This Python library allows interactions with the CrowdFlower API from a Python application. CrowdFlower is a cloud service that uses crowdsourcing to harness a round-the-clock workforce that spans more than 70 countries, multiple languages, and can access up to half-a-million workers to dispatch diverse tasks and provide near-real time answers.
Authorization for iOS Bitcoin Apps now just a fingerprint away. Google launches a cloud monitoring API for its cloud platform. Plus: In-game equipment management API coming soon, and there is a women-only hackathon in Chennai, July 25.
One of the challenges with testing applications in the cloud is that it’s difficult to replicate the production environment where those applications will ultimately run. No matter how big the cloud is, the data center where those applications are tested usually bears little resemblance to the data center where the applications will actually end up running.
One of the big debates these days when it comes to cloud computing center around portability and interoperatbilty between providers. That is, if you build an application on Amazon's EC2 or Google's AppEngine or Force.com, or store your data on Box.net or Amazon's S3, how hard is it to port your application or move your data to another cloud provider? If you develop on a given platform, how locked-in, or not, are you? And beyond that, could developers benefit from having standardized APIs to develop to without having to learn a new model and interface each time. As you'd expect, there's no easy answer to this.