Two people click "Buy" on the last ticket at the exact same millisecond. Both see 1 available, and both purchases go through.
In this deep-dive system design breakdown, we explore why simple application code fails and how databases solve race conditions using Optimistic vs Pessimistic Locking with real SQL examples.
⏳ Timestamps:
0:00 - The Millisecond Disaster (Race Condition)
0:19 - Solution 1: Optimistic Locking Explained with SQL
1:54 - Solution 2: Pessimistic Locking (SELECT FOR UPDATE)
2:50 - Real System: Esports Platform Architecture
3:48 - When to Use Which (Decision Matrix)
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💬 Question for you:
Which locking strategy do you use in your backend — Optimistic or Pessimistic? Let me know in the comments!
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