Application Scenarios and Flavors
ECSs are virtual machines that can be scaled up or down based on changes in traffic or demand. ECSs can be rapidly provisioned. You can use computing and storage resources based on your needs at a low cost, reducing your hardware costs. A unified management platform simplifies management and maintenance, which enables you to focus on services.
ECSs are widely used in various scenarios, including:
- Simple applications or small-traffic websites
Simple applications or small-traffic websites, such as blogs and enterprise websites, have relatively low requirements on the computing and storage performance of the server. A single cloud server will meet the requirements. If you have higher requirements on CPUs, memory, data disks, or the system disk of an ECS, you can modify the ECS flavor or expand disk capacity. You can also create new ECSs at any time.
- Multimedia making, video making, and image processing
Based on performance and characteristics, ECSs are divided into multiple types. Multimedia making, video making, or image processing scenarios have their specific characteristics. For these scenarios, you can choose ECSs with high CPU and GPU computing performance to meet your service requirements.
- Databases and other applications that require fast data exchange and processing
For databases and other applications that require high I/O performance on servers, you can choose high I/O ECSs, which provide better read and write performance and lower latency, thereby improving the file read and write rate.
- Applications with noticeable load peaks and troughs (supported only in Region Type I and II scenarios)
For applications that have apparent traffic peaks, such as video websites, school course selection systems, and game companies, the number of visits may increase significantly within a short time. To improve resource utilization and ensure that your applications run properly, you can use AS to work with ECSs. You can configure AS policies so that ECSs are automatically added and removed during traffic peaks and lulls, respectively. This helps maximize resource utilization and also meet service requirements, thereby reducing costs.
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