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Zenoss Launches Identity Management Capabilities

Zenoss released advanced identity management capabilities, helping ensure protection of sensitive credentials while in use and at rest throughout the Zenoss Cloud platform.

This represents another key building block in the security and privacy features Zenoss has released since launching Zenoss Cloud in 2018.

Zenoss Cloud connects to secure resources to collect and send health and performance data. The new Zenoss Cloud capabilities provide enhanced security for user credentials, controlling storage and usage under a central service, which is necessary for ensuring best practices are consistently applied.

The new capabilities also enable credentials to be centrally defined and managed, allowing customers to easily track everywhere a given credential is used and ensure only authorized users have access to the technology resources they need to perform their job functions. This is also critical when credentials must be rotated, revoked or otherwise updated. The identity management framework also supports integrations with third-party secret management solutions.

"With the massive quantities of data organizations need to protect, identity management is more important now than ever before," said Trent Fitz, chief product officer for Zenoss. "The capabilities we just released will help our customers protect their sensitive information so they can confidently and rapidly scale their digital businesses."

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Zenoss Launches Identity Management Capabilities

Zenoss released advanced identity management capabilities, helping ensure protection of sensitive credentials while in use and at rest throughout the Zenoss Cloud platform.

This represents another key building block in the security and privacy features Zenoss has released since launching Zenoss Cloud in 2018.

Zenoss Cloud connects to secure resources to collect and send health and performance data. The new Zenoss Cloud capabilities provide enhanced security for user credentials, controlling storage and usage under a central service, which is necessary for ensuring best practices are consistently applied.

The new capabilities also enable credentials to be centrally defined and managed, allowing customers to easily track everywhere a given credential is used and ensure only authorized users have access to the technology resources they need to perform their job functions. This is also critical when credentials must be rotated, revoked or otherwise updated. The identity management framework also supports integrations with third-party secret management solutions.

"With the massive quantities of data organizations need to protect, identity management is more important now than ever before," said Trent Fitz, chief product officer for Zenoss. "The capabilities we just released will help our customers protect their sensitive information so they can confidently and rapidly scale their digital businesses."

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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 ...

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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 ...

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