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@ummeharieem: This is the most popular Gift in my LIVE. I saw so many viewers sent it in my LIVE. @Silence🌙 #tiktoklive #livehighlights #livegift #foryou #foryoupage

Umme_Hareem 🌹
Umme_Hareem 🌹
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Tuesday 15 September 2026 01:42:29 GMT
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aliya_.123x2
Fatema Islam :
Alhamdulilla
2026-09-15 19:56:46
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pukiman.kenzo
Sukardi008 :
positif Alhamdulillah semoga bermanfaat buat ya rabbal alamin 👍💪🥰
2026-09-17 05:18:36
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sauria630
SAURIA :
Masha Allah
2026-09-15 03:35:12
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zaa206759
🌺ZAA🌺sis :
🥰🥰🥰🤲
2026-09-18 07:18:06
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n_nasir786
Quran کریم🫀 :
🥰🥰🥰
2026-09-15 12:20:34
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nyhajebgandawali
saparo :
🥰🥰🥰
2026-09-15 02:02:19
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le......13juin
Dougouwili :
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2026-09-18 16:35:33
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CAP theorem, explained in one triangle. 🔺 Most people overcomplicate this. Here's the version that actually helps you in a system design interview. You get three properties — but you can only pick 2: 🔴 Consistency — every read sees the most recent write 🟢 Availability — every request gets an answer 🟠 Partition tolerance — the system keeps working when the network splits The catch: in any real distributed system, network failures WILL happen. So partition tolerance isn't optional. That collapses the whole thing into one real decision: when a partition hits, do you choose consistency or availability? Where the databases land: • C + A → Postgres, MySQL (single node — fine until you scale out) • C + P → MongoDB, HBase (stays correct, may reject requests during a partition) • A + P → Cassandra, DynamoDB (always answers, but reads can be briefly stale) The one question to ask yourself:
CAP theorem, explained in one triangle. 🔺 Most people overcomplicate this. Here's the version that actually helps you in a system design interview. You get three properties — but you can only pick 2: 🔴 Consistency — every read sees the most recent write 🟢 Availability — every request gets an answer 🟠 Partition tolerance — the system keeps working when the network splits The catch: in any real distributed system, network failures WILL happen. So partition tolerance isn't optional. That collapses the whole thing into one real decision: when a partition hits, do you choose consistency or availability? Where the databases land: • C + A → Postgres, MySQL (single node — fine until you scale out) • C + P → MongoDB, HBase (stays correct, may reject requests during a partition) • A + P → Cassandra, DynamoDB (always answers, but reads can be briefly stale) The one question to ask yourself: "Does every read need the most recent write?" Yes → consistency. No → availability. Bring this up early in your next interview — it shapes every decision after it. Which side does your system land on — CP or AP? #HackProduct #systemdesign #databases #coding #interviewprep
#ستوريات #تصميم_فيديوهات🎶🎤🎬 #اكسبلورexplore
#ستوريات #تصميم_فيديوهات🎶🎤🎬 #اكسبلورexplore
Humm❤️‍🩹💫 #hotzxhjjvsfhjokmnbvvbnnnnbvcvbvuijggdsyu #hotzxhjjvsfhjokmnbvvbnnnnbvcvbvuijggdsyu
Humm❤️‍🩹💫 #hotzxhjjvsfhjokmnbvvbnnnnbvcvbvuijggdsyu #hotzxhjjvsfhjokmnbvvbnnnnbvcvbvuijggdsyu
#funny #fuhitweball #fyp #pool #8ball
#funny #fuhitweball #fyp #pool #8ball
কেমন হয়েছে মটু পাতলু ফানি ভিডিও,,, 🤣#voice_of_editing #mrjonyt #freefire #tiktok_foryou_page🥰
কেমন হয়েছে মটু পাতলু ফানি ভিডিও,,, 🤣#voice_of_editing #mrjonyt #freefire #tiktok_foryou_page🥰
0$water vs 150$water✨#bar
0$water vs 150$water✨#bar

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