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Zenoss Now Available on Google Cloud Marketplace

Zenoss announced a new offering on the Google Cloud Marketplace, making it easier for organizations to immediately access and leverage Zenoss monitoring and AIOps.

As a subscription-based offering, Zenoss Cloud delivers full-stack monitoring combined with the power of AIOps, enabling holistic intelligent application and service monitoring with a goal of lights-out IT operations.

"We have seen a huge surge of interest across all industries around leveraging the broadest sets of machine data to reduce the risk of digital transformation," said Ani Gujrathi, CTO of Zenoss. "With the availability of Zenoss on the Google Cloud Marketplace, organizations can benefit from the highest level of flexibility and fastest time to value to gain unparalleled insights into their hybrid IT environments."

Modern infrastructures can generate millions or even billions of high-cardinality data points every day — context surrounding every IT metric collected. Zenoss lets you reap the benefits of the most complete context, dramatically improving the effectiveness of AIOps algorithms.

With this unique set of capabilities, Zenoss Cloud provides:

■ Immediate Root-Cause Analysis

- Use real-time modeling to gain awareness of end-to-end infrastructure-related risks

- Isolate problems immediately to improve MTTR and eliminate service outage losses

- Gain total visibility of overall IT service health with intelligent dashboards and reports

- Collaborate across teams to coordinate investigation and problem-solving

■ Prevention of IT Disruptions

- Leverage high-cardinality data to ensure continuous reliability of ephemeral systems

- Leverage AI and machine learning for predictive analytics

- Evolve from availability and performance to capacity and optimization

- Eliminate risk associated with digital transformation

■ Optimized Application Performance

- View performance and anomalies across all on-premises and cloud infrastructures

- Get AIOps insights to predict service health and performance issues

- Apply consistent monitoring policies across all cloud and on-premises systems

- Deliver management as a service for DevOps teams

■ Intelligent Automation

- Share key data and insights with other ITOM tools to automate a rapid resolution

- Future-proof your monitoring platform to run at any scale and accelerate digital transformation

- Enable agile IT while eliminating employee fatigue by reducing alerts by 99.9975%

The Latest

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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 ...

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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 ...

Zenoss Now Available on Google Cloud Marketplace

Zenoss announced a new offering on the Google Cloud Marketplace, making it easier for organizations to immediately access and leverage Zenoss monitoring and AIOps.

As a subscription-based offering, Zenoss Cloud delivers full-stack monitoring combined with the power of AIOps, enabling holistic intelligent application and service monitoring with a goal of lights-out IT operations.

"We have seen a huge surge of interest across all industries around leveraging the broadest sets of machine data to reduce the risk of digital transformation," said Ani Gujrathi, CTO of Zenoss. "With the availability of Zenoss on the Google Cloud Marketplace, organizations can benefit from the highest level of flexibility and fastest time to value to gain unparalleled insights into their hybrid IT environments."

Modern infrastructures can generate millions or even billions of high-cardinality data points every day — context surrounding every IT metric collected. Zenoss lets you reap the benefits of the most complete context, dramatically improving the effectiveness of AIOps algorithms.

With this unique set of capabilities, Zenoss Cloud provides:

■ Immediate Root-Cause Analysis

- Use real-time modeling to gain awareness of end-to-end infrastructure-related risks

- Isolate problems immediately to improve MTTR and eliminate service outage losses

- Gain total visibility of overall IT service health with intelligent dashboards and reports

- Collaborate across teams to coordinate investigation and problem-solving

■ Prevention of IT Disruptions

- Leverage high-cardinality data to ensure continuous reliability of ephemeral systems

- Leverage AI and machine learning for predictive analytics

- Evolve from availability and performance to capacity and optimization

- Eliminate risk associated with digital transformation

■ Optimized Application Performance

- View performance and anomalies across all on-premises and cloud infrastructures

- Get AIOps insights to predict service health and performance issues

- Apply consistent monitoring policies across all cloud and on-premises systems

- Deliver management as a service for DevOps teams

■ Intelligent Automation

- Share key data and insights with other ITOM tools to automate a rapid resolution

- Future-proof your monitoring platform to run at any scale and accelerate digital transformation

- Enable agile IT while eliminating employee fatigue by reducing alerts by 99.9975%

The Latest

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 ...