Use Case | Common Software | Description | Recommended Model |
Web service | NginxApache | The Web service generally covers personal website, blog, and large-scale ecommerce website. This use case requires a balance of compute, storage, and memory resources. We recommend Standard instances. | Standard S and SA |
Middleware | Kafka MQ | The message queue service requires relatively balanced compute and memory resources. We recommend Standard instances using cloud disk as storage. | Standard SComputing C |
Database | MySQL | The database business requires extremely high I/O performance. We recommend instances using SSD cloud disks and local disks. When selecting an instance using local disk, remember to back up data to avoid data loss. | High I/O ITMemory Optimized M |
Cache | RedisMemcache | The cache business has a high requirement for memory and moderate requirement for computing performance. We recommend Memory Optimized instances for the high CPU/RAM ratio. | Memory Optimized M |
Big data | HadoopES | The big data business requires mass storage and moderate I/O throughput. We recommend Big Data instances. When selecting an instance using local disk, remember to back up data to avoid data loss. | Big Data D |
High performance computing | StarCCMWRF-Chem | The high performance computing business requires both the ultimate single-machine computing power and the efficient multi-machine scaling. We recommend HPC with the high-speed RDMA network connection or Compute instances. | HPCCompute C |
Virtualization | KvmOpenStack | The virtualization application requires the nested virtualization of a cloud server without incurring additional performance overhead while maintaining the virtualization capability like a physical machine. We recommend CPM 2.0 products. | HPCCPM 2.0 |
Video rendering | UnityUE4 | The video rendering business requires supporting graphic and image processing APIs, such as DirectX and OpenGL. We recommend GPU Rendering GN7vw instances. | GPU Rendering GN7vw |
AI-based computing | TensorFlowCUDA | The AI-based computing business requires the parallel processing capability, high GPU computing power, and video memory. | GPU ComputingHPC |
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