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How containers and open source Kubernetes accelerate innovation

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.

In every industry, businesses are digitally transforming and re-engineering their business processes to drive faster innovation. This calls for agile development and modernization of their applications. To accelerate application development and innovation, enterprises are turning to containers and Kubernetes.

But while it is relatively straightforward to deploy new 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 like Kubernetes can bring.

According to Chris Gardner of Forrester, risk reduction and security are another consideration, to which clients have said, "They want to be able to stay current with the changes that are being made in terms of security and other aspects of containerization. But they also want to bring this back to legacy applications, and preferably, they want to do it without having to refactor them, which is often a costly endeavor."

These businesses want to deliver a modern cloud-like experience for application development while ensuring enterprise-grade security—for a wide range of workloads including AI, machine learning, and analytics. 

Chris Gardner, Forrester

Tom Phelan, HPE


Related reading:

Why containers will drive transformations in the 2020s

Why cloud-native open source Kubernetes matters




This article/content was written by the individual writer identified and does not necessarily reflect the view of Hewlett Packard Enterprise Company.