Platform9 Unveils Solution to Increase Software-Defined Stores


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Concept: California multi-cloud service provider Platform9 has launched a new software-defined store solution to help retailers catalyze the deployment of store applications and improve digital experiences for consumers. The retail solution enables retailers to centrally manage store IT with a converged infrastructure stack.

Nature of the disturbance: Platform9 introduced the software-defined store solution to help retailers deploy and manage applications that enable digital customer in-store experiences. The technology enables retailers to run a converged in-store infrastructure stack, turning each location into a software-defined mini-cloud that sums up multiple geographically dispersed regions and stores into a single, shared global cloud. With the addition of support for KubeVirt (which allows virtual machines to run on Kubernetes), retailers can manage both containers and virtual machines using a cloud native methodology. With the Platform9 Profile Engine, a new cluster policy management and governance tool, retailers can ensure that clusters are configured the same across all stores. Retail DevOps teams can also use CI / CD technology, APIs, and an application library to facilitate large-scale application management. Platform9’s retail offering, which is available as a fully managed SaaS service, is backed by cloud specialists who provide proactive 24/7 support.

Outlook: Consumers are increasingly demanding a seamless, omnichannel digital shopping experience in stores, at the curb and on the Internet. Due to latency, bandwidth, or availability issues, many of these applications must run in stores. Platform9’s solution can run a mix of classic and contemporary applications on a network of stores using a distributed native cloud architecture. In addition, with Platform9, merchants benefit from a managed solution with 24-hour support. Platform9 also produced a white paper that provides a reference architecture that retailers can use for their own use cases, based on its expertise in deploying large scale retail store systems.

This article originally appeared in Verdict.fr

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