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@fospap: #csdog

Fospap
Fospap
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Region: US
Tuesday 08 September 2026 06:53:03 GMT
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shadowwritez
writezzz :
мне отдай
2026-09-08 08:26:40
6
korzd_
🍄 :
просто гениальнейший байтер на коммы
2026-09-08 12:08:57
0
aletvin_kobyakov67
letvin nastoyashii :
2026-09-08 18:54:45
1
frostlak
50 Blessings :
Лис скинс
2026-09-08 06:56:45
0
dobiv0
Dobiv :
акк стим через телефон создай, туда переведи и через какой нибудь сайт выведи деньги
2026-09-08 11:09:41
2
rustam05.05.2008
☦️TEA CHILL✝️ :
иди в пк клуб для вывода
2026-09-08 11:52:06
0
dizare53
dizare :
обменяю на чебурек
2026-09-08 09:10:17
1
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Meet the cutest little cow on the farm! This adorable baby dressed in a fluffy cow costume #CuteBaby #CowBaby #BabyCow #FYP #ForYou #ViralVideo
Meet the cutest little cow on the farm! This adorable baby dressed in a fluffy cow costume #CuteBaby #CowBaby #BabyCow #FYP #ForYou #ViralVideo
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


🎧 use Headphones 🎧 #dj #djremix #foryou #viralvideo #bdtiktokofficial🇧🇩
🎧 use Headphones 🎧 #dj #djremix #foryou #viralvideo #bdtiktokofficial🇧🇩

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