And consider well your networking: available bandwidth, redundancy,
how front-end client traffic and back-end traffic share or don't share
resources.  Red Hat, Inc in their storage products typically advocates
keeping internal-to-swift network traffic off of NICs handling client
traffic.

Networking can make or break your deployment.

On Mon, Nov 25, 2013 at 12:39 AM, John Dickinson <m...@not.mn> wrote:
> Swift has a modular design, and this allows you the flexibility to deploy to 
> match your needs.
>
> Common deployment patterns are (1) proxy, account, container, object all 
> running on the same hardware (2) proxy on one SKU and 
> account+container+object on another SKU (3) proxy on one SKU, 
> account+container on one SKU, and object on one SKU
>
> I know of production clusters in each of those styles. You would choose one 
> based on your use case, scale, budget, and integration concerns. Specifically 
> to the last point, you need to think about load balancing, SSL termination, 
> identity integration, monitoring and altering, log aggregation, network 
> topologies, etc. There's a ton of factors to consider, but the fundamental 
> design of Swift let's you compose the pieces of the storage engine into a 
> storage system that works very well for you.
>
> --John
>
>
>
>
>
> On Nov 24, 2013, at 8:56 PM, Pravar Jawalekar <pravar3...@gmail.com> wrote:
>
>> Dear Stackers!!
>>
>> I have one question related to 'how swift is actually deployed in production 
>> environment',
>> How object/container/auth servers made communicate to actual underlying 
>> storage infrastructure?
>> I mean do deployment strategy of swift imposes any such restrictions that 
>> services for container, object etc. should be running on node where actual 
>> storage is present?
>>
>> I am sorry if my questions is confusing.
>> But please throw some light in this area - although i have gone through 
>> deployement documents found on open stack sites but they did not seem to 
>> give real picture of swift deployment in real world.
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>
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