AP's API Empowers New Media Through AWS And Azure

 

It’s no secret traditional news organizations are struggling to stay relevant today in an age where an always-connected generation has little use for newspaper subscriptions and nightly news programs. The Associated Press (AP), the world's oldest and largest news cooperative, is one such organization who has felt the threats which this paradigm shift carries and thus the need to intensify its innovation efforts. However, like many organizations today, its in-house IT Ops and business processes weren’t versatile enough for the kind of innovation needed.

"The business had identified a lot of new opportunities we just weren't able to pursue because our traditional syndication services couldn't support them," said Alan Wintroub, director of development, enterprise application services at the AP, "but the bottom line is that we can't afford not to try this."

To make AP easily accessible for emerging Internet services, social networks, and mobile applications, the nearly 164-year-old news syndicate needed to provide new means of integration that let these customers serve themselves and do more with the content — mash it up with other content, repackage it, reformat it, slice it up, and deliver it in ways AP never could think of —  or certainly never originally intended.

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To Get Cloud Economics Right, Think Small, Very, Very Small

A startup, who wishes to remain anonymous, is delivering an innovative new business service from an IaaS cloud and most of the time pays next to nothing to do this. This isn't a story about pennies per virtual server per hour - sure they take advantage of that- but more a nuance of cloud optimization any enterprise can follow: reverse capacity planning

Most of us are familiar with the black art of capacity planning. You take an application, simulate load against it, trying to approximate the amount of traffic it will face in production, then provision the resources to accommodate this load. With web applications we tend to capacity plan against expected peak, which is very hard to estimate - even if historical data exists. You capacity plan to peak because you don't want to be overloaded and cause the client to wait, error out, or go to your competition for your service.

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