Tencent Cloud Server Selection Guide: How to choose different instance types? Which business scenarios are suitable?
As a distributor who has been deeply involved in cloud computing for many years, I am often asked a headache question by users:
"It is also 2-core 4G. Why is the price difference between Tengxun Cloud CVM so much? Can you choose the cheapest one?"
In fact, buying a cloud server is like buying a car. If you just buy vegetables instead of walking, Wuling Hongguang is enough. But if you want to pull dozens of tons of goods on the high speed, you have to drive heavy trucks. In Tencent Cloud's system, different "instance families (Instance Families)" are designed to deal with different
Traffic Load (Workload)
。
Today, I don't want to talk about virtual parameters, but I will directly load dry goods and take you to disassemble them from the perspective of actual combat:
Tengxun cloud server in the end how to choose?
A guide to 1.: Why is "type" more important than "configuration?
Many novices only look at CPU, memory and price. As a result, the money is spent, but the business cannot run:
Select the wrong type: the database query is as slow as a snail, or the CPU is stuck inexplicably as soon as it reaches its peak.
Resource mismatch: Buy an expensive computing type to run a low-load website, which is a pure waste of cost.
Core Logic:
The instance type determines the resource allocation of the underlying hardware"
and
"Instruction Set Optimization".
Deep Analysis of 2. Core Examples: Check in
1. Almighty: Standard (Standard)
Representative model: S5, S6
Ratio: The CPU to memory ratio is usually 1:2 or 1:4.
Old blogger comments: this is the most worry-free choice. If you are a start-up business or haven't done an accurate stress test, you have no brain to enter the standard type. It balances computing, memory, and networking, with few short boards.
Applicable business: enterprise official website, WordPress blog, small and medium-sized Web backend, small program development.
2. Concurrency: Computational (Compute)
Representative model: C6, C7
Ratio: CPU to memory ratio is fixed at 1:2.
Comments by old bloggers: This example has a higher CPU frequency and a strong single accounting force. If your code logic is complex, or if you run Java, Golang, which consumes a lot of CPU, choose it.
Applicable business: high concurrency API service, video transcoding, batch computing, SaaS platform.
3. Large memory capacity: memory-optimized (Memory-Optimized)
Representative model: M5, M6
Ratio: CPU to memory ratio up to 1:8.
Old blogger comments: this server is to "fast". When your data needs to be exchanged frequently in memory, memory capacity is your lifeblood.
Applicable business: Redis cache, large MySQL database, Elasticsearch search, MongoDB.
3. professional field: specialize in technical field
4. AI and graphics lifeblood: GPU / NPU type
GPU series: core is universal computing power
。 AI model training, 3D rendering, cloud gaming essential.
NPU series: Optimized specifically for AI inference (Inference). If your model has been trained, just for online running recognition, NPU is far more cost-effective than GPU.
5. Massive throughput: big data (Big Data)
Features: The focus is not on CPU, but on local storage for high throughput and ultra-large capacity.
Applicable businesses: Hadoop cluster, Spark computing, and TB-level log analysis.
6. Top King: Bare Metal Server
Old blogger comments: its appearance is a cloud, the heart is a physical machine. There is no virtualization loss and 100 percent of resources are exclusive.
Applicable business: financial core transaction system, core Oracle database, or special scenarios requiring "nested virtualization.
4. one-minute selection decision table
Business Type
Recommended Instance Series
Reasons for recommendation
Enterprise official website/personal station
Standard type
Best balance between cost and performance
High Concurrency API/Video Processing
Computational
Pursuit of high frequency and computational response speed
MySQL/Redis/Search
Memory Optimized
Reduces disk IO and accelerates data retrieval
Large Model Training/Deep Learning
GPU type
Provides massive floating-point computing capabilities
Financial Core/Extreme Stability
Bare metal
Physical level isolation with zero virtualization loss
Scientific Computing/Meteorological Simulation
High Performance Computing Cluster (HPC)
Pursue RDMA speed network communication
Purchase standard:
Select the type first, then the configuration: select the memory type for the database, and select the standard type/computing type for the web.
Make good use of monitoring and flexible adjustment: The biggest advantage of cloud servers is that they can be adjusted up and down at any time. First, run from a medium specification and observe for one month. If the CPU is lower than 10% for a long time, reduce the allocation decisively and save money. If the memory alarms frequently, even if the CPU is not busy, it will be upgraded.
