groundcover
Full-stack observability platform powered by eBPF, deployed in your own cloud
Founded
2021
Starting Price
$0
Category
Monitoring & Observability
Last updated June 29, 2026
About groundcover
groundcover is a cloud-native observability platform powered by eBPF that runs entirely inside your own cloud (Bring Your Own Cloud). It collects full-fidelity logs, metrics, traces, and events with zero code instrumentation, and uses host-based pricing instead of data-ingestion pricing so observability costs stay predictable as you scale.
Pros & Cons
Pros
- Predictable host-based pricing avoids unpredictable ingestion-based bills
- Data stays in your own cloud/VPC for privacy, security, and compliance
- Zero-instrumentation eBPF sensor gives full visibility without code changes
- Full fidelity telemetry with no sampling
- Unified platform for logs, metrics, traces, APM, RUM, and AI observability
Key Features
eBPF Sensor
An adaptive eBPF sensor collects and processes telemetry at the edge across infrastructure and applications with no code changes or instrumentation.
Bring Your Own Cloud (BYOC)
Deployed inside your own VPC so all observability data stays private and secure within your environment, with no data leaving your walls.
Host-based pricing
Predictable pricing based on the monthly average of Kubernetes nodes monitored, not on data volume ingested.
Logs, metrics, traces & events
Unified collection of logs, metrics, traces, and events with full fidelity and zero sampling.
Agent Mode
An AI agent that works alongside engineers, deciding which signals to pull and queries to run, customizable with team Skills.
groundcover MCP
Model Context Protocol support to connect AI agents and tools directly to your observability data.
OpenTelemetry support
Native support for OpenTelemetry and open standards across the whole stack.
Pricing
Free
$0/month
- BYOC deployment mode
- 12 hour data retention
- Slack Community support
- No credit card required, free forever
Pro
$30
Best For
Kubernetes observability
Monitor logs, metrics, traces, and events across Kubernetes clusters without instrumenting application code.
Cost-efficient observability at scale
Replace ingestion-priced SaaS monitoring tools with predictable host-based pricing to cut observability spend.
Compliance-sensitive environments
Keep all telemetry inside your own cloud or on-prem environment to meet data residency and compliance requirements.
AI and LLM workload observability
Observe LLM calls and agent pipelines in production alongside the rest of your stack.
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