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Blog

Treb Ryan

Merriam-Webster defines "balkinization" as: to break up (as a region or group) into smaller and often hostile units.

Balkinization has come to Cloud and it's a disturbing trend.

Recently, one of our competitors announced its exit from traditional public Cloud in order to focus solely on offering Managed Cloud Solutions. You can now only buy Cloud if you buy a bundle of services to go with it. This is a disconcerting announcement.

Craig Salsbery

The RFP process is a tried and true staple for helping IT shops make decisions about their infrastructure and services direction. From physical devices through SaaS applications, it has traditionally been the way people identify the unique benefits of a vendors offering. However, its primary application is usually around commodity products to create an "apples to apples" comparison.

David McKenzie

It still amazes me the lack of requirements companies provide when asking for disaster recovery solutions. It's a fairly common request with the companies we encounter in the SaaS Solutions group at Dimension Data. I mean, DR is an important item for a SaaS company to contemplate.

Jon Farrell

When we are discussing migrating applications to our Cloud enterprise clients it’s critical to talk about how the process will unfold. I often draw up a simple diagram to get the discussion going. Today I would like to talk about the workload definition phase, and specifically application architecture. (We can come back to Discovery and Execution at a later date.) One of my favourite aspects is looking at how applications should be deployed to support application resiliency and Disaster Recovery (DR) options.

Craig Salsbery

Let’s face it, Cloud adoption is driven by the panacea of leveraging a complex asset for a lower price than you can do it yourself. This of course is a one-dimensional assessment of the value of Cloud. Ask any Cloud naysayer (affectionately known in our industry as a “server hugger”) and they will tell you that they can do it much cheaper than any public Cloud. The crux of the argument always comes down to CAPEX vs. OPEX.

Many times the conversation goes like this:

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