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@noorulquran710: کردار، پاکیزگی اور نیک اعمال انسان کی عزت کا سبب بنتے ہیں، جبکہ جھوٹے الزامات اور بدگمانی سے بچنا ضروری ہے۔ #SurahAnNur #NoorulQuran #Islam #Deen #IslamicReminder

Noor Ul Quran
Noor Ul Quran
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Region: PK
Wednesday 27 May 2026 13:01:05 GMT
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noor.visuals8
Noor Visuals :
🥰🥰🥰
2026-05-28 20:57:47
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user8027521884438
user8027521884438 :
😁😁😁
2026-05-28 13:23:50
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raheem.khan.bhanb5
Raheem Khan Bhanbhro :
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2026-05-28 10:31:43
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ameerbux506
ameerbux8302 :
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2026-05-28 09:04:19
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aijazrind843
Ali Baloch :
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2026-05-28 01:06:18
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malik.jaffer.moth
Malik Jaffer Motha :
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2026-05-28 00:32:32
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hazrat.bilal2182
Hazrat Bilal🇵🇰🇰🇼 :
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2026-05-27 19:05:27
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user6037087595268
محمد عباس :
♥️♥️♥️
2026-05-27 13:47:23
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ashfaqali16105
Ashfaq Ali :
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2026-05-27 13:13:34
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sajidsukhera600
Sajid sukhera 600 :
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2026-05-27 13:02:23
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user11941708498543
💔💔💔💯اللھ💝وساوا🔥بلوچ💔💔 :
♥️♥️♥️
2026-06-02 06:30:46
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Message queues: how one append-only log moves a trillion messages a day without ever blocking the producer. A producer writes messages to a log. A consumer reads them at its own pace. That one design decision is why systems like Kafka survive traffic spikes that would crush a normal request/response API. Watch what happens when the consumer crashes: the producer keeps writing, completely unbothered. The messages don't vanish, they wait in the log, in order. When the consumer recovers, it rips through the backlog and catches up. Zero messages lost. And because it's an append-only log with offsets, the consumer can seek backward and re-read old messages from any point. A delete-on-ack queue (RabbitMQ, SQS) can't do that. once a message is acked, it's gone. This is the backbone of every event-driven system: producer never waits, consumer reads on its own clock, the log remembers everything. Save this for the next time someone asks
Message queues: how one append-only log moves a trillion messages a day without ever blocking the producer. A producer writes messages to a log. A consumer reads them at its own pace. That one design decision is why systems like Kafka survive traffic spikes that would crush a normal request/response API. Watch what happens when the consumer crashes: the producer keeps writing, completely unbothered. The messages don't vanish, they wait in the log, in order. When the consumer recovers, it rips through the backlog and catches up. Zero messages lost. And because it's an append-only log with offsets, the consumer can seek backward and re-read old messages from any point. A delete-on-ack queue (RabbitMQ, SQS) can't do that. once a message is acked, it's gone. This is the backbone of every event-driven system: producer never waits, consumer reads on its own clock, the log remembers everything. Save this for the next time someone asks "why not just call the API directly?" 👇 What are you using. Kafka, SQS, RabbitMQ? Follow @krishnachaytanyaa for backend systems explained visually. #trending #kafka #vibecoding #systemdesign #ai
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Димаш агамыз тиктокта отырама?
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