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Cloud Computing Evolves: An Interview with Mats Johansson
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The IoT Nexus: Bosch Connected World 2019 in Berlin
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Tulane University SoPA Selects “Architechting Cloud Computing Solutions”
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Mainframe Synergies for Digital Transformation
In July of 2018, Broadcom announced its intentions to acquire CA Technologies. In the press release, Hock Tan, President and Chief Executive Officer of Broadcom, said: “This transaction represents an…
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.