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Zenoss Launches Real-Time Kubernetes Monitoring

Zenoss 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.

Zenoss initially released monitoring and analytics for Kubernetes in 2018. 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:

- 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

- Secure, cloud-based monitoring with zero install

- Data collection and analytics in under five minutes

- Visibility into the health and performance of nodes, services, pods, containers, namespaces and more

- Intelligent dashboards with out-of-box templates

- 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.”

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Zenoss Launches Real-Time Kubernetes Monitoring

Zenoss 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.

Zenoss initially released monitoring and analytics for Kubernetes in 2018. 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:

- 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

- Secure, cloud-based monitoring with zero install

- Data collection and analytics in under five minutes

- Visibility into the health and performance of nodes, services, pods, containers, namespaces and more

- Intelligent dashboards with out-of-box templates

- 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.”

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Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

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My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

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