Buy Apple 27" iMac, Retina 5K Display, 3.5GHz Intel Core i5 Quad Core, 8GB RAM, 1TB Fusion Drive, Silver, MNEA2LL/A (Newest Version): Everything Else - Amazon.com. · I think so too and for the higher price it better. the Memory chips don’t cost that much lol. Buy Apple 21.5" iMac, Retina 4K Display, 3.0GHz Intel Core i5 Quad Core, 8GB RAM, 1TB HDD, Mac OS, Silver, MNDY2LL/A (Newest Version): Everything Else - Amazon.com. Apple iPhone 6 Price starts at Rs. 28,994. The lowest price of Apple iPhone 6 is at Flipkart, which is 3% less than the cost of iPhone 6 at Amazon (Rs. 29999). ![]() How much RAM does a server actually need? Not really any way to easily tell because it is entirely dependent on your usage and the application. You're maxing out a database server.. What are your transaction stats? The real- world limitations are obvious in your scenario. ![]() You're running for awhile on 6 gig without problem, then it's swapping and thrashing. Thus 6 gig isn't enough. If performance is enough that it impacts business, then your higher ups should be hearing enough complaints that it is prudent to up the memory. Figure out what your time costs and then figure out how much it will cost to "tune" the server and troubleshoot the tuning, when memory added to the server may very well solve the issue for the cost of memory and less than a half hour of downtime. You'll not know the exact amount of memory you need until you actually deploy in your real- life usage and work from there. That said, you might want to verify that your application is truly the bottleneck. Run the windows performance monitor to see your disk i/o statistics and network throughput. See what your fragmentation level is as well (Google is a good friend here). You could try auditing the code for obvious issues too where a query is being massively inefficient (Google again). But again it all depends on how badly this is impacting the business. Is it worth more to invest in the tuning, or is it bad enough to throw hardware at it first and then try tuning it?
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November 2017
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