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@user1541136199741: 🥀ARجانان🥀

👈غمجن💔 زڑگی🥲
👈غمجن💔 زڑگی🥲
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Thursday 24 April 2025 18:46:07 GMT
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zabar.ali40
ZabarAli 🔥🥰 :
❤❤❤
2025-04-25 14:33:02
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matikhans2
خان صاحب :
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2025-05-28 17:56:59
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ahmed.shah.ghabiz
احمد شاہ زخمی💔 :
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2025-05-18 21:45:28
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ahmed.shah.ghabiz
احمد شاہ زخمی💔 :
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ahmed.shah.ghabiz
احمد شاہ زخمی💔 :
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2025-05-18 21:45:28
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qudartarmane0
Qudrat Kokod :
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2025-05-11 08:55:04
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khankhan.jn
Khankhan Jn :
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2025-05-07 05:37:10
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user10014781670250
انعام۔ریگوال :
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hassankha967
Hussain khan :
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iqbalkakar880
AHSAN❤️💔🫀🫁 :
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sana.ullah8058
Sana Ullah :
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Serdar Afghan :
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Hikmat Allah :
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zabar.ali40
ZabarAli 🔥🥰 :
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2025-04-25 14:32:59
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khan.nasib.khan6
asdaafghn :
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asdaafghn :
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raeekos.khan123456789123
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barat khan :
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Naseer :
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2025-04-24 19:32:09
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#ворота #автоматика #ужгород #закривтапорядок
#مستور_بخيت #متابعه_ولايك_واكسبلور_احبكم #جخو،الشغل،دا،يا،عالم،➕_❤_📝 #مشاهير_السودان
#مستور_بخيت #متابعه_ولايك_واكسبلور_احبكم #جخو،الشغل،دا،يا،عالم،➕_❤_📝 #مشاهير_السودان
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Load balancer. Cache. Queue. CDN. Replica. Shard. 🧠 If those sound like a pile of random buzzwords, this one's for you. Here's the secret: nobody sits down and designs a system with 9 components. You start with ONE server, and every new piece gets added because something broke. Here's the whole thing in order 👇 1️⃣ One server can't keep up → add more servers + a load balancer 2️⃣ Every server hammers the same database → add a cache (Redis) 3️⃣ Reads keep growing → add read replicas 4️⃣ One database can't hold it all → shard the data 5️⃣ Photos and videos bloat the database → move them to object storage (S3 / R2) 6️⃣ Users far away wait forever → put a CDN in front 7️⃣ Uploads make users wait on slow jobs → add a queue + background workers 8️⃣ Servers crash, regions disappear → build in redundancy 9️⃣ You can't see what's breaking → add observability (logs, metrics, traces) And the biggest beginner mistake? Adding Kafka, Kubernetes, microservices and 10 databases before you have a real problem. Every component has a cost: • caches go stale • queues deliver twice • replicas lag • shards make queries harder • microservices fail over the network So the real skill isn't memorizing tools. It's asking one question: 👉
Load balancer. Cache. Queue. CDN. Replica. Shard. 🧠 If those sound like a pile of random buzzwords, this one's for you. Here's the secret: nobody sits down and designs a system with 9 components. You start with ONE server, and every new piece gets added because something broke. Here's the whole thing in order 👇 1️⃣ One server can't keep up → add more servers + a load balancer 2️⃣ Every server hammers the same database → add a cache (Redis) 3️⃣ Reads keep growing → add read replicas 4️⃣ One database can't hold it all → shard the data 5️⃣ Photos and videos bloat the database → move them to object storage (S3 / R2) 6️⃣ Users far away wait forever → put a CDN in front 7️⃣ Uploads make users wait on slow jobs → add a queue + background workers 8️⃣ Servers crash, regions disappear → build in redundancy 9️⃣ You can't see what's breaking → add observability (logs, metrics, traces) And the biggest beginner mistake? Adding Kafka, Kubernetes, microservices and 10 databases before you have a real problem. Every component has a cost: • caches go stale • queues deliver twice • replicas lag • shards make queries harder • microservices fail over the network So the real skill isn't memorizing tools. It's asking one question: 👉 "What problem forced us to add this?" Start simple. Find the bottleneck. Add the smallest fix. Repeat. 💾 Save this for your next system design interview 💬 Which of the 9 steps did you learn the hard way? Tell me in the comments 👇 #systemdesign #softwareengineering #backenddevelopment #codinginterview #learntocode
. #libya🇱🇾 #bmw
. #libya🇱🇾 #bmw

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