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Contabo, Netcup ... real memory or SSD cached?
For a project I need to spin up a Elasticsearch cluster, who is is actively using the filesystem cache.
With both Contabo and Netcup I could got 10 instances with around 600 GB Memory at EUR 300-450, which would be very well for real memory but probably to good to be true?
Does anyone have experience if they really assign dedicated real memory (not backed by SSD)?
Any other provider I should take a look on this?
Comments
Contabo is notorious for their network and has had negative reviews in the back.
NetCup almost makes up for their amazing value by being another pain in the ass German provider (ID verification, cancellation policy etc.)
No one talking about Hetzner?
@OP
If you want to be sure about resources go for something dedicated
Heymman have in offer dedi with 512 GB ram for $299 (atm its sold out).
Info from hetzner (ive sent this ticket on 5/23/2018):
Dedispec had promo for Dual Xeon 2660 with 64 gigs of ram for $59, thats 640 gb of ram for $599
Heymman have also dual xeon servers with 128 gb of memory for $89 (atm sold out). it would give 640gb of memory for $445
Hetzner server bidding have Xeon 1650 offer with 128 gb ram for around 85 euro on average, this would be 640 gigs of ram for 425 euro.
Currently out of stock though, and I wouldnt count on those cpu thingies to do anything aside from produce some heat.
@nico you should go for Dedi, this one is good for your requirements - 256GB RAM for 110 euro - https://robot.your-server.de/order/marketConfirm/959460/culture/en_/country/OTHER
Regarding VPS, most providers use different technologies to increase amount of available memory per VM like memory ballooning, memory deduplication, zRAM, so it is not just using SSD for memory swapping.
They do assign real memory.
In case anyone is curious about contabo
https://serverscope.io/trials/BV7r#unix
Do not use a VPS for that
What are you doing with this cluster and needing that much ram? How high is the query load, etc.? Elasticsearch is a Lucene client and Lucene manages ram pretty carefully, keeping the top levels of the index tree in ram while allowing hitting disk for lower levels. If you have fast SSD you should be able to hit high query rates with lower amounts of ram.
For elasticsearch usually you wouldn't want a server with more than 64GB ram. If the setup fee is OK you could get the EX41S-SSD with 2x250GB SSD and use them in raid0.