@khunphachan_ptt: ซีนนี้เลย ชอบวะ #twnpich #porsuppakarn #teeteepor

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Wednesday 01 April 2026 14:07:10 GMT

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Comments

มูมุ :

ละคือตามนิยายเป๊ะ นึกว่าจะไม่ได้ดูฉากนี้สะแล้ว

2026-04-01 14:43:44

1641

ซูชิแมวดำ :

คือร้องตามด้วงอ่ะคือแบบคิดไม่ออกจริงๆว่าถ้าฉินทิ้งจริงๆมันจะออกมาเป็นรูปแบบไหน😭

2026-04-01 14:32:54

710

nmilase :

Can they really put this scene in series 🤭😂 It's so adorable 😂🤭

2026-04-01 19:25:53

122

__woonsen_ :

ออกมาจากในนิยายเป๊ะๆเลยเทอออ เอ็นดูร้องไห้อ่าาา🥺

2026-04-01 21:06:55

277

เมดิสัน แซ่ตึ๋ง :

รุ่นนี้ขนตาไม่เคยแห้ง

2026-04-01 22:23:35

232

เบ๊บ🐰 :

เป็นคำว่า เฮงซวย ที่น่ารักมากกก

2026-04-01 14:45:33

558

ololaroax :

น่ารักชิบหายเลย555555🥺😭😭

2026-04-01 18:32:09

128

Ja Ae :

ปิ๊บก็ตัวแค่นี้🥰🥰

2026-04-01 14:43:31

47

ᴘᴏʏ☾ :

เศร้าเลยมั้ยทีนี้555448373

2026-04-01 14:11:20

238

White :

awhh baju nya duang dipakai qin 🥰🥰

2026-04-02 00:23:35

81

Chocolate inq :

ละชันเอ็นดูจนขำอ่ะแกร่55555555😂😂

2026-04-01 14:58:49

74

SU09_VAVA🌟 :

เติมปิ๊ปๆๆๆ

2026-04-01 14:41:53

41

ฮ่ะ :

ด้วงมันน่ารักง่ะ

2026-04-01 14:44:06

52

bocho.teepensawY :

เทอออออ ตอนอ่านอ่ะ ร้องไห้ตามเลยอ่ะ คืออินตามด้วงงงอ่ะ ไม่คิดว่าจะได้ดูซีนนี้

2026-04-01 14:51:42

122

Samoyd :

ยิ่งกว่าเด็กโกล์ดเด้นจริงๆ

2026-04-01 22:54:59

24

โกโก้ไม่หวาน :

อยากรู้ว่าฉินเคยรู้สึกว่ามีลูกมากกว่ามีแฟนมั้ย5555554

2026-04-01 18:07:32

71

Nuch shop. 🛒 :

เป็นการด่าว่าเฮงซวยที่โกรธไม่ลงเลยจริงๆ

2026-04-01 23:35:08

25

Malee_มาลี🌺 :

Qin really left Duang, it's so sad that I cried all night, lost my house 555😆😆

2026-04-02 12:40:40

9

🦋 :

พูดออกมาได้เฮงซวย😂😂

2026-04-02 00:13:59

10

อยากเป็นแม่เจ่งเจ่ง :

ขี้อ้อนจังวะะ

2026-04-02 05:01:16

9

She Oabb :

เป็นการด่าที่กุขำมาก55555555666776555

2026-04-02 12:21:26

7

Only_A_Moment😎😎 :

น่ารักกกก😆

2026-04-01 14:50:37

23

โกโก้ไม่หวาน :

ทำไมน่ารักขนาดนนี้ว้ะเนี้ย555555

2026-04-01 18:04:40

16

To see more videos from user @khunphachan_ptt, please go to the Tikwm homepage.

