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groundcover Launches on GCP Marketplace

groundcover announced the launch of its observability platform in the Google Cloud Marketplace.

This move allows organizations utilizing Google Kubernetes Engine (GKE) to effortlessly install groundcover as a managed service, streamlining observability for their cloud-native applications.

groundcover's integration with GKE simplifies the deployment process, ensuring that clusters are secure and performant while minimizing the operational burden of installation, configuration, and ongoing updates. This launch marks a significant expansion of groundcover's cloud environment support and further solidifies its mission to revolutionize observability. By harnessing groundcover's proprietary eBPF sensor and cost-effective inCloud architecture which allows data to never leave the user's cloud, organizations can redefine how they monitor their cloud-native environments, significantly reducing costs and resource overhead with zero code changes and full-coverage, out-of-the-box.

groundcover's presence in the Google Cloud Marketplace provides GKE users with easy access to its advanced observability tools. This digital catalog of software solutions empowers millions of Google Cloud users to quickly find, evaluate, and deploy groundcover, reinforcing the platform's reliability and commitment to providing the best of breed application performance monitoring solution.

groundcover's kernel-level sensor offers comprehensive application performance monitoring without disrupting existing application code.

By leveraging eBPF, groundcover delivers a full-stack observability platform that provides immediate value without compromising on scale, granularity, or cost. Its innovative architecture collects observability data directly at the kernel level, allowing users to collect logs, metrics and traces instantly with eBPF, and store them inCloud, on their infrastructure, all managed by groundcover. This streamlined methodology not only enhances the coverage and depth of observability but also minimizes the performance impact on critical application code. The result is a cost-efficient approach to observability, delivering granular visibility into Google Kubernetes Engine clusters.

"eBPF is pivotal for GKE users seeking deeper insights into their applications and infrastructure," said Shahar Azulay, CEO and Co-Founder of groundcover. "groundcover eliminates the visibility-cost tradeoff, allowing teams to achieve comprehensive observability without overspending. With Google Cloud as a partner, we're committed to maximizing observability solutions for our users at a fraction of traditional costs."

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groundcover Launches on GCP Marketplace

groundcover announced the launch of its observability platform in the Google Cloud Marketplace.

This move allows organizations utilizing Google Kubernetes Engine (GKE) to effortlessly install groundcover as a managed service, streamlining observability for their cloud-native applications.

groundcover's integration with GKE simplifies the deployment process, ensuring that clusters are secure and performant while minimizing the operational burden of installation, configuration, and ongoing updates. This launch marks a significant expansion of groundcover's cloud environment support and further solidifies its mission to revolutionize observability. By harnessing groundcover's proprietary eBPF sensor and cost-effective inCloud architecture which allows data to never leave the user's cloud, organizations can redefine how they monitor their cloud-native environments, significantly reducing costs and resource overhead with zero code changes and full-coverage, out-of-the-box.

groundcover's presence in the Google Cloud Marketplace provides GKE users with easy access to its advanced observability tools. This digital catalog of software solutions empowers millions of Google Cloud users to quickly find, evaluate, and deploy groundcover, reinforcing the platform's reliability and commitment to providing the best of breed application performance monitoring solution.

groundcover's kernel-level sensor offers comprehensive application performance monitoring without disrupting existing application code.

By leveraging eBPF, groundcover delivers a full-stack observability platform that provides immediate value without compromising on scale, granularity, or cost. Its innovative architecture collects observability data directly at the kernel level, allowing users to collect logs, metrics and traces instantly with eBPF, and store them inCloud, on their infrastructure, all managed by groundcover. This streamlined methodology not only enhances the coverage and depth of observability but also minimizes the performance impact on critical application code. The result is a cost-efficient approach to observability, delivering granular visibility into Google Kubernetes Engine clusters.

"eBPF is pivotal for GKE users seeking deeper insights into their applications and infrastructure," said Shahar Azulay, CEO and Co-Founder of groundcover. "groundcover eliminates the visibility-cost tradeoff, allowing teams to achieve comprehensive observability without overspending. With Google Cloud as a partner, we're committed to maximizing observability solutions for our users at a fraction of traditional costs."

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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 ...