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@eviirzqynnn: #fy #fyppppppppppppppppppppppp #viraltiktok #viral #fyp
Evi Rizqiyani
Open In TikTok:
Region: ID
Tuesday 17 March 2026 17:12:17 GMT
491891
7058
52
440
Music
Download
No Watermark .mp4 (
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Music .mp3
Comments
ikaa :
kenapa baru launching sih produknya udah lebaran😭
2026-03-21 11:42:36
28
ntah lah💞 :
BB 59 kk
2026-08-08 13:30:29
0
nayla✨ :
itu kerudungnya warna apa ka
2026-03-18 23:53:02
1
Nursyamsi :
jilbab wrna apa?
2026-03-28 09:11:00
0
youngest child✨️ :
kak bb 55 tb 155 size brpa?
2026-04-18 14:23:06
0
MbaCan🌷 :
yaallah udah 2 hari lebaran baru muncul😭
2026-03-22 05:24:19
2
N :
jilbba yg dipake warna apa kak?
2026-03-22 20:15:41
1
na :
size brp yg di pake kk
2026-04-11 06:40:10
0
Lestaaa_ar :
beli buat lebaran tahun depan too much ga😭
2026-03-24 13:53:44
1
Nurfdilah :
Mau CO tpi warna blue nya udah habisss😭
2026-03-27 02:56:13
1
نونابريفات :
uk apa yg dipkek kk
2026-03-28 08:48:48
0
it,s Meeee :
nerawangg ga ka
2026-04-05 17:11:09
0
y :
kk BB 65 TB 152 pake uk apa?
2026-07-30 01:56:09
0
🌙 :
Pengen beli tapi panjang baju nya gak ada yg 140
2026-04-05 23:10:09
0
cornellia🫀 :
Bb 65 tb 152 pakek ukuran apa kk
2026-08-11 15:36:12
0
Lii🌸 :
yang biru kapan restock kk
2026-08-12 11:06:34
0
itsmaulida__ :
saling follow ka
2026-05-22 11:10:56
0
Raisya Adinda :
Nerwang ga sih
2026-05-21 20:45:00
0
Amna A52 :
kok GX ready sih
2026-05-21 06:54:42
0
me? :
itdhhdjrz
2026-06-16 09:02:12
0
ديفيتا فوتري🌹 :
itu nerawang gk kak
2026-04-30 08:46:58
0
Riaa🫧 :
ka kalau BB 50 ukuran apa yah kak
2026-04-29 23:40:15
0
mamadiptaa :
ini kainnya licin ga ka
2026-06-11 13:07:43
0
🤍 :
Spil tas nya kk
2026-04-08 12:34:37
0
cici :
TB 146 bb 36 ambil ukuran yang mana ka
2026-03-27 02:59:20
0
To see more videos from user @eviirzqynnn, please go to the Tikwm homepage.
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When to Shard Database vs Replicate? Database Scaling Explained Most database scaling mistakes come from treating replication and sharding as interchangeable. They solve different problems. I've seen teams throw sharding at a simple read-heavy bottleneck and buy themselves months of operational pain, resharding, cross-shard queries, and hot partitions when two read replicas would have fixed it. And I've seen the opposite: teams stacking replicas onto a write-heavy system and wondering why the primary is still on fire. Every replica has to apply every write, so replication does nothing for write volume. The rule is simple. Don't shard until you've exhausted caching and replication. Replication, one primary pushing copies out to read replicas, is the answer for read-heavy workloads like social feeds, and it gives you a standby when the primary dies. Sharding is for when writes or raw data size physically outgrow one machine. You split the data across independent servers, each owning its own slice. And in mature production systems, it's not either or. You shard first, then replicate each shard. Writes scale across the shards, and every shard survives a machine failure. Match the fix to the actual bottleneck. Most of the time the bottleneck is reads, and most of the time replicas are enough. #SystemDesign #Databases #DevOps #BackendDevelopment #SoftwareArchitecture
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