Groundcover

Groundcover is a next-generation, full-stack observability platform purpose-built to address the limitations and exorbitant costs inherent in monitoring modern cloud-native environments, particularly those relying on Kubernetes (K8s). Traditional monitoring solutions—often legacy tools retrofitted for the cloud—demand intrusive code changes, rely on expensive data sampling, and struggle to manage the immense cardinality generated by microservices. Groundcover completely bypasses these bottlenecks by leveraging the revolutionary power of eBPF (extended Berkeley Packet Filter). Deployed as a single, lightweight sensor within the kernel space, the eBPF-driven architecture enables zero-instrumentation monitoring. This means engineering teams gain comprehensive visibility into their entire stack—from infrastructure nodes and containers right up to application traces and business metrics—without ever needing to install cumbersome SDKs, modify application code, or manually configure data collection. This fundamental shift in data capture ensures that the platform delivers 100% coverage by collecting every single relevant metric, log, and distributed trace in real time, eliminating the dangerous practice of data sampling that often masks critical, rare events. The result is an instant, complete, and contextually rich tapestry of telemetry data that is ready for analysis immediately upon deployment, drastically reducing time-to-value for development and operations teams. By tapping into the Linux kernel itself, Groundcover provides an unprecedented level of granular insight into application behavior and resource utilization, securing its position as a truly cloud-native and future-proof solution that simplifies the complex task of managing distributed systems at scale. Body: Unprecedented Cost Control and Data Ownership via BYOC Beyond its technological superiority in data collection, Groundcover’s architectural model fundamentally disrupts the economic paradigm of the observability market through its unique Bring-Your-Own-Cloud (BYOC) approach. Historically, observability vendors operated on a SaaS model, forcing customers to stream massive volumes of proprietary data (metrics, logs, traces) outside of their environment and into the vendor's cloud, leading to two severe pain points: unpredictable and escalating ingestion costs, and critical data residency and security concerns. Groundcover’s BYOC architecture resolves both by separating the control plane, which it manages, from the data plane, which resides entirely within the customer’s own Virtual Private Cloud (VPC). This self-hosting model guarantees full data ownership and data residency compliance, as sensitive telemetry data never leaves the customer’s security perimeter. Crucially, this model decouples cost from data volume. Instead of being billed per ingested gigabyte or metric cardinality—the chief driver of runaway monitoring budgets—Groundcover offers a simple, predictable, and fair host-based pricing model. Whether a team generates a billion logs or a trillion metrics, the price remains consistent, tied only to the number of monitored Kubernetes nodes or hosts. This financial predictability allows Site Reliability Engineers (SREs) and DevOps leaders to operate with complete freedom, ending the costly, trade-off-laden decisions about which data to keep, which to sample, or which to discard. The platform unifies Infrastructure Monitoring, Application Performance Monitoring (APM), and Log Management into a single, cohesive view, enabling instant correlation of all signals. This comprehensive, interconnected visibility accelerates troubleshooting, shortens the Mean Time To Resolution (MTTR), and provides the deep operational context necessary to efficiently manage and optimize performance across large-scale, dynamic microservice architectures. Conclusion: Driving Engineering Velocity and Operational Confidence In the high-stakes world of cloud-native development, Groundcover serves as the essential foundation for operational confidence. It shatters the industry compromise that traditionally forced engineering teams to choose between having complete visibility, controlling costs, or maintaining data security. By coupling the low-overhead, zero-instrumentation data capture capabilities of eBPF with the revolutionary cost-control and security benefits of its BYOC architecture, Groundcover offers a solution that is demonstrably superior to conventional tools. It empowers engineers to instantly uncover and resolve complex issues—from infrastructure bottlenecks to subtle application performance degradations—with contextually correlated data. For technical leadership, the platform translates into predictable budgets, robust security posture, and a massive boost in engineering velocity by freeing teams from the maintenance burden of manually managing data pipelines and instrumentation. Groundcover is not merely a replacement for legacy monitoring; it is a fundamental reboot of the cloud observability model, delivering the whole truth about system health, at any scale, without the financial or technical friction that stalls innovation. It is the observability platform that finally allows teams to monitor everything, pay for hosts, and focus their resources entirely on building better products.

The primary distinction lies in its zero-instrumentation data collection model, powered by eBPF (extended Berkeley Packet Filter). Unlike competitors that force engineers to integrate cumbersome SDKs, modify application code, or deploy heavy sidecar agents—a process that introduces overhead, demands continuous maintenance, and often leads to the compromise of data sampling—Groundcover installs a single, lightweight eBPF sensor directly into the Linux kernel space. This unique position allows the platform to automatically harvest 100% of all relevant telemetry, including metrics, logs, and traces, without requiring a single line of application code change. This comprehensive, non-intrusive approach eliminates the "blind spots" created by sampling and manual configuration, ensuring complete visibility and drastically reducing the operational burden on engineering teams. The second, equally disruptive differentiator is Groundcover's Bring-Your-Own-Cloud (BYOC) architecture. Traditional observability vendors operate on a pure Software-as-a-Service (SaaS) model, compelling customers to stream massive volumes of operational data out of their secure environments and into the vendor's cloud. This practice creates critical challenges related to data residency, security compliance, and, most pressingly, runaway egress costs. Groundcover reverses this paradigm: while the control plane is managed by the vendor, the entire data plane—where all telemetry is stored, indexed, and processed—resides securely within the customer’s own Virtual Private Cloud (VPC). This guarantees full data ownership and data residency compliance, providing a level of security and privacy that pure SaaS models simply cannot match.

• Small Businesses (1-99)
• Mid Market (100-500)
• Enterprise (500+)