Groundcover is a Kubernetes observability platform using eBPF to deliver full telemetry coverage with predictable pricing and AI insights.
Groundcover brings eBPF-powered observability to Kubernetes: its sensors capture metrics, logs, and traces automatically without code changes or sampling. All data stays in your own cloud account by default, which addresses data-privacy concerns while keeping costs predictable through flat pricing. AI features assist with incident investigation, highlighting anomalies and correlated signals across the cluster. Platform teams adopt Groundcover for full visibility at a fraction of APM costs, especially in data-sensitive environments.
Groundcover’s eBPF approach is quietly radical: sensors capture metrics, logs, and traces automatically from Kubernetes nodes — no code changes, no sampling — while data stays in the customer’s own cloud account. Flat pricing by cluster size eliminates the per-gigabyte anxiety that governs every logging decision elsewhere, and the AI investigation tools highlight correlated signals when incidents strike. Setup time is measured in minutes from Helm install to visibility. For platform teams in data-sensitive industries, in-account storage answers compliance questions that SaaS observability cannot. Coverage concentrates on Kubernetes, so traditional server estates need supplements. But for cloud-native organizations paying Datadog-scale bills, Groundcover’s economics and privacy model make a compelling case to switch.
Groundcover offers a free trial and flat subscription pricing based on cluster size rather than data volume, which is its headline differentiator. Enterprise plans add support, security features, and multi-cluster management.
It is built for platform, DevOps, and SRE teams running Kubernetes who want full telemetry without per-gigabyte bills. It is especially appealing to organizations with strict data-residency and privacy requirements.
Groundcover provides a free trial and a free tier for small clusters, letting teams experience eBPF-based monitoring at no cost. Paid plans scale predictably with cluster size rather than data volume.
Yes. Groundcover exposes APIs for querying observability data and configuring monitoring, and its eBPF collection integrates with standard Kubernetes tooling and OpenTelemetry pipelines.
Compared with Datadog, Groundcover’s flat pricing and in-account storage drastically cut costs for Kubernetes monitoring. Versus self-hosted Prometheus, it delivers managed UX and AI insights without operating the stack yourself.
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