50 hours of Mid-Level System Design in One Hour

👉 Get My Help To Land $150k+ Offer - https://www.raymondjones.dev/free-hel... 👉 Free Guide to Interviews - https://www.skool.com/raymond/about My LinkedIn -   / therealraymondjones   My leetcode profile - https://leetcode.com/u/TheRealRaymond... ----------------- Who Am I? ----------------- I placed 320 / 25,000 contestants on Leetcode contest in 2024. This placed me at around top 1.6% in the world. I started my Leetcode journey without knowing anything. I struggled understanding recursion, what trees were, what linked lists did. I failed several DSA interviews because I couldn't even understand the question. Even 1 year ago, I was around top 50% in the world. I started livestreaming myself practicing everyday and now I'm slowly reaching top 1% in the world. Now, I'm trying to do the same for System Design and AI topics. 0:00 Introduction: System design books overview 0:19 Chapter 1: Reliability, Scalability, Maintainability 0:58 Three components of good software systems 1:28 Scalability: handling millions of users 2:00 Why scalability is the hardest part 3:00 Chapter 2: SQL vs NoSQL databases 3:20 When to use relational vs document databases 4:10 System design vs algorithms: theory vs practice 4:34 Chapter 3: How data is actually stored 4:53 Starting simple: storing data as text files 5:26 Write-ahead logs and offsets 5:55 SS tables and LSM trees (write-heavy) 6:22 B-trees (read-heavy, used by MySQL) 6:34 Analytics databases and column-based storage 7:33 Chapters 1-3 summary and moving to advanced topics 8:30 Chapter 1 recap: reliability, scalability, maintainability 9:09 SQL vs NoSQL decision criteria 9:42 Chapter 3: data storage implementation details 10:20 Write-ahead logs explained 11:30 SS tables vs B-trees comparison 12:09 Other data structures and full-text search 13:21 Analytics and column-based databases explained 14:44 Chapter 4: Encoding and evolution 15:16 Converting data between different programming languages 16:23 Data transmission methods: HTTP, message queues, gRPC 17:00 JSON, XML, and binary encoding formats 18:26 Why encoding chapter isn't crucial for interviews 19:08 Chapter 5: Replication strategies 19:27 Leader-follower replication pattern 20:01 Benefits of replication: fault tolerance and read scaling 21:07 Handling node failures and recovery 22:34 Multi-leader and leaderless replication 24:55 Chapter 6: Partitioning (sharding) 25:32 Breaking data into smaller, faster partitions 26:16 Hot partitioning problems and solutions 27:42 Comparing DDIA depth vs other system design resources 28:55 Chapter 7: Transactions and ACID properties 29:30 Preventing race conditions and dirty reads 30:16 ACID explained: Atomicity, Consistency, Isolation, Durability 31:16 Different isolation levels and performance trade-offs 32:43 Read committed isolation level 33:25 Implementation using row-level locks and versioning 35:21 Why this knowledge leads to high-paying jobs 36:15 Snapshot isolation and preventing lost updates 37:28 Serializability: strongest isolation level 39:24 Chapter 7 summary: ACID, isolation levels, and locking 40:07 Real-world applications: booking systems and Ticketmaster