Platform Streamlines Management of Software-Defined Environments
Zenoss Inc., the leader in AI-driven full-stack monitoring, announced it has released expanded monitoring capabilities for VMware NSX-T, the agile, software-defined infrastructure solution for building cloud-native application environments.
“The future of IT infrastructures will not be one of homogeneity — it will be a hybrid world full of cutting-edge software-defined technology and applications architected to run across multiple clouds and on-prem environments”
VMware’s NSX is a software-defined networking solution that delivers virtualized networking and security entirely in software. It is a leading enterprise data center SDN solution on the market today that allows businesses to modernize their enterprise data centers by allowing agile controls, including support for:
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- Microsegmentation
- Multicloud networking
- Network automation
- Cloud-native apps
The recently released Zenoss capabilities enhance service impact modeling and root-cause analysis for NSX-T Data Center, which focuses on providing networking, security, automation and operational simplicity for emerging application frameworks and architectures that have heterogeneous endpoint environments and technology stacks. This includes support for cloud-native applications, bare metal workloads, multi-hypervisor environments, public clouds and multiple clouds.
“The future of IT infrastructures will not be one of homogeneity — it will be a hybrid world full of cutting-edge software-defined technology and applications architected to run across multiple clouds and on-prem environments,” said Ani Gujrathi, chief technical officer for Zenoss. “We remain focused on building the only AI-driven monitoring platform designed for that future.”
Zenoss Cloud is the leading AI-driven full-stack monitoring platform that streams and normalizes all machine data, uniquely enabling the emergence of context for preventing service disruptions in complex, modern IT environments. Zenoss Cloud leverages the most powerful machine learning and real-time analytics to give companies the ability to scale and adapt to the changing needs of their businesses.
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