Log in / Register Account


When cloud-native meets edge computing

Watch recording from November 13, 2019

Tasked with increasing the speed of innovation while ensuring a great user experience, IT organizations are analyzing the intersection of edge computing and cloud-native application development as a potential solution.

Join this webinar to learn:

  • The market trends of edge computing and cloud-native application development.
  • How bringing them together can help facilitate differentiation and faster innovation by combining technologies like containers and Kubernetes with a highly distributed architecture.
  • How organizations can benefit from the containerization of applications in edge architectures for use cases including 5G, artificial intelligence and machine learning (AI/ML), and Internet of Things (IoT).


Live event date: Wednesday, November, 13, 2019 | 11 a.m. ET

On-demand event: Available for one year afterward.

Jay Lyman

Principal Analyst, Cloud Native and DevOps, 451 Research

Jay Lyman is a Principal Analyst with 451 Research's Applied Infrastructure & DevOps Channel. He covers infrastructure software, primarily private cloud platforms, cloud management, and enterprise use cases that center on orchestration, the confluence of software development, and IT operations known as DevOps, Docker, and containers. Jay's analysis encompasses evolving IT operations and software release models, as well as the technology used to create, deploy, and support infrastructure and applications in today's enterprise and service-provider markets. His key areas of research include OpenStack®, Platform-as-a-Service (PaaS) and enterprise end users.

Jaromir Coufal

Principal Product Manager, Cloud Platforms, Red Hat

Jaromir Coufal is a Principal Product Manager who leads the Global Edge Computing Product and Strategy organization at Red Hat. During his 12 years of experience in the technology industry, he has helped companies across multiple verticals adopt cloud and edge computing practices. Jaromir works across various technologies at the intersection of edge, mobile edge computing, AI/ML, and IoT aiming to provide the best edge solution to industry needs.