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@ameer_vk: المنتقم الكرار، اشفي غليلنا يا ابا اسحاق #محرم #عاشوراء #10محرم_استشهاد_الامام_الحسين_عليه_السلام #المختار_الثقفي

Ameer🇮🇶
Ameer🇮🇶
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Region: IQ
Friday 26 June 2026 08:44:49 GMT
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az_ma88
بنت مختار ✌🏻🫡 :
ردلي متاابعهه 🥰
2026-06-26 20:06:07
1
noura84986
noura84986 :
الرحمة والخلود لروحه الطاهرة
2026-06-26 19:50:33
0
fatvalybidkne80
:𝟏𝟐:𝟎𝟎 :
شافي جراح اهل البيت
2026-06-26 14:02:37
0
abo_al30
ابو الفضل 🔱🔱 الحيدري :
🥰🥰🥰
2026-06-26 17:12:02
0
dy49xzvx2305
علي 🥰😍 :
❤️❤️❤️
2026-06-26 12:20:52
0
eakif120tt
💀🖤💀EAKIF☠️🖤☠️ :
❤️❤️❤️
2026-06-26 12:05:29
0
sajadxmr
((حيدر حسين)) :
❤️❤️❤️
2026-06-27 13:08:00
0
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Other Videos

اب نہ کسی کا دل دکھائیں گے نہ کسی پہ حق جتائیں گے❤️‍🩹#videos #foryоu #status #esthatic
اب نہ کسی کا دل دکھائیں گے نہ کسی پہ حق جتائیں گے❤️‍🩹#videos #foryоu #status #esthatic
🏠 IoT at Scale: Kinesis Streams! 🛰️ Scenario: Millions of devices stream 10,000 events/sec. You need per-device ordering, real-time analytics, and S3 archiving. Challenge: - Volume: 10k events/sec (exceeds SQS FIFO limits). - Order: Device A's events must stay in sequence. - Storage: Automatic scaling and raw data backup in S3. Solution: Kinesis Data Pipeline 🎯 - Kinesis Data Streams: Use Device ID as the Partition Key to guarantee per-device ordering across shards. - Kinesis Data Analytics: Processes the stream instantly for real-time metrics. - Kinesis Data Firehose: Efficiently batches and delivers raw data to S3. Why not others? - SQS FIFO: Limited to 3,000 msgs/sec; too slow for this scale. - Single Shard: Maxes out at 1,000 records/sec. - Direct Firehose: No ordering guarantees or real-time analytics. Exam Tip: High throughput + Ordered data = Kinesis Data Streams with a Partition Key. 🚀 #AWS #Kinesis #IoT #CloudArchitecture #Streaming #DevOps #KodeKloud
🏠 IoT at Scale: Kinesis Streams! 🛰️ Scenario: Millions of devices stream 10,000 events/sec. You need per-device ordering, real-time analytics, and S3 archiving. Challenge: - Volume: 10k events/sec (exceeds SQS FIFO limits). - Order: Device A's events must stay in sequence. - Storage: Automatic scaling and raw data backup in S3. Solution: Kinesis Data Pipeline 🎯 - Kinesis Data Streams: Use Device ID as the Partition Key to guarantee per-device ordering across shards. - Kinesis Data Analytics: Processes the stream instantly for real-time metrics. - Kinesis Data Firehose: Efficiently batches and delivers raw data to S3. Why not others? - SQS FIFO: Limited to 3,000 msgs/sec; too slow for this scale. - Single Shard: Maxes out at 1,000 records/sec. - Direct Firehose: No ordering guarantees or real-time analytics. Exam Tip: High throughput + Ordered data = Kinesis Data Streams with a Partition Key. 🚀 #AWS #Kinesis #IoT #CloudArchitecture #Streaming #DevOps #KodeKloud
ሞባይል ጥሪ
ሞባይል ጥሪ
#fyp #fypシ #kesfetteyiz
#fyp #fypシ #kesfetteyiz
صاحبك اللي كان هيموت ويجيب آيفون الحلقه كامله #fypジ #iphone #آيفون #الشعب_الصيني_ماله_حل #اكسبلورر_فولو🔥💜
صاحبك اللي كان هيموت ويجيب آيفون الحلقه كامله #fypジ #iphone #آيفون #الشعب_الصيني_ماله_حل #اكسبلورر_فولو🔥💜
ادائي من المرحله الصوت و بس ، اغنيه الناس المغرمين ❤️ #mbc the voice kids #teamdalia #لوجي_نصر #اكسبلور @Daliamubarakofficial
ادائي من المرحله الصوت و بس ، اغنيه الناس المغرمين ❤️ #mbc the voice kids #teamdalia #لوجي_نصر #اكسبلور @Daliamubarakofficial

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