A compelling use case for exposing an API in the cloud is to make available resources of an existing enterprise application for new development.
For example, let’s say you have a new mobile application that awards customer loyalty points related to purchase activity. In cases of customer complaint, you may want to give service reps the option to assign a customer points as part of a satisfying resolution. To do that, you need guidelines for how many points to assign based on customer history. An existing business rules system in the company’s on premises data center could provide this guidance if off premises reps could access it. Exposing API access to the rules system becomes a development priority.
In this webinar, Andrew Trice demonstrates the process of building and scaling an API on Node.js using StrongLoop’s Loopback framework, whose visual editing consoles enables rapid development of complete RESTful CRUD APIs. Andrew then shows how to deploy the API onto the cloud platform in an appropriate container.
Andrew Trice – MobileFirst Developer Advocate with IBM
With the advent of IBM Bluemix, it has never been easier to start playing with Hadoop, specifically IBM’s Analytics for Hadoop. The IBM Analytics for Hadoop Bluemix service leverages IBM’s Hadoop offering, BigInsights, to power the latest mobile, web and cloud applications. It also provides an opportunity for enterprise IT administrators who are looking to adopt Hadoop, to explore the rich enterprise features that BigInsights provides. If you are new to Hadoop technology and want to get hands-on quick, you have come to the right place.
In this interview with the Bluemix blog, Sam Ramji, CEO at Cloud Foundry, explains the significance of the grand opening of the IBM Cloud Foundry Dojo in RTP, NC, how the organization balances corporate interests with running an open source project, how they position Cloud Foundry containers versus Docker containers, etc.
There’s little room for error when it comes to moving 400,000 people, on any given weekday, to their final destination. The key to BART’s success is their maintenance reliability system which monitors the status of cars in 44 stations covering over 100 miles of track. With such a vast area to cover, it’s no wonder why Ravi Misra, CIO of BART, wanted to mobilize the maintenance reliability system to better respond to maintenance issues and improve customer service.