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groundcover Integrates with OpenTelemetry

groundcover announced a deep integration with the popular open source project OpenTelemetry.

By combining groundcover's eBPF-driven context with OpenTelemetry's distributed tracing, DevOps and platform teams gain deeper insights into performance, user behavior, and errors across the stack.

"We firmly believe in the value of OpenTelemetry and the way it empowers organizations to generate, process, and flexibly collect and route traces in a standardized way," said Orr Benjamin, VP of Product at groundcover. "But it requires expertise and manual instrumentation that often leaves blind areas if not done 100% properly. eBPF solves that by providing automatic kernel-level instrumentation and deep information like the full payload of captured traces and relevant correlations to the infrastructure layer. Now engineers can have both the power of OpenTelemetry's distributed tracing and the deep instant coverage of eBPF in a single UX."

groundcover utilizes eBPF to provide deep observability into cloud-based architectures, using it to trace any type of event, from network and infrastructure, all the way to services and applications running in the user space. Using eBPF to collect observability data straight from the Linux kernel provides super-granular visibility into what's really happening inside modern applications.

By supporting OpenTelemetry, groundcover is embracing a more democratic approach to observability data that helps companies avoid vendor lock-in and to collect data in a standardized way. Unlike other observability vendors that require users to install and maintain a proprietary agent, groundcover works with OpenTelemetry out of the box, providing users with a single, seamless experience.

With this integration, an engineer can trace which services have spoken to one another with distributed tracing, and then leverage the power of eBPF to unlock new intelligence such as the user ID associated with the request, what device they used, and any associated error messages. In the past, this flow would require two sets of tools and dashboards, which have now been consolidated within groundcover's UI.

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groundcover Integrates with OpenTelemetry

groundcover announced a deep integration with the popular open source project OpenTelemetry.

By combining groundcover's eBPF-driven context with OpenTelemetry's distributed tracing, DevOps and platform teams gain deeper insights into performance, user behavior, and errors across the stack.

"We firmly believe in the value of OpenTelemetry and the way it empowers organizations to generate, process, and flexibly collect and route traces in a standardized way," said Orr Benjamin, VP of Product at groundcover. "But it requires expertise and manual instrumentation that often leaves blind areas if not done 100% properly. eBPF solves that by providing automatic kernel-level instrumentation and deep information like the full payload of captured traces and relevant correlations to the infrastructure layer. Now engineers can have both the power of OpenTelemetry's distributed tracing and the deep instant coverage of eBPF in a single UX."

groundcover utilizes eBPF to provide deep observability into cloud-based architectures, using it to trace any type of event, from network and infrastructure, all the way to services and applications running in the user space. Using eBPF to collect observability data straight from the Linux kernel provides super-granular visibility into what's really happening inside modern applications.

By supporting OpenTelemetry, groundcover is embracing a more democratic approach to observability data that helps companies avoid vendor lock-in and to collect data in a standardized way. Unlike other observability vendors that require users to install and maintain a proprietary agent, groundcover works with OpenTelemetry out of the box, providing users with a single, seamless experience.

With this integration, an engineer can trace which services have spoken to one another with distributed tracing, and then leverage the power of eBPF to unlock new intelligence such as the user ID associated with the request, what device they used, and any associated error messages. In the past, this flow would require two sets of tools and dashboards, which have now been consolidated within groundcover's UI.

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...