Groundcover

Groundcover: eBPF-Powered Observability with AI Investigation

Groundcover is a cloud-native observability platform that uses eBPF technology to collect telemetry data without any code instrumentation. By deploying at the kernel level, it captures metrics, logs, and traces across all services automatically — no SDKs, no agents, no code changes required.

AI-Native Incident Investigation

Groundcover's AI capabilities go beyond simple alerting. The platform includes an AI analyst mode (BYOC — Bring Your Own Cloud) that runs AI inference within the customer's own cloud environment, keeping sensitive telemetry data private while still providing intelligent root cause analysis.

Key Features

• Zero-instrumentation telemetry: eBPF-based collection of metrics, logs, and distributed traces
• AI incident investigation: Natural language queries across all telemetry
• BYOC AI mode: AI processing in your own cloud for data privacy
• Kubernetes-native: Deep Kubernetes context in every alert and dashboard
• Datadog migration: Automated tooling to migrate from Datadog at lower cost
• Unified platform: Replaces separate tools for metrics, logs, traces, and APM

Who Uses Groundcover?

Groundcover is popular with cloud-native startups and scale-ups running Kubernetes who want full-stack observability without the complexity and cost of traditional APM tools. Teams migrating from Datadog often choose Groundcover for its cost efficiency and simplified setup.

Pricing

Groundcover offers a free tier for small teams and usage-based pricing for larger deployments, significantly undercutting traditional APM pricing models.