Rohit Kelapure provides guidance and best practices in migrating monolithic mainframe apps and data including JCLs wrapped in CICS and IMS using Spring components like Spring Data Flow, Cloud, Batch.
Lenley Hensarling describes how EnterpriseDB Cloud Management can provide responsible DevOps models for the enterprise.
C. Nemalipuri, L. Rastogi and R. Bennett talk about the approach that they chose to modernize their services and put them on a track towards a microservices based architecture running on Cloud Foundry
Stephen Bohlen explores Azure Service Fabric, microservices and actors, discussing how they can simplify the development of massively parallel systems and the ability to reason about them.
Vipul SavJani, Christopher Tretina talk about the challenges faced transforming of Comcast’s ESP from SOA architecture to Cloud-Native architecture using microservices, DevOps, and PaaS.
Thomas Fredell and Ashish Pagey talk about how Merrill Corporation is solving real business challenges delivering software as Java microservices deployed to PCF running on Microsoft Azure.
Ed Anuff and Carlos Eberhardt talk about the experience building one of the first Service Brokers to leverage route services with Apigee quota enforcement, spike arrests, and content caching.
Alois Reitbauer discusses challenges and solutions on the organizational, development and operational side, deploying faster, decoupling a monolith without breaking the logic and dynamically scaling.
David Ferriera describes how ForgeRock provides a standards-based blueprint that offers a flexible solution to balance security and performance while protecting Cloud Foundry services end-to-end.
Mark Ardito talks about how Healthcare services Corp has evolved and retooled in six months to become digital-first, and maintain their leadership in the industry using Spring, microservices, and PCF.
Ming Zhou and Adam Lewis share their experience of building cloud automation and orchestration platforms.
Nick Beenham describes how the Enterprise Services Team at Comcast transformed from large monolithic deployments with cycle times of anything from 90 days to cycle times measured in hours.