The panelists explore the challenges API platform owners and users face in conflict situations and can be done to mitigate them.
Savas Parastatidis explores the role of Web technologies to deliver sophisticated next-generation knowledge management to the entire planet.
Laura Merling shares advice in building a software platform for the enterprise based on 3 ideas: Product to Sell, Self-Service with Full Service, Things in Common.
Mark Rendle introduces the basic services offered by Windows Azure along with examples of various platform choices that can be used: RavenDB, ASP.NET MVC, Node.js + Express, MongoDB, Sinatra, etc.
Brian Ketelsen introduces Skynet, a platform for polyglot, distributed and composable services that communicate with each other over RPC/JSON.
Bill Heitzeg shares the lessons learned and the process of recreating a new e-commerce platform and website for Domino’s Pizza.
Ola Bini discusses what features a long lasting platform should have, and takes a look at Java to see if it can be that platform.
Jay Parikh will discuss various aspects of the software and systems that make up the Ning platform. Ning powers over 500,000 social networks and is one of the fastest growing Internet sites. Ning is a platform that allows anyone to establish their own social network site. Jay discusses the constraints that must be satisfied by the platform, the architectural basics, the API, and the future.
Mr. West provides a detailed view of cloud computing and how it can be harnessed for the benefit of the enterprise. Issues covered include: agile economies, mobile knowledge workers, global organizations, virtual integration, mobile devices, speed of response, economics of cloud computing, cloud technology considerations, and the evolving cloudscape.
Mano Marks introduces the Google App Engine (a toolset used internally to develop Google applications) and shows how to build scalable systems where the developer worries about the code, and Google worries about the servers. The presentation includes an overview of Google App Engine and a quick introduction to the Google Data APIs.