Hi David,

this is very interesting. Would you be willing to share your code? I'd
be interested at least in the SysConfig -> DB part.
Making OTRS better cluster-able is definitely a goal for us.

Regards, mg

Am 09.04.15 um 14:38 schrieb David Boyes:
>> Which ' local file system'  references are you talking about?
> 
> Any time the code refers to a file on disk for configuration or operational 
> information instead of the database. My goal was to have the entire OTRS 
> system code (with the exception of the data it operates on) to be read-only. 
> I operate environments where truly read-only code can be efficiently 
> physically shared, and I wanted to take advantage of that. 
> 
>> There are just a few places where OTRS uses local file systems (session
>> storage, attachments, VirtualFS which is used by Change
>> Management) and all these also have options to use a database backend.
>> Apart from that, there is the loader cache for which there is the 
>> '--generate'
>> option now.
>> There is also the SysConfig which is stored in a file on disk.
> 
> Yes. Recent versions of the OTRS code are much, much better about not storing 
> node-specific code elements in external disk files (thank you!), which is why 
> I said my code would need updating. You weren't as careful about that in 
> earlier releases.
>  
>>  Did you store the minified JS and CSS files in the database? And the
>> SysConfig values? that's nice but it might be a little bit over-engineered. 
> 
> OK. If it's not useful, then no harm done. I think at least the parts that 
> move sysconfig data into the database would be useful (one of the most common 
> problems I see here is caused by not regenerating that cache file), but no 
> big deal. 
> 
>> Also,
>> the vast majority of OTRS users will not need clustered setups, and will use
>> vertical scaling  - bigger machines - or maybe break out the database server
>> to a separate machine, and avoid all headaches that come with multiple
>> master nodes.
> 
> Here I would disagree. As people virtualize more and more of their 
> infrastructure, there is significant hard data that small numbers of bigger 
> machines perform much more poorly than multiple smaller machines and are much 
> harder to tune for performance. It takes a lot more work for a hypervisor to 
> manage a few big machines than multiple smaller machines (especially on Intel 
> architectures which are not optimized for this kind of thing). Consider page 
> table mapping, swap infrastructure for large VMs and balancing in-memory vs 
> file caching for big machines when you need to bring substantial numbers of 
> pages in and out before a machine can be dispatched efficiently. It really 
> does work out better in terms of system overhead in a shared resource 
> environment to have a horizontally scalable design than a vertically scaled 
> one. You also gain a measure of HA design that allows concurrent maintenance 
> if done properly (another common problem seen here is not having a way to do 
> rolling up
>  grades to avoid outages, which really needs to be present for 
> enterprise-grade services). 
> 
> Definitely break out the database server in any case, but I'd argue much more 
> strongly for well-behaved cluster performance than just throwing hardware at 
> the problem. Horizontal and vertical scaling aren't mutually exclusive if you 
> design for them properly. 
> 
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