Features:
Website applications
New websites usually have low or sporadic traffic. In cases such as these, you can host your websites on low-configuration instances that can provide sufficient performance for basic website components. As your business grows, you can scale up your instance or scale out to more instances at any time to handle traffic spikes.
E-commence applications
Some e-commerce applications, especially applications used in flash sales or promotions, may experience brief, sharp fluctuations in traffic. In cases such as these, you can use Auto Scaling to automatically scale your ECS instances based on business forecasts to maintain steady, predictable performance at the lowest possible cost.
Website applications
New websites usually have low or sporadic traffic. In cases such as these, you can host your websites on low-configuration instances that can provide sufficient performance for basic website components. As your business grows, you can scale up your instance or scale out to more instances at any time to handle traffic spikes.
E-commence applications
Some e-commerce applications, especially applications used in flash sales or promotions, may experience brief, sharp fluctuations in traffic. In cases such as these, you can use Auto Scaling to automatically scale your ECS instances based on business forecasts to maintain steady, predictable performance at the lowest possible cost.
Website applications
New websites usually have low or sporadic traffic. In cases such as these, you can host your websites on low-configuration instances that can provide sufficient performance for basic website components. As your business grows, you can scale up your instance or scale out to more instances at any time to handle traffic spikes.
E-commence applications
Some e-commerce applications, especially applications used in flash sales or promotions, may experience brief, sharp fluctuations in traffic. In cases such as these, you can use Auto Scaling to automatically scale your ECS instances based on business forecasts to maintain steady, predictable performance at the lowest possible cost.
Website applications
New websites usually have low or sporadic traffic. In cases such as these, you can host your websites on low-configuration instances that can provide sufficient performance for basic website components. As your business grows, you can scale up your instance or scale out to more instances at any time to handle traffic spikes.
E-commence applications
Some e-commerce applications, especially applications used in flash sales or promotions, may experience brief, sharp fluctuations in traffic. In cases such as these, you can use Auto Scaling to automatically scale your ECS instances based on business forecasts to maintain steady, predictable performance at the lowest possible cost.
Website applications
New websites usually have low or sporadic traffic. In cases such as these, you can host your websites on low-configuration instances that can provide sufficient performance for basic website components. As your business grows, you can scale up your instance or scale out to more instances at any time to handle traffic spikes.
E-commence applications
Some e-commerce applications, especially applications used in flash sales or promotions, may experience brief, sharp fluctuations in traffic. In cases such as these, you can use Auto Scaling to automatically scale your ECS instances based on business forecasts to maintain steady, predictable performance at the lowest possible cost.
Transcoding for real-time videos
During the Double 11 Global Shopping Festival gala in 2019, instances with GPU capabilities and FPGAs were used to support video transcoding at resolutions of 1080P, 2K, and 4K in real-time while consuming minimal bandwidth. Instances with FPGAs transcoded videos in 720P in real time based on the H.265 standard with a 21.6% reduction in bandwidth consumption. Instances with GPU capabilities supported high-concurrency real-time video streaming of more than 5,000 channels, gradually rose to the peak of 6,200 channels per minute, and smoothly handled the traffic peak.
Transcoding for real-time videos
During the Double 11 Global Shopping Festival gala in 2019, instances with GPU capabilities and FPGAs were used to support video transcoding at resolutions of 1080P, 2K, and 4K in real-time while consuming minimal bandwidth. Instances with FPGAs transcoded videos in 720P in real time based on the H.265 standard with a 21.6% reduction in bandwidth consumption. Instances with GPU capabilities supported high-concurrency real-time video streaming of more than 5,000 channels, gradually rose to the peak of 6,200 channels per minute, and smoothly handled the traffic peak.
Transcoding for real-time videos
During the Double 11 Global Shopping Festival gala in 2019, instances with GPU capabilities and FPGAs were used to support video transcoding at resolutions of 1080P, 2K, and 4K in real-time while consuming minimal bandwidth. Instances with FPGAs transcoded videos in 720P in real time based on the H.265 standard with a 21.6% reduction in bandwidth consumption. Instances with GPU capabilities supported high-concurrency real-time video streaming of more than 5,000 channels, gradually rose to the peak of 6,200 channels per minute, and smoothly handled the traffic peak.
Transcoding for real-time videos
During the Double 11 Global Shopping Festival gala in 2019, instances with GPU capabilities and FPGAs were used to support video transcoding at resolutions of 1080P, 2K, and 4K in real-time while consuming minimal bandwidth. Instances with FPGAs transcoded videos in 720P in real time based on the H.265 standard with a 21.6% reduction in bandwidth consumption. Instances with GPU capabilities supported high-concurrency real-time video streaming of more than 5,000 channels, gradually rose to the peak of 6,200 channels per minute, and smoothly handled the traffic peak.
Transcoding for real-time videos
During the Double 11 Global Shopping Festival gala in 2019, instances with GPU capabilities and FPGAs were used to support video transcoding at resolutions of 1080P, 2K, and 4K in real-time while consuming minimal bandwidth. Instances with FPGAs transcoded videos in 720P in real time based on the H.265 standard with a 21.6% reduction in bandwidth consumption. Instances with GPU capabilities supported high-concurrency real-time video streaming of more than 5,000 channels, gradually rose to the peak of 6,200 channels per minute, and smoothly handled the traffic peak.