A superior customer experience is now a competitive advantage, as Amazon so deftly demonstrates through its effective combination of software and data. We explore how traditional retailers can thrive in this new landscape by delivering a more compelling, personalized experience for their customers.
Starting with personas "modern customer" and "clothing retailer", we demo a microservices-based experimental solution which combines Cloud Foundry, Spring Boot, Spring Cloud Dataflow, cloud-based machine learning, and a mobile app.
The result: better engage with the customer, understand her, and deliver compelling offers that retain her loyalty.
The demo code is available under an Apache 2.0 license: https://github.com/pivotal-cf/oss-pcf-gcp-retail-demo
Gemalto are using Cloud Foundry as the product delivery mechanism for a new marketplace of data protection services. Dan will explain how EngineerBetter have worked with Gemalto to iterate on their platform, build their team and shape their working process. Then Vincenzo will guide the audience through the platform architecture, showing how CF on public cloud has been integrated with physical datacentres to deliver the service. The audience will learn:
How Gemalto have made unique use of Cloud Foundry’s features to support their go-to-market aims
Continuous deployment and testing of CF, using Concourse to promote change across multiple environments
Practical examples of how to build high performance platform teams who have a product mindset