Cisco announces Kubernetes-based Cisco Container Platform

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At the Cisco Live EMEA 2018 event held in Barcelona, the company has announced its new Cisco Container Platform (CCP), a Kubernetes-based turnkey software platform for deployment and management of containerized applications across both private and public cloud environments.

According to the official press release, the Cisco Container Platform is a turnkey, open and production-grade software container platform which should simplify and accelerate the way that 100 percent upstream Kubernetes container clusters are configured, deployed and managed.

Although there are a couple of container orchestration systems, including Mesos and Docker Swarm, Kubernetes has pretty much won the battle and it was a logical move for Cisco.

Although it allows management on multiple deployment platforms, including virtual machines (VMs) and bare metal, it has been optimized for the recently announced Cisco HyperFlex 3.0, where it can be licensed separately or as an integrated solution.

The Cisco Container Platform also includes Contiv for container networking that can be integrated with Cisco Application Centric Infrastructure (Cisco ACI), enabling container deployment and setting ACI network policies through Kubernetes.

Cisco was quite keen to note that the Cisco Container Platform is a result of close work with Google Cloud to extend optimize the Kubernetes platform for on-premises production environments, allowing enterprises to move workloads between private and public clouds. It offers an API layer which is fully compatible with Google Cloud Platform and Google Kubernetes Engine allowing seamless transitioning of applications from the private to the public cloud.

According to the company, the new Cisco Container Platform will be available in April this year as software optimized with Cisco HyperFlex 3.0, and as software supported on VM infrastructure, bare metal, and public cloud in summer. As noted, the price will be subscription-based on a number of cluster nodes deployed.