You do understand that the cost of a high-availability cluster is extremely high. For every 9 you add, you increase the cost 10x. So, if it costs $10,000/year to provide 99% uptime, it will cost $100,000/year to provide 99.9% uptime. And, so on.
Those values don't mean very much, so let's use some useful numbers. There are 86,400 seconds in a day. Assuming exactly 365 days in a year, you have 31_536_000 seconds in a year. 99% uptime means you are allowed to be down for 315_360 seconds. That's 3.65 days, or 1h 41m every week. (If your maintenance window is 2 hours every Sunday night, you just blew 99% uptime.) 99.9% uptime is .365 days, or roughly 8h 45m, downtime. 5-9's, or 99.999%, uptime, means that you're allowed to be unavailable for 315.6 seconds, or 5m 15.6s, in a year. That's maintenance, backup, and everything.
I hope your company plans on making a lot of money with this site cause your administration costs for high-availability are going to be a bitch.
- In general, if you think something isn't in Perl, try it out, because it usually is. :-)
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so do you have some stats for comparison between using 1 and n servers ? in terms of performance? would I be able to serve 1000 users at 20 secs per page, or 100 users at 1 second per page ? If I buy a car I like to know how much better it is going to perform than my current one, I already know it will cost me more to run because it's a bigger car...
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Sorry you are being confusing now, you are switching from questions of availability to performance and back again. With a database (unless the engine has been specifically designed to work like this) you are unlikely to get any performance increase from adding any more servers above the first one that is running that database, indeed it is simply going to add more administrative overhead. Adding processors (and memory) to a single server is far more likely to reward you with a performance increase (as long as your OS and RDBMS support SMP).
/J\
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