@minchitthu83403: #trend #အားပေးကြပါဦးအဆက်လေး @🫧Khaing 🫧(Official) @Šö€🍓

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Thursday 03 September 2026 09:21:25 GMT
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myo.myat.naing998
Myo Myat Naing🍓🍓 :
အဆတ်လေး
2026-09-03 11:22:31
1
minsoe199255
Ⓜⓘⓝ Ⓢⓞⓔ :
အဆက်လေးBro
2026-09-03 12:06:54
1
user4697697830392
user4697697830392 :
ကြည်ချင်လှပိနောက်နှစ်ပိုက်လောက်
2026-09-03 13:37:36
1
user2336576617148
Mya Zin Htay :
🥰🥰🥰
2026-09-04 05:51:44
0
khin.ni.lar5
Khin Ni Lar :
🥰
2026-09-03 20:07:26
0
user378559670
Wai Yan :
🥰🥰🥰🥰🥰
2026-09-03 15:02:24
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shwe.aung199
Shwe Aung :
🌹
2026-09-12 20:09:20
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khin.htay284
Khin Htay :
😂
2026-09-20 10:06:53
0
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One post. Eighteen moving parts. This is what actually happens when you tap
One post. Eighteen moving parts. This is what actually happens when you tap "Share." 🌐 GETTING IN Client hits DNS to find the nearest edge. Static content — photos, JS, video — comes straight off the CDN and never touches your servers. Everything else goes to a load balancer, then through API gateways. Then a SECOND load balancer, and this one matters: it splits traffic into APP READ servers and APP WRITE servers. Different machines. Different scaling. Reads outnumber writes 100 to 1, so they cannot share a box. ✍️ THE WRITE SIDE Write server drops jobs onto queues instead of doing them inline. Video goes to the video queue → processing service → a pool of workers. The post goes to the feed gen queue → Feed Generation Service. Nothing slow happens while the user is waiting. That's the whole reason queues exist here. 👀 THE READ SIDE Read server hits CACHE first, always. Cache miss → Metadata/User DB, which is sharded: a Shard Manager and directory-based partitioning decide which box holds which user. Master takes writes, slaves serve reads. Search is its own path entirely — aggregator → search index with its own caches. You do not run text search against your primary database. 🔔 THE LOOPS Feed Generation writes back to the DB and fires the notification queue. Those two red lines wrapping the diagram are the async tails — the work that finishes after you've already seen "Posted." THE RULE: split reads from writes. Then shard. The failure mode: one app server doing both. It works at 10k users and falls over at 10 million, because your read traffic and your write traffic need opposite things — caching versus consistency. 📸 Screenshot this before your next system design interview. Follow @hackproduct ⚡ . . #systemdesign #systemdesigninterview #softwareengineering #facebook #backenddevelopment

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