groundcover Review 2026

eBPF-based Kubernetes observability platform with an AI incident copilot — full metrics, logs, and traces at a fixed monthly price, no per-GB surprise bills.

groundcover is a cloud-native observability platform that uses eBPF to auto-instrument every service, pod, and network connection in a Kubernetes cluster without changing application code or installing sidecars. The catch that most platforms hide — that data volume determines your bill — groundcover fixes with a BYOC architecture: the storage engine runs inside the customer's own cloud account, so telemetry never leaves the perimeter and pricing is a flat fee based on infrastructure size rather than ingested GB. On top of the raw metrics, logs, and traces sits Ranger, an AI investigation copilot that correlates alerts, reads dashboards, inspects code deploys, and produces a plain-English root-cause hypothesis in seconds — turning a 30-minute war-room dig into a two-minute pull request. Ranger can be queried in Slack, in the groundcover UI, or via MCP from any agent host, and it grounds every claim with links to the underlying spans and log lines. groundcover also ships prebuilt dashboards for major Kubernetes stacks (Postgres, Kafka, Redis, MongoDB, Nginx, Istio) and integrates with PagerDuty, Slack, Jira, and OpenTelemetry pipelines. Startups adopting Kubernetes love the predictable pricing; larger platform teams value the eBPF depth (down to individual syscalls) and the reduction in Datadog spend. Free trial available; production plans priced per cluster with SSO and enterprise support at higher tiers.