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Univa announced Navops Command, which implements workload placement and policy management for enterprises to take advantage of containers on any Kubernetes distribution.
In addition, Navops provides the unique ability to better maximize utilization of shared resources and manage service applications running at scale. Navops Command's ability to run on any Kubernetes distribution means that customers can choose to work with any number of vendors participating in the CNCF (Cloud Native Computing Foundation), like RedHat's OpenShift, Navops Launch or CoreOS's Tectonic, and still get the benefit of Command's advanced policy management.
"We are excited to see enterprise software vendors like Univa bring their expertise in high-scale deployments to the Kubernetes ecosystem," said David Aronchick, Senior Product Manager, of Kubernetes. "Kubernetes is designed to be a pluggable, customizable platform and Univa has enabled enterprises to use Navops Command and make it possible to use Kubernetes to do advanced workload policy management."
Key capabilities include:
• Advanced scheduling algorithms
• Sophisticated policies for managing SLAs
• Automate prioritization when resources become scarce
• Manage cluster resources efficiently
• Works with any Kubernetes distribution
"Deploying and running container-based applications in complex, brownfield environments yields many complexities and challenges," said Rob Lalonde, VP and GM of Navops. "Navops Command allows for enterprise-grade container placement based on real-world, complex use cases by leveraging advanced policy management, allowing business to optimize resource utilization at scale."
Navops is a suite of products that enables enterprises to take full advantage of Kubernetes and provides the ability to quickly and easily deploy a container-ready infrastructure and run containers at scale. Navops utilizes workload placement and advanced policy management across on-premise, cloud, and hybrid infrastructures. With Navops, companies can automate micro-service applications and efficiently respond to end-user demand.