Mark and Jörg

Many thanks for these comments. In a large sense, they confirm my
intuitions.

Cheers,
Jack

On Fri, Sep 12, 2014 at 4:00 PM, joergpra...@gmail.com <
joergpra...@gmail.com> wrote:

> Not sure what is "extreme". The design of ES may be a surprise for those
> who are not familiar with distributed system architecture.
>
> ES can handle faults in software. I pile up cheap 1U rack servers with 32
> cores, 64G RAM, ~1TB RAID 0. All nodes are equally provisioned.
>
> If a server fails, mostly spindle drives or fans, it is decommissioned and
> repaired.
>
> No need to monitor for master failure or making backups. Master is
> switched over automatically by ES, and replica level 1 (or higher) is a
> must.
>
> Jörg
>
>
> On Sat, Sep 13, 2014 at 12:37 AM, Mark Walkom <ma...@campaignmonitor.com>
> wrote:
>
>> Personally, I'd go with the latter and then let the software handle all
>> the redundancy. You can get super cheap 1RU pizza boxes from Quanta or the
>> like and save yourself a bundle in that area and then leverage automation
>> and configuration using The Foreman and Puppet.
>>
>> Tie a bit more smarts into it and you would have an awesome elastic
>> compute platform. Or just use something like OpenStack, though it might be
>> a bit heavy.
>>
>> Regards,
>> Mark Walkom
>>
>> Infrastructure Engineer
>> Campaign Monitor
>> email: ma...@campaignmonitor.com
>> web: www.campaignmonitor.com
>>
>>
>> On 13 September 2014 03:16, Jack Park <jackp...@topicquests.org> wrote:
>>
>>> Let me pose a question by suggesting two extremes for hardware to create
>>> and maintain a growing ElasticSearch cluster datacenter (not in the cloud).
>>>
>>> One extreme places redundancy at the server hardware level, by which I
>>> mean:
>>> dual power supplies, RAID hard drives
>>>
>>> Another extreme places redundancy in a multitude of backup servers:
>>> commodity servers, single power supply, no RAID on the disks, low cost,
>>> with a cluster monitor that can advise of a failed master or backup, and
>>> can rebuild the replacement
>>>
>>> I would love to learn how others see or implement within the boundaries
>>> of those extremes, with the understanding that the two poles are just
>>> suggestions, there may be other ways to slice this space.
>>>
>>> Many thanks in advance
>>> Jack
>>> ps: documents I read based on a broad query:
>>> https://github.com/aphyr/partitions-post
>>> http://www.elasticsearch.org/case-study/maptimize/
>>>
>>> http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-gateway.html
>>>
>>> http://www.slideshare.net/clintongormley/scaling-realtime-search-and-analytics-with-elasticsearch
>>>
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