FEATURE relatively small then it is possible to run it in parallel in the public cloud as well as in the private cloud .
But don ’ t forget that general report generation and analytics can generate more database usage than transactions .
So , it is important to consider all the data that a company uses when you are looking at hybrid cloud implementations .
You will be penalised by high level egress costs if you pull lots of data out of the public cloud rather than generate volume into the cloud .
A growing area for hybrid implementations is AI where enterprises are building AI applications for hosting at regional Edge data centres – being closer to the source of the data – and the AI tools built by the public cloud providers for prototyping and achieving scale . This approach helps enterprises start with small projects in the cloud and grow into a larger deployment . Again , a full understanding of the data charges must be understood as part of the process .
As well as the cost of data egress and storage in the cloud , some applications will be highly reliant on low latency . If
John Hall , Managing Director – Colocation , Proximity Data Centres
this is the case , then it is best to host the application in the Edge data centre in a private cloud infrastructure , close to where the data is generated . www . intelligentdatacentres . com
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