Zenoss Inc. | February 25, 2022
Zenoss Inc., the leader in AI-driven full-stack monitoring, announced it has released expanded monitoring capabilities for Kubernetes, the most widely deployed open-source orchestration platform used to manage container technology across cloud environments. Initially released in 2014, the platform evolved from Google’s code used to manage its data centers and was later donated to the Cloud Native Computing Foundation.
Kubernetes, also known as K8s, has been supported by a community of professional programmers and coders from around the world. Along with containers more generally, Kubernetes has emerged as a primary technology for modern cloud-native workloads. Accordingly, almost 50% of organizations have adopted Kubernetes.
According to Gartner®, “By 2025, 85% of organizations will run containers in production, up from less than 30% in 2020.” This is a strategic planning assumption in their research titled Emerging Technologies: Kubernetes and the Battle for Cloud-Native Infrastructure, October 2021.*
Zenoss monitoring for Kubernetes now provides:
Overall cluster health monitoring
Health monitoring for nodes, services and pods
Dashboards for Kubernetes clusters, nodes, pods and containers
Service impact and root-cause analysis
Monitoring of StatefulSet component, enhancing management of stateful applications
Enhanced filtering for pods and containers
Enhanced templates for clusters, containers and nodes
Enhanced dynamic modeling of pods and containers
Enhanced visibility for controlling cloud expenses
Zenoss initially released monitoring and analytics capabilities for Kubernetes in 2018 and has continuously expanded those capabilities 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.
"Cloud-native environments create new challenges for monitoring highly distributed applications due to the unprecedented complexity and scale. The solution requires modernizing the approach to monitoring, and that’s exactly what we’ve done.”
Ani Gujrathi, chief technical officer for Zenoss
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.
*Gartner, “Emerging Technologies: Kubernetes and the Battle for Cloud-Native Infrastructure”, Michael Warrilow, Wataru Katsurashima, Daryl Plummer, 12 October 2021. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
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 2021 Gartner Market Guide for AIOps Platforms.