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( This content is being syndicated through multiple channels. The opinions expressed are solely those of the author and do not represent the views of GovCloud Network, GovCloud…
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Although this was published in June, I just saw it and felt it was to good not to repeat:
A Methodology for Cloud Computing Architecture
- Peel off the applications individually, to detangle the appliance mess (use case analysis).
Categorize applications as batch, online, heavy transactional, or reporting – where the former two indicate likely cloud apps. - Think of cloud computing as a way to load balance your application demands across different grids of available resources.
- Slide the clouds across different grids depending on costs, scheduling needs, or failover capacity.
- Take the hit to replicate critical data across different grids, to have it ready for a cutover within minutes; that’s less expensive than buying insurance.
- Run your own multiple data centers as internal grids, but have additional grid resources ready for handling elastic demands (which you already have, in quantity).
- Reassure your DBAs and sysadmins that their roles are not diminished due to cloud computing, and instead become more interesting – with hopefully a few major headaches resolved.
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Cloud Computing
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A couple nice points made, like load balancing / HA across clouds, and assuring employees they will keep jobs. This seems more like notes or brainstorm jotted down. 6 points do not make a systems methodology.