An as-a-service offering that delivers on-demand capacity and planning, combining the agility and economics of public cloud with the security and performance of on-premises IT.
Enterprises are looking to modernize applications and deliver a cloud-like experience for end users and developers. In this podcast, experts discuss how containers can modernize the IT environment and deliver an as-a-service experience for enterprise AI, machine learning, and analytics.
Businesses of all sizes are digitally transforming and re-engineering applications and business processes for greater agility, flexibility, and speed. This calls for agile development and delivery of applications as microservices. To accelerate application development and innovation, enterprises are turning to containerized deployment of applications.
But while it is straightforward to deploy modern, cloud-native applications in containers, these represent only a small portion of enterprise applications. The vast majority of enterprise applications are still non-cloud-native and would benefit from the agility, flexibility, and efficiency that containers and open source software bring.
According to Chris Gardner of Forrester, risk reduction and security are additional key considerations for such a solution, to which clients have said, "If you don't show me open source models and open source software up front as a method for delivering your technology to me, I'm going to probably ignore it."
The large enterprise model can be optimized by using containers to connect between cloud-native and monolithic applications. This enables the business to deliver a cloud-like experience, not just for application development but a wide range of use cases, without rearchitecting the applications.
Listen to this HPE-Forrester discussion on how containers and open source Kubernetes make that possible.
This article/content was written by the individual writer identified and does not necessarily reflect the view of Hewlett Packard Enterprise Company.
