Cloud Monitoring
Native protocols used to monitor Vblock components:
Public, Private and Hybrid Cloud Monitoring SoftwareWhether deploying a private, public, or hybrid cloud, the fundamentals of systems management and monitoring do not change. Cloud operations management requires unified visibility and real-time awareness of the entire cloud infrastructure. Dynamic resource prioritization means that cloud servers come and go and change constantly. Provisioning multiple monitoring products for this type of environment is not a scalable approach. However, adding yet another specialized one-off cloud monitoring tool is an even less desirable option. The right choice is Zenoss - a single product that manages physical, virtual, and cloud devices to deliver a complete solution for cloud operations management. It provides comprehensive cloud computing monitoring of networks, devices, and relationships. Model-Driven Cloud Operations Management Ensures Relevance
With cloud devices, Zenoss can model immediately as each server is instantiated. There is no wait for an agent to be deployed and configured – Zenoss provides a comprehensive cloud monitoring tool using functions built into operating systems and applications by manufacturers. For providers using tools such as VMware vCloud, Zenoss provides a unified service assurance console that brings together the operational insights needed to effectively operate a private or public cloud at scale.
Agile Cloud Management Software SolutionsCloud computing is about increased organizational agility provided through the ability to add and remove resources as demands change. Shouldn't your cloud management software help you instead of holding you back? The Zenoss approach is as agile as cloud computing. Learn how Zenoss can help you monitor your cloud-based infrastructure in our resource library of demos, webinars, white papers and more. AnalyticsLearn how Zenoss enables visibility into dynamic operations and accelerates issue resolution. ActionLearn how Zenoss enables action and automation inside rapidly changing dynamic workloads and resource allocations. |