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Features:
- Auto Scaling: You can make an Autoscaling group and your ECS instances in the group can automatically scale out or scale in according to the metrics or triggers of your choice, such as CPU utilization or network utilization.
- Auto Provisioning: Auto Provisioning makes it easier for you to take advantage of preemptible instances. It will automatically pick the instances across instance families, availability zones, and purchasing models according to your strategy, such as lowest cost, and utilize preemptible instances as much as possible to maintain your ECS fleet at your desired capacity.
- Dedicated Host Clusters: ECS provides Dedicated Host Clusters (DDH) so that the physical servers are dedicated to you without other tenants on them. You can place your virtual machines on those servers according to your needs.
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.
gn6i, GPU-accelerated compute-optimized instance family
- Innovative NVIDIA Turing architecture
- 16 GB memory (320 GB/s bandwidth) per GPU
- 2,560 CUDA cores per GPU
- Up to 320 Turing Tensor cores per GPU
- Mixed-precision Tensor cores that support 65 FP16 TFLOPS, 130 INT8 TOPS, and 260 INT4 TOPS
- An instance family in which all instances are I/O optimized.
- Supports standard SSDs, ultra disks, and ESSDs that deliver millions of IOPS.
- Supports IPv6.
- Provides high network performance based on large computing capacity.
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.
- Scaling group: You can configure a scaling group to specify the type of instance to which computing resources are allocated. You can also specify the instance configuration source, the maximum and minimum number of instances, and the SLB server group with which you want to associate the scaling group.
- Event-triggered task: Auto Scaling is integrated into cloud monitoring tool or cloud management tool to monitor the metrics of your scaling group in real-time. If the monitored metrics reach the specified thresholds, scaling rules are executed.