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Questions to ask:
- is it read-heavy or write heavy? what is the ratio (assumption)
- traffic estimates, in seconds
- Queries Per Second (QPS)
- the raw request that hits your server
- Read/Write ratio, in order to get
- Reads per second
- Writes per second
- storage estimates, in TOTAL
- assumption of how long you store the data for before you throw it away
- Number of Objects
- the unit of things you use to power your app, could be URL, could be User row in db, could be files for a cloud storage system etc.
- Total Size required to store those objects IN TOTALITY
- if assumption is to store data for 5 years, then it's Number of Objects added to the system per month * 5 years
- bandwidth estimates
- write requests per second, based on traffic estimates
- read requests per second, based on traffic estimates
- memory estimates
- caching for hot objects
- your app unit that gets used frequently
- follow the 80/20 rule
- 20% of your objects generate 80% of traffic
example result
| type | unit |
|---|
| New URLs (WRITE) | 200/s |
| URL redirections (READ) | 20K/s |
| Incoming data | 100KB/s |
| Outgoing data | 10MB/s |
| Storage for 5 years | 15TB |
| Memory for cache | 170GB |