database Indexes 01:02:22 - Caching 01:11:21 - Interview Byte 6 01:12:53 - Free Lab 3 - Caching with Redis 01:13:01 - Replication 01:19:34 - Sharding 01:24:03 - Free Lab 4 - Replication 01:24:27 - The Design We Made So Far 🧪 Free hands-on labs: https://kode.wiki/4fpJtkE 🔔 Subscribe for more system design, backend engineering, and real-world scaling patterns #SystemDesign #BackendEngineering #KodeKloud #DatabaseDesign #Scaling #LoadBalancing #Caching #DatabaseReplication #DistributedSystems #Sharding #Microservices #TechInterviews #CloudArchitecture #SoftwareArchitecture #DataModeling

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