VP Innovation at Axway, Co-founder at Vordel

Mark O'Neill

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White Paper with Ben Kepes - "10 Best Practices for Thriving in the API World"

Top 10 lists are all the rage these days. I blame Buzzfeed. We've all seen titles like "Top Ten reasons why this incredible thing is incredible - you won't believe number 7!!!!"

But, I hope that in the case of the white paper which I'm privileged to have co-written with Forbes' Ben Kepes on "10 Best Practices for Thriving in the API World", I hope the Top 10 is more sober and useful. Take Best Practice number 3: "Use a Common API Layer to Ground the Cloud":
This idea of a buffer layer extends beyond applications; infrastructure elements,
communication channels, mobile devices, application components and sensor inputs
are all examples where interplay between on-premise resources and the outside world
often needs to occur. The key is to find a buffer layer that bridges the gap between the
inside world and the outside. This requires solutions that turn existing systems into
broadly consumable APIs (and also solutions that do the reverse). 
While many people think that a successful API strategy rests on moving everything to
the cloud, or at least to new architectures, the reality is different. On-premise is not
going away for many good reasons. Instead, you should focus on wrapping applications
in an API-enabling layer that allows them to readily talk to the outside world while still
running on traditional infrastructure and architectures.
You can snag your copy of the white paper on the Axway site. And don't worry, it's one document and not a ten-page pageview-maximizing "Click for the next one" list :)

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More Stories By Mark O'Neill

Mark O'Neill is VP Innovation at Axway - API and Identity. Previously he was CTO and co-founder at Vordel, which was acquired by Axway. A regular speaker at industry conferences and a contributor to SOA World Magazine and Cloud Computing Journal, Mark holds a degree in mathematics and psychology from Trinity College Dublin and graduate qualifications in neural network programming from Oxford University.