Reliable Cloud host ?
toasty at dragondata.com
Sun Feb 26 17:26:31 CST 2012
On Feb 26, 2012, at 4:56 PM, Randy Carpenter wrote:
> We have been using Rackspace Cloud Servers. We just realized that they have absolutely no redundancy or failover after experiencing a outage that lasted more than 6 hours yesterday. I am appalled that they would offer something called "cloud" without having any failover at all.
> Basic requirements:
> 1. Full redundancy with instant failover to other hypervisor hosts upon hardware failure (I thought this was a given!)
This is actually a much harder problem to solve than it sounds, and gets progressively harder depending on what you mean by "failover".
At the very least, having two physical hosts capable of running your VM requires that your VM be stored on some kind of SAN (usually iSCSI based) storage system. Otherwise, two hosts have no way of accessing your VM's data if one were to die. This makes things an order of magnitude or higher more expensive.
But then all you've really done is moved your single point of failure to the SAN. Small SANs aren't economical, so you end up having tons of customers on one SAN. If it dies tons of VMs are suddenly down. So you now need a redundant SAN capable of live-mirroring everyone's data. These aren't cheap either, and add a lot of complexity to things. (How to handle failover if it died mid-write, who has the most recent data after a total blackout, etc)
And this is really just saying "If hardware fails, i want my VM to reboot on another host." If what you're defining high availability to mean "even if a physical host fails, i don't want a second of downtime, my VM can't reboot" you want something like VMware's ESXi High Availability modules where your VM is actually running on two hosts at once, running in lock-step with each other so if one fails the other takes over transparently. Licenses for this are ridiculously expensive, and requires some reasonably complex networking and storage systems.
And I still haven't touched on having to make sure both physical hosts capable of running your VM are on totally independent switches/power/etc, the SAN has multiple interfaces so it's not all going through one switch, etc.
I also haven't run into anyone deploying a high-availability/redundant system where they haven't accidentally ended up with a split-brain scenario (network isolation causes the backup node to think it's live, when the primary is still running). Carefully synchronizing things to prevent this is hard and fragile.
I'm not saying you can't have this feature, but it's not typical in "reasonably priced" cloud services, and nearly unheard-of to be something automatically used. Just moving your virtual machine from using local storage to ISCSI backed storage drastically increases disk latency and caps the whole physical host's disk speed to 1gbps (not much deployment for 10GE adapters on the low-priced VM provider yet). Any provider who automatically provisions a virtual machine this way will get complaints that their servers are slow, which is true compared to someone selling VMs that use local storage. The "running your VM on two hosts at once" system has such a performance penalty, and costs so much in licensing, you really need to NEED it for it not to be a ridiculous waste of resources.
Amazon comes sorta close to this, in that their storage is mostly-totally separate from the hosts running your code. But they have had failures knock out access to your storage, so it's still not where I think you're saying you want to be.
The moral of the story is that just because it's "in the cloud", it doesn't gain higher reliability unless you're specifically taking steps to ensure it. Most people solve this by taking things that are already distributable (like DNS) and setting up multiple DNS servers in different places - that's where all this "cloud stuff" really shines.
(please no stories about how you were able to make a redundant virtual machine run using 5 year old servers in your basement, i'm talking about something that's supportable on a provider scale, and isn't adding more single-points-of-failure)
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