To increase hardware resources for our learning lab deployed in previous post, we would stop the instance and modify the type.
For my learning lab, suppose I’d need 2 vCPU, ~12GB RAM and about 20 or 30GB HDD. So let’s compare costs for various combinations available to us. Read [link] for more on various machine types.
The instance will likely run 3 hours per session on an average of 3 days per week in Iowa or Oregon region.
Cost calculation
I made few comparisons using the pricing calculator.
| SN | Class | Family | Series | Type | vCPU | Mem | INR |
| 01 | Regular | General | N1 | Custom | 2 | 13 | 346 |
| 02 | “ | “ | N2 | “ | 2 | 16 | 384 |
| 03 | “ | “ | E2 | “ | 2 | 16 | 265 |
| 04 | “ | “ | E2 | e2-standard-4 | 4 | 16 | 374 |
That’s pretty reasonable than I first imagined. I thought I’d start with SN-03 first for a week, if it’s inadequate I’ll switch to SN-04. Then I read this –
Caution: E2 machine types do not support GPUs, local SSDs, sole-tenant nodes, or nested virtualization. [link]
Conclusion
Nested virtualization is a must have feature for our learning lab. Therefore, we must go with SN-01 at first and switch to SN-03 as needed.
Tags: Cost GCP
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