Turbonomic Joins Cloud Native Computing FoundationDecember 15, 2017
Turbonomic today announced that it has joined the Cloud Native Computing Foundation (CNCF), further advancing its commitment to bring self-managing systems to the cloud-native community and accelerate the adoption of Kubernetes. CNCF is committed to sustaining and integrating open source technologies like Kubernetes and Prometheus.
"CNCF is thrilled to have the support of organizations across the globe, like Turbonomic, contributing to diverse industries – each collectively focused on fueling more rapid adoption of cloud-native computing through open source technologies," said Dan Kohn, Executive Director of the Cloud Native Computing Foundation.
By 2020, it’s predicted that 50 percent of the Global 2000 will see the majority of their business depend on their ability to create digitally-enhanced products, services, and experiences. Cloud-native technologies, like Kubernetes, are transforming how well and how fast organizations can deliver the applications that are at the heart of this digitization. However, these technologies are increasing complexity with more dimensions, changes and elements in the environment for IT to manage: a level of complexity that is beyond human scale to manage.
Turbonomic is helping organizations accelerate their cloud-native application innovation instead of spending their resources on day-to-day container orchestration and workload management. Recently Red Hat certified for OpenShift, the platform helps enterprise organizations realize the full promise of cloud-native computing, at scale, by delivering self-managing systems that drive continuous health in these increasingly complex environments.
"As a CNCF member, we’re excited to play a role in making it easier for enterprise organizations to leverage the power and agility of cloud-native technology," said Charles Crouchman, CTO at Turbonomic. "Because of our fundamentally different approach of focusing on workload demand, we are able to help enterprise organizations make intelligent decisions as to which workloads should run where and when, based on advanced real-time analytics. This holistic, continuous, and multi-dimensional approach to workload management becomes especially important for assuring application performance while lowering costs and maintaining compliance across cloud-native and traditional IT stacks."