Satish Venkatesan and Rag Ramanathan talk about Cognizant cloud-native digital business solutions and platforms that support the business and next-gen IT transformations within insurers.
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.
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.
Ming Zhou and Adam Lewis share their experience of building cloud automation and orchestration platforms.
Justin Smith discusses credential hygiene in distributed systems, covering topics such as key encrypting keys, hardware security modules, and promising advances in muti-party computation.
Simon Chan shares the on-going challenges, the design dilemma and the steps to be taken when building customized large-scale predictive ML applications on a ML SaaS platform.
Casey West talks about anti-patterns and corresponding best practices based on his experience building application infrastructure and platforms, as well as the applications which are deployed to them.
Cornelia Davis maps Cloud Foundry's key functions to IT roles, explaining how Cloud Foundry can be used to optimize development and operations (Devops) in the organization.