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@motascimbilla817:

h my mutasiem billa
h my mutasiem billa
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Friday 25 September 2026 12:55:00 GMT
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nd.nuruddin72
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2026-09-25 13:22:21
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dress LINNK 16 fr @Femmethelabel ✨
dress LINNK 16 fr @Femmethelabel ✨
#kenyantiktok🇰🇪 #naroktiktokers👐 #fyp #blowthisup
#kenyantiktok🇰🇪 #naroktiktokers👐 #fyp #blowthisup
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




#fyp #libya🇱🇾 #تصويري #المدينة_المنورة#@شركة منازل المدينة
#fyp #libya🇱🇾 #تصويري #المدينة_المنورة#@شركة منازل المدينة

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