Other Videos

Part 1 ~ RabbitMQ Will Finally Makes Sense After This Video in this video, Cloud X Berry explains RabbitMQ in a simple and beginner-friendly way. You tap Transfer on your banking app and the confirmation appears instantly. Behind that screen, fraud detection is still running, the balance still needs updating, a notification still has to go out and the transaction still has to reach the ledger. None of it has finished. That is not a shortcut — it is a message broker doing its job, and RabbitMQ is the one most teams reach for. We start with the version that has no broker: the banking service calls fraud detection and waits, calls the balance service and waits, calls notifications and waits. Every transfer feels slow. Worse, if the notification service happens to be down, a perfectly good payment fails. Neither of those is acceptable, and both come from the same cause — services calling each other directly. From there we build the idea up piece by piece: what a broker actually sits between, what a producer and a consumer really are, why you publish to an exchange instead of straight to a queue, and how bindings and routing keys decide where a message ends up. We go through all four exchange types, then queues as a buffer during a traffic spike, scaling out with multiple consumers, and the ordering guarantee you give up when you do. Then the part most tutorials rush — what happens when a consumer crashes mid-transaction: acknowledgements, redelivery, why your consumers have to be idempotent, retries, dead letter queues, durable queues, publisher confirms and quorum queues. We finish with an honest comparison against Apache Kafka and a straight answer on which one to reach for. CHAPTERS 0:00 The transfer that feels instant 0:13 What still has to happen after you tap Transfer 0:34 The problem RabbitMQ was built to solve 0:54 One transfer, step by step 1:11 Producers, consumers and the broker 1:21 Exchanges, bindings and routing keys 1:43 Direct, fanout, topic and headers exchanges 2:15 Queues, buffering and traffic spikes 2:34 Scaling out with multiple consumers 2:52 A consumer crashes: acks, redelivery, idempotency 3:23 Retries and dead letter queues 3:41 Durability, publisher confirms and quorum queues 4:07 RabbitMQ vs Apache Kafka 4:40 When to use which 4:58 Recap WHO THIS IS FOR Developers who keep seeing RabbitMQ in architecture diagrams and want the idea to actually click, backend engineers about to put a queue in front of work that currently makes every request wait, and anyone interviewing for a role where asynchronous messaging or system design comes up. #rabbitmq #messagequeue #systemdesign #backend #microservices

Part 1 ~ RabbitMQ Will Finally Makes Sense After This Video in this video, Cloud X Berry explains RabbitMQ in a simple and beginner-friendly way. You tap Transfer on your banking app and the confirmation appears instantly. Behind that screen, fraud detection is still running, the balance still needs updating, a notification still has to go out and the transaction still has to reach the ledger. None of it has finished. That is not a shortcut — it is a message broker doing its job, and RabbitMQ is the one most teams reach for. We start with the version that has no broker: the banking service calls fraud detection and waits, calls the balance service and waits, calls notifications and waits. Every transfer feels slow. Worse, if the notification service happens to be down, a perfectly good payment fails. Neither of those is acceptable, and both come from the same cause — services calling each other directly. From there we build the idea up piece by piece: what a broker actually sits between, what a producer and a consumer really are, why you publish to an exchange instead of straight to a queue, and how bindings and routing keys decide where a message ends up. We go through all four exchange types, then queues as a buffer during a traffic spike, scaling out with multiple consumers, and the ordering guarantee you give up when you do. Then the part most tutorials rush — what happens when a consumer crashes mid-transaction: acknowledgements, redelivery, why your consumers have to be idempotent, retries, dead letter queues, durable queues, publisher confirms and quorum queues. We finish with an honest comparison against Apache Kafka and a straight answer on which one to reach for. CHAPTERS 0:00 The transfer that feels instant 0:13 What still has to happen after you tap Transfer 0:34 The problem RabbitMQ was built to solve 0:54 One transfer, step by step 1:11 Producers, consumers and the broker 1:21 Exchanges, bindings and routing keys 1:43 Direct, fanout, topic and headers exchanges 2:15 Queues, buffering and traffic spikes 2:34 Scaling out with multiple consumers 2:52 A consumer crashes: acks, redelivery, idempotency 3:23 Retries and dead letter queues 3:41 Durability, publisher confirms and quorum queues 4:07 RabbitMQ vs Apache Kafka 4:40 When to use which 4:58 Recap WHO THIS IS FOR Developers who keep seeing RabbitMQ in architecture diagrams and want the idea to actually click, backend engineers about to put a queue in front of work that currently makes every request wait, and anyone interviewing for a role where asynchronous messaging or system design comes up. #rabbitmq #messagequeue #systemdesign #backend #microservices

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come to ur wife jacob x #relatable #funny #jacobelordi #fyp #fypシ #foru #viral #fypp #trend #blowup #foryou #fy #famous #goviralgo #makemefamous #foryoupage

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ΔΕΝ ΞΑΝΑ ΜΙΛΑΩ ΠΟΤΕ!!! #fyp #viral #greektiktok #live #streamer #clips #gaming #fy #itsonly_skillz @itsonly_skillz

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@officialsb19 || WHY DO YOU LOVE SB19? (sorry sa qual😭) #ppop #120fps #sb19#sb19justin #sb19pablo #sb19stell #sb19josh #sb19ken #trend #edit #fyp #fypシ #foryou #2025 #zyxcba #sb19sawconcert #SAW TAGS: @stellyxq @znl.edxts @jampawlo143 I don’t own any fancams in this edit — credit goes to the original owners.

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Hoy soy Repsol💙🧡 @lubricantesrepsolbolivia #fyp#andypostigo#foryoupage#repsol

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