Server scalability in proactive mode

Not exactly a technical but more philosophical question.

Currently I am dealing in more reactive mode vs. proactive.  When CPU or memory hits the limit we scale our server farm with more servers.

What I would like to do is to predict and add servers before we hit the limit and loose customers.  So we can avoid a downtime and things will be smooth and transparent.

Anyone has a good knowledge about that?  Advice?  How to predict and scale in predictive manner vs. reactive?

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Neil RussellTechnical Development LeadCommented:
Work on a %age.

If your average server runs 10 VM's (Assuming vms, could be web apps or anything) and you have 10 servers then as soon as you have a TOTAL of 80 VM's running, install more servers/CPU's/RAM.

That example works on running at 80% peak of performance. You may feel 75 is better or 90. Its down to speed of expansion vs speed of increase in VM's, Can you upgrade quick enough if your already at 90%?


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Tiras25Author Commented:
Very good idea on VMs.  Same would apply on physical servers?
Neil RussellTechnical Development LeadCommented:
Indeed yes, although the metrics are a little harder to define on a physical server that is running an App or two. Its more a case of monitoring performance and when you hit a constant threshold, upgrade or replace. Often performance tunning can put off the need for replacement until the physical server is due for its natural refresh cycle, normally dictated by end of warrenty.
Ramdasa MayyaSenior Software DeveloperCommented:
This should be predictive mode
Can be done using performance testing. Have some tool to generate maximum hits you may expect in peak time. So as validate the reliability of servers
Tiras25Author Commented:
Still looking into this.  Will assign points soon.
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