Hacker News new | past | comments | ask | show | jobs | submit login

The idea is more that when you process data, if you can fit it all in memory (and you don't need lots of CPU power, etc, etc, etc) then just use one machine and don't worry about "clusterising" it.

If you're expecting growth in the size of your dataset (beyond growth in RAM size availability), then, well, maybe don't just use a single machine. Same goes for a whole bunch of similar "it's too large for a single machine" considerations.

Storing data should probably still be persisted to disk, and backed up.




Guidelines | FAQ | Support | API | Security | Lists | Bookmarklet | Legal | Apply to YC | Contact

Search: