How much is the 8-core 32GB memory of Tencent ECS? How to choose?  

Tencent Cloud 8 core 32G How much is the memory server? How to choose? Tencent ECS The 8-core 32G memory belongs to the medium configuration model and is used in medium and large business environments. We are very careful when selecting models with higher configurations like this one. First, it costs a lot of money. Second, the business environment should not be sloppy and problems should not occur easily. Therefore, this article shared by Weieis blog helps you to reasonably select cloud servers, which saves both money and trouble.

1、 Tencent Cloud 8-core 32G memory model

The CPU memory ratio of this configuration is 1:4, which is a memory consuming model. It is used for businesses that consume memory in particular, such as enterprise applications of various types and sizes, small and medium-sized database systems, caches, search clusters, data analysis and computing, computing clusters, and memory dependent data processing. If load balancing, object storage and cloud database are combined, millions of PV/day will be fine.

Except that SA1 model is AMD CPU, all other models use Intel ® processors. All CPU loads are unlimited, and the maximum utilization rate is 100%. With network enhancement, the packet forwarding capability is high. It is applicable to various application scenarios such as personal website building, APP, and enterprise users. It is mainly used for business scenarios that consume large system resources.

2、 How to select different models

AMD CPU models are suitable for cost sensitive users. Compared with the configuration, this model has low cost, comparable performance and minimal cost. Note that this model cannot be directly upgraded to Intel model, only the server can be replaced;

The standard model is the main cloud server type currently promoted by Tencent Cloud. The performance and price are relatively balanced, and it is the preferred model for our business. The S2 model has lower internal network bandwidth and network receiving and sending than the S4 model, and the price is correspondingly cheaper;

As the name implies, the high IO type has extremely strong disk IO performance, and can be used for services with high read frequency requirements;

The difference between the computing C2 model is that the intranet bandwidth is the largest, and it is suitable for telecom services, SMS services, online games, video, e-commerce services, etc.

The big data type has relatively strong comprehensive performance, and is suitable for customers in the Internet industry, game industry, financial industry and other industries with big data computing and storage analysis needs. The business scenarios for massive data storage and offline computing fully meet the requirements of Hadoop represented distributed computing business types on instance storage performance, capacity and intranet bandwidth.

We choose AMD models or standard instances for our ordinary website business, giving consideration to both cost and performance; If the requirement is higher, consider the computational C2 instance; Select high IO type instances with high read/write requirements; Financial industry and other mandatory big data instances.