Zenoss Inc., the leader in AI-driven full-stack monitoring, today announced it has released streaming data monitoring for Kubernetes, the most widely deployed open-source orchestration platform used to manage containerized applications. This real-time monitoring of Kubernetes streaming data is part of a broader set of initiatives focused on cloud-based monitoring, which enables visibility for ephemeral systems that cannot be effectively monitored by traditional monitoring tools.
Kubernetes was designed by Google in 2014 and donated to the Cloud Native Computing Foundation in 2015. It has become the de facto standard for running containers in production at scale, including in cloud environments such as AWS, Azure and Google Cloud. Also known as K8s, Kubernetes is supported by a community of professional programmers and coders from around the world. There have been over 2.8 million contributions to Kubernetes made by companies. Along with containers, Kubernetes has emerged as a primary technology for modern cloud-native workloads. According to the Cloud Native Computing Foundation, organizations using or evaluating Kubernetes increased from 78% in 2019 to 96% in 2022.
Zenoss initially released monitoring and analytics for Kubernetes in 2018 and has delivered continuous innovation to become a leading monitoring platform for container-based environments. Zenoss provides full-stack monitoring and AIOps for public and private clouds, as well as for all on-prem IT infrastructure. The platform provides a view of containerized applications in the context of the broader infrastructure. This provides a common view for IT Operations, DevOps, DevSecOps, and business-level users.
In addition to previously existing capabilities, Zenoss monitoring for Kubernetes now provides:
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Monitoring insights for Kubernetes clusters in a single pane of glass along with the broader infrastructure for K8s deployments in AWS, Azure and Google Cloud, as well as in private or hybrid clouds and locally hosted environments
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Secure, cloud-based monitoring with zero install
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Data collection and analytics in under five minutes
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Visibility into the health and performance of nodes, services, pods, containers, namespaces and more
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Intelligent dashboards with out-of-box templates
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Smart View, actions and notifications
"There is a significant shortage of visibility into health and performance in these highly complex container orchestration environments," said Trent Fitz, chief product officer for Zenoss. “Just as application developers have adapted to be more efficient, scalable and automated, we are doing the same for monitoring these environments.”
Zenoss Cloud is the leading AI-driven full-stack monitoring platform that streams all machine data, uniquely enabling the emergence of context for preventing service disruptions in complex, modern IT environments, including those built on Kubernetes. 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.
About Zenoss
Zenoss works with the world's largest organizations to ensure their IT services and applications are always on. Delivering full-stack monitoring combined with AIOps, Zenoss uniquely collects all types of machine data, including metrics, dependency data, events, streaming data and logs, to build real-time IT service models that train machine learning algorithms to deliver robust AIOps analytics capabilities. This enables IT Ops and DevOps teams to optimize application performance, predict and eliminate outages, and reduce IT spend in modern hybrid IT environments. Zenoss is recognized in The Forrester Wave™: Intelligent AIOps Platforms, Q4 2022, the 2022 Gartner Market Guide for AIOps Platforms, and in the 2022 Gartner Market Guide for IT Infrastructure Monitoring Tools.