@vincenzo.buonocore84: Per toccare il cielo servono fondamenta solide e la pazienza di estendersi un centimetro alla volta, senza mai perdere l'equilibrio.@Bappi datto @Mimmo Di Giovanni @AndreaMarino @Alfonso Marino585 @SALVATORE DATI @Alessandro Oliviero @Liebherr Group @Alfonso Allocca148 @Salvatore1989 #gru #liebherr #work

vincenzo.buonocore84
vincenzo.buonocore84
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Region: IT
Friday 12 June 2026 03:44:02 GMT
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mimmodigiovann
Mimmo Di Giovanni :
Facimm paur non panico 😂
2026-06-12 03:46:44
2
antonioascolese124
Antonio :
i migliori nel sollevamento [Potenza]
2026-09-12 14:24:05
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j.mg.c48
José M.G. :
y yo con el A !
2026-08-06 11:50:38
0
user69050863472634
user69050863472634 :
😳😳😳
2026-06-13 12:31:20
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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

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