"NodePrime is essentially building Palantir for distributed datacenters, offering that same level of insight, scalability and speed for provisioning datacenter assets and taking the guesswork out of systems operations and management."
Garry Tan - former lead engineer at Palantir, co-founder of Posterous, YC partner and investor.
"By focusing on automation, governance and through leveraging the NodePrime investment, we now have the ability to manage, configure and scale cloud environments of any size in real-time."
Jason Hoffman - Head of Cloud Technology at Ericsson.
"The capabilities of the NodePrime Platform empower us to take our integration services to the next level, putting purchasing power directly into our customers’ hands. We are excited to provide our network with a solution that brings hyperscale capabilities to any company."
Jessica Geis - CEO of IT consulting firm Blue Chip Tek.
"NodePrime provides a comprehensive and continuous view across all of an enterprise’s IT assets providing a foundation for rapid provisioning, scale-out decisions and centralized management of heterogeneous resources."
Stephen Hendrick - Principal Analyst at Enterprise Strategy Group
The World's First Hyperscale Datacenter Management Platform
The data, tools, and automation power of some of the world's largest datacenters made easy and accessible.
100% VENDOR AGNOSTIC
Modern datacenters are heterogeneous and constantly changing. Built from the ground up to support any vendor in any environment.
The power of big data applied to datacenter infrastructure. Real-time decision making from a single pane of glass.
Microservices that scale to millions of nodes and billions of metrics for tomorrow's distributed datacenter.
ADVANCED MACHINE LEARNING
Iterate collection and automation algorithms to drive unparalleled visibility and performance.
Metal to managed in minutes. 100% vendor-agnostic. Easily extensible for heterogeneous environments.
CONVERGED MACHINE DATA
Metrics, logs and blobs in the same place at the same time. Industry-leading data ingestion performance.