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101 Likes vs 100 Likes 😳 Same Post? | Eventual Consistency Explained | System Design EP8
You see 101 likes ❤️
Your friend sees 100 likes 😳
Same post… different data?
Bug? 🤔
Not always.
This can happen because of a System Design concept called:
Eventual Consistency ⚡
In large scale distributed systems, updating everything instantly is difficult.
Instead:
User action happens ✅
Response is fast 🚀
Cache, replicas, and other systems sync in background 🔄
For a short time:
User A → latest data
User B → old data
But eventually everything becomes consistent ✅
This is the tradeoff behind many large scale systems:
⚡ Fast response
✅ High availability
⏳ Temporary inconsistency
Because System Design is all about tradeoffs ⚖️
Subscribe @BackendWithSushil for:
- Backend Engineering
- System Design
- Distributed Systems
- Software Architecture
#systemdesign #backendengineering #softwareengineering
Видео 101 Likes vs 100 Likes 😳 Same Post? | Eventual Consistency Explained | System Design EP8 канала Backend With Sushil
Your friend sees 100 likes 😳
Same post… different data?
Bug? 🤔
Not always.
This can happen because of a System Design concept called:
Eventual Consistency ⚡
In large scale distributed systems, updating everything instantly is difficult.
Instead:
User action happens ✅
Response is fast 🚀
Cache, replicas, and other systems sync in background 🔄
For a short time:
User A → latest data
User B → old data
But eventually everything becomes consistent ✅
This is the tradeoff behind many large scale systems:
⚡ Fast response
✅ High availability
⏳ Temporary inconsistency
Because System Design is all about tradeoffs ⚖️
Subscribe @BackendWithSushil for:
- Backend Engineering
- System Design
- Distributed Systems
- Software Architecture
#systemdesign #backendengineering #softwareengineering
Видео 101 Likes vs 100 Likes 😳 Same Post? | Eventual Consistency Explained | System Design EP8 канала Backend With Sushil
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13 июня 2026 г. 18:16:11
00:01:13
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