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groundcover Announces Support for Amazon EKS

groundcover announced the launch of its observability platform for Amazon Elastic Kubernetes Service (Amazon EKS) environments, with a native integration with the Amazon EKS console.

This important milestone will allow organizations using Amazon EKS to install groundcover on their managed Kubernetes clusters instantly, as an Amazon EKS add-on, verified and managed by Amazon Web Services (AWS).

groundcover's Amazon EKS add-on works seamlessly with Amazon EKS clusters, simplifying the process of ensuring clusters are secure and stable while also reducing the manual work needed for installation, configuration, and updates. This marks yet another expansion for groundcover in its supported cloud environments and further advances its mission to reinvent observability. By leveraging groundcover's proprietary eBPF sensor, organizations are changing the way they monitor their cloud-native environments, removing the cost barriers and minimizing resource drainage.

In addition, groundcover is now also available in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on AWS. This enables millions of AWS active users to easily install and start using groundcover directly from AWS Marketplace. It also provides additional confirmation of the quality and stability of the groundcover platform, while adhering to the high standards of AWS.

groundcover utilizes eBPF to create a full-stack observability platform that provides instant value without compromising on scale, granularity or cost. Its proprietary eBPF sensor was built in a performance-first mindset, harnessing kernel resources to create a cost-efficient architecture for Amazon EKS observability. By collecting all its observability data using eBPF, groundcover eliminates the need for intrusive code changes and manual labor, and the need to deploy multiple external agents. This streamlined approach not only enhances the coverage and depth of observability but also eliminates the unexpected effects of the observability stack for the time-critical application code, as all data collection is done at the kernel-level, with minimal performance overhead, and without configuring side-cars or agents.

The result is an instant, super-granular visibility into what's happening within an Amazon EKS Kubernetes cluster, enabling a cost-efficient approach to observability.

Shahar Azulay, CEO and Co-Founder of groundcover, said, "groundcover breaks the visibility-cost tradeoff, ensuring teams don't have to compromise on visibility depth to manage budgets responsibly. We've made it our mission, and now with AWS on our side, to allow teams to get the most out of their observability at a fraction of the existing cost in the market today."

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groundcover Announces Support for Amazon EKS

groundcover announced the launch of its observability platform for Amazon Elastic Kubernetes Service (Amazon EKS) environments, with a native integration with the Amazon EKS console.

This important milestone will allow organizations using Amazon EKS to install groundcover on their managed Kubernetes clusters instantly, as an Amazon EKS add-on, verified and managed by Amazon Web Services (AWS).

groundcover's Amazon EKS add-on works seamlessly with Amazon EKS clusters, simplifying the process of ensuring clusters are secure and stable while also reducing the manual work needed for installation, configuration, and updates. This marks yet another expansion for groundcover in its supported cloud environments and further advances its mission to reinvent observability. By leveraging groundcover's proprietary eBPF sensor, organizations are changing the way they monitor their cloud-native environments, removing the cost barriers and minimizing resource drainage.

In addition, groundcover is now also available in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on AWS. This enables millions of AWS active users to easily install and start using groundcover directly from AWS Marketplace. It also provides additional confirmation of the quality and stability of the groundcover platform, while adhering to the high standards of AWS.

groundcover utilizes eBPF to create a full-stack observability platform that provides instant value without compromising on scale, granularity or cost. Its proprietary eBPF sensor was built in a performance-first mindset, harnessing kernel resources to create a cost-efficient architecture for Amazon EKS observability. By collecting all its observability data using eBPF, groundcover eliminates the need for intrusive code changes and manual labor, and the need to deploy multiple external agents. This streamlined approach not only enhances the coverage and depth of observability but also eliminates the unexpected effects of the observability stack for the time-critical application code, as all data collection is done at the kernel-level, with minimal performance overhead, and without configuring side-cars or agents.

The result is an instant, super-granular visibility into what's happening within an Amazon EKS Kubernetes cluster, enabling a cost-efficient approach to observability.

Shahar Azulay, CEO and Co-Founder of groundcover, said, "groundcover breaks the visibility-cost tradeoff, ensuring teams don't have to compromise on visibility depth to manage budgets responsibly. We've made it our mission, and now with AWS on our side, to allow teams to get the most out of their observability at a fraction of the existing cost in the market today."

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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 ...