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MongoDB Atlas database-as-a-service now allows distributed MongoDB databases to span the Amazon, Google, and Microsoft clouds
These days, everyone on the cloud migration team is dispersed all over the city or country. This presents some challenges, but I see more opportunities.
Now anyone can be a model designer with assistive tooling and a new automated ML development service. All you need is data.
10 tips for stretching Amazon’s free services to the limit and keeping your cloud bill near zero.
It's clear that cloud computing will continue to grow, but here are three less-obvious aspects to keep on your radar.
Once your cloud architecture works, it’s time to optimize it for efficiency and cost. An audit will reveal how much value it adds to the business.
Microsoft scaled down its flagship database, squeezing it into 500MB and running it on edge hardware.
Just because Google, Amazon, or Facebook does it doesn’t mean you should. Here are four ‘best practices’ of the hyperscalers you have permission to ignore.
Many plan to use the same tools from one cloud migration project to the next. A command and control center might give different advice.
Convoluted cloud solutions are a big reason cloud implementations don’t work as hoped.