When "It's So Easy" goes to pieces: Two tales about the complexities of Azure and Amazon clouds
As managed cloud service providers, we often get asked to intervene when cloud deployments go awry. Attracted by apparent ease-of-use, flexibility, and low computing costs, companies quickly adopt leading public cloud platforms such as Amazon Web Services (AWS) and Microsoft Azure.
What happens next depends on a myriad of factors, including the technical depth an organization has in-house or the partner network they have in place, as well as a strategic plan for digital transformation.
The companies who successfully deploy these public cloud platforms have typically brought together the right blend of internal/external cloud and technical expertise. But increasingly, we meet with organizations when the promises of the public cloud have failed to come true.
First, an AWS story. Company X (a promising software provider) launches its new cloud-based application across global markets. The product launch goes well and demand grows. But so do the cloud bills, from a $20k bill for November consumption to $58k for December. By January, the serving costs soared to the $70s. For February, they received a $98,000 monster bill resulting in negative profit margins.
The cause? A lack of internal expertise to configure and manage their AWS environment in a way to keep performance high and costs consistent. They underestimated its complexity.
Concerto's team stepped in to help, rewiring Company X to eliminate unnecessary instances and server sprawl. We reduced their costs by half and made those costs predictable.
Story #2 is about Company Y, an upper mid-market organization that deployed a new healthcare ERP solution on Microsoft Azure. They experienced nothing short of terrible performance and reliability issues. Unable ...
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