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Zenoss Launches Free Trial for Kubernetes Monitoring

Zenoss announced the launch of a free trial for monitoring Kubernetes, a platform for running containers in production at scale, including in on-prem and cloud environments.

The Zenoss monitoring capabilities for Kubernetes enable customers to:

- Begin monitoring in minutes with no training required for operations personnel.

- Leverage secure, cloud-based monitoring with zero install.

- Gain insights for Kubernetes clusters in a single pane of glass along with the broader infrastructure for those deployments in AWS, Azure and Google Cloud, as well as in private or hybrid clouds and on-prem environments.

- Get complete visibility into the health and performance of nodes, services, pods, containers, namespaces and more.

- Immediately access actions, notifications and intelligent dashboards with out-of-box templates.

Zenoss Cloud is an AI-driven full-stack monitoring platform that collects all machine data, uniquely enabling the emergence of context for preventing service disruptions in complex, modern IT environments. Zenoss Cloud leverages powerful machine learning and real-time analytics of streaming data to deliver AIOps, giving companies the ability to scale and adapt to the changing needs of their businesses.

Zenoss Cloud enables visibility into container orchestration systems, like Kubernetes, along with all other infrastructure supporting the applications being delivered by the systems.

“Containerized applications have become a staple in modern enterprise IT environments,” said Trent Fitz, chief product officer at Zenoss, “yet most deployments are inefficient due to a significant lack of visibility into the health and performance of all Kubernetes components. The insights Zenoss Cloud provides dramatically improve the ability of organizations to maximize the benefits of their Kubernetes environments.”

Zenoss Cloud monitoring for Kubernetes is generally available now, with no download required.

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Zenoss Launches Free Trial for Kubernetes Monitoring

Zenoss announced the launch of a free trial for monitoring Kubernetes, a platform for running containers in production at scale, including in on-prem and cloud environments.

The Zenoss monitoring capabilities for Kubernetes enable customers to:

- Begin monitoring in minutes with no training required for operations personnel.

- Leverage secure, cloud-based monitoring with zero install.

- Gain insights for Kubernetes clusters in a single pane of glass along with the broader infrastructure for those deployments in AWS, Azure and Google Cloud, as well as in private or hybrid clouds and on-prem environments.

- Get complete visibility into the health and performance of nodes, services, pods, containers, namespaces and more.

- Immediately access actions, notifications and intelligent dashboards with out-of-box templates.

Zenoss Cloud is an AI-driven full-stack monitoring platform that collects all machine data, uniquely enabling the emergence of context for preventing service disruptions in complex, modern IT environments. Zenoss Cloud leverages powerful machine learning and real-time analytics of streaming data to deliver AIOps, giving companies the ability to scale and adapt to the changing needs of their businesses.

Zenoss Cloud enables visibility into container orchestration systems, like Kubernetes, along with all other infrastructure supporting the applications being delivered by the systems.

“Containerized applications have become a staple in modern enterprise IT environments,” said Trent Fitz, chief product officer at Zenoss, “yet most deployments are inefficient due to a significant lack of visibility into the health and performance of all Kubernetes components. The insights Zenoss Cloud provides dramatically improve the ability of organizations to maximize the benefits of their Kubernetes environments.”

Zenoss Cloud monitoring for Kubernetes is generally available now, with no download required.

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...