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Regarding server sizing for postgres database
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* Regarding server sizing for postgres database
@ 2014-05-17 05:20 Ramkumar Raghavan <ramkumar.raghavan@gmail.com>
  2014-05-19 22:37 ` Re: Regarding server sizing for postgres database Steve Crawford <scrawford@pinpointresearch.com>
  0 siblings, 1 reply; 2+ messages in thread

From: Ramkumar Raghavan @ 2014-05-17 05:20 UTC (permalink / raw)
  To: pgsql-admin

Hi,

  I need to decide the server hardware configuration for the postgres
database.

I have the following information for sizing:

concurrent users: 100

Total data traferred throughout a day to the database: 10GB

Total database storage size required: 3TB

I am planning to virtualize it using vmware ESXi.

Please let me know if 10 core, 64bit Intel CPU, 24GB RAM sufficient for the
above requirements.

Thanks
Ramkumar

^ permalink  raw  reply  [nested|flat] 2+ messages in thread

* Re: Regarding server sizing for postgres database
  2014-05-17 05:20 Regarding server sizing for postgres database Ramkumar Raghavan <ramkumar.raghavan@gmail.com>
@ 2014-05-19 22:37 ` Steve Crawford <scrawford@pinpointresearch.com>
  0 siblings, 0 replies; 2+ messages in thread

From: Steve Crawford @ 2014-05-19 22:37 UTC (permalink / raw)
  To: Ramkumar Raghavan <ramkumar.raghavan@gmail.com>; pgsql-admin

On 05/16/2014 10:20 PM, Ramkumar Raghavan wrote:
> Hi,
>
>   I need to decide the server hardware configuration for the postgres 
> database.
>
> I have the following information for sizing:
>
> concurrent users: 100
>
> Total data traferred throughout a day to the database: 10GB
>
> Total database storage size required: 3TB
>
> I am planning to virtualize it using vmware ESXi.
>
> Please let me know if 10 core, 64bit Intel CPU, 24GB RAM sufficient 
> for the above requirements.
>
>
Who knows?

100 mostly idle users doing small optimized selects is a far cry from 80 
users with rapid response requirements doing a constant heavy stream of 
inserts and updates to tables with multiple indexes and foreign-key 
constraints while the other 20 are doing large reporting and analytics 
queries. Both use-cases match the above description.

To get a useful answer you will need to provide lots more detail about 
the nature of the workload and expected responsiveness.

Cheers,
Steve



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