Use One Big Server (2022)
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Use One Big Server (2022)
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Re: Use One Big Server (2022)
#2Re: Use One Big Server (2022)
#3Re: Use One Big Server (2022)
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#5Don't forget the cost of managing your one big server and the risk of having such single point of failure.
Re: Use One Big Server (2022)
#6A big pain point that I personally don't love is that this non-cloud approach normally means running my own database. It's worth considering a provider who also provides cloud databases.
If you go for an 'active/passive' setup, consider saving even more money by using a cloud VM with auto scaling for the 'passive' part.
In terms of pricing the deals available these days on servers are amazing you can get 4GB RAM VPSs with decent CPU and bandwidth for ~$6 or bare metal for ~$90 for 32GB RAM quad core worth using sites like serversearcher.com to compare.
Re: Use One Big Server (2022)
#7Re: Use One Big Server (2022)
#8Don't forget the cost of managing your one big server and the risk of having such single point of failure.
Re: Use One Big Server (2022)
#9Regardless of the cost and capacity analysis, it's just hard to fight the industry trends. The benefits of "just don't think about hardware" are real. I think there is a school of thought that capex should be avoided at all costs (and server hardware is expensive up front). And above all, if an AWS region goes down, it doesn't seem like your org's fault, but if your bespoke private hosting arrangement goes down, then…
I for one really miss being able to go see the servers that my code runs on. I thought data centers were really interesting places. But I don't see a lot of effort to decide things based on pure dollar cost analysis at this point. There's a lot of other industry forces besides the microeconomics that predetermine people's hosting choices.
Re: Use One Big Server (2022)
#10An IBM z17 is effectively one big server too, but provides levels of reliability that are simply not available in most IT environments. It won't outperform the AMD rack, but it will definitely keep up for most practical workloads.
If you sit down and really think honestly about the cost of engineering your systems to an equivalent level of reliability, you may find the cost of the IBM stack to be competitive in a surprising number of cases.