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Groundcover

eBPF observability with bring-your-own-cloud — now adding AI-native monitoring for LLM workloads.

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About

Groundcover (Tel Aviv, founded 2021 by Shahar Azulay) is a cloud-native observability platform built on eBPF from day one: it collects logs, metrics, and traces straight from the Linux kernel with zero code instrumentation, covering Kubernetes and cloud infrastructure out of the box. Its signature move is bring-your-own-cloud — observability data stays in the customer's own cloud while remaining fully managed, which breaks the legacy pattern of being charged by data volume. After a $35M Series B in April 2025 ($60M total, led by Zeev Ventures), it raised a $100M Series C to build AI-native observability: tracking LLM reasoning paths, token usage, and response quality for agent-based workloads alongside conventional infrastructure.

The honest picture: eBPF-based collection genuinely delivers more data at lower cost than agent-instrumented rivals, and BYOC solves a real privacy/billing grievance with Datadog-style vendors. But eBPF means Linux/Kubernetes-centric — non-K8s estates get less value — and as a younger vendor its ecosystem of integrations is thinner than incumbents. The AI-observability pivot is promising but early.

What it can do

  • Zero-instrumentation eBPF collection of logs, metrics, traces
  • Bring-your-own-cloud: data stays in your infrastructure
  • Kubernetes monitoring, log monitoring, custom eBPF dashboards
  • AI-native observability: reasoning paths, token usage, response quality
  • Usage-based pricing decoupled from data volume

Setup

Deploy the Groundcover Helm chart or operator into your Kubernetes cluster; eBPF sensors start collecting immediately with no code changes. Connect your cloud account for the BYOC data plane.

Prerequisites

A Kubernetes cluster (Linux nodes with eBPF support); a Groundcover account.

Use cases

observabilitykubernetes-monitoringllm-observabilitydevops

Works with

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 58; Trending score 74/100 from researcher assessment.

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.