Application scenarios
Updated at:2025-10-20
| Scenario type | Instance type recommendations | Description |
|---|---|---|
| Personal website/enterprise website/e-commerce | General-purpose instance | Well-suited for enterprise applications of various sizes, including small to medium-sized database systems, caches, and search clusters. |
| Relational database/distributed cache | Memory-optimized instance | Ideal for high-performance databases, in-memory databases, data analysis, data mining, and distributed in-memory cache systems. |
| NoSQL database | Local SSD instance | Designed for I/O-intensive scenarios such as Cassandra and Cloud Database MongoDB, which require high disk read/write speeds and low-latency performance.
| For more information, please refer to [Cloud Disk Server (CDS)](https://cloud.baidu.com/doc/CDS/s/rjwvyachw#%E5%A6%82%E4%BD%95%E9%80%89%E6%8B%A9%E4%BA%91%E7%A3%81%E7%9B%98) and [Baidu Load Balance (BLB)](https://cloud.baidu.com/doc/BLB/s/Ajwvxno34).
| Massively multiplayer online role-playing game | Compute-optimized instance | Ideal for applications demanding significant computational resources, such as web front-end servers, Massive Multiplayer Online (MMO) role-playing game front-ends, data analysis, batch processing, video encoding, and high-performance scientific and engineering tasks. |
| Live streaming | Suited for scenarios involving high volumes of network packet transmission or reception, such as video bullet comments and teleservice relays. | |
| Deep learning/image processing | GPU instance | It significantly boosts the operational speed of large-scale computing frameworks like machine learning and scientific computation, providing essential infrastructure support for building AI and high-performance computing platforms. |
| Hadoop/Spark/ElasticSearch | Applicable for Hadoop and Spark clusters as well as other enterprise applications requiring substantial memory capacity. |
