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Groundcover

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Monitor cloud and on-prem environments with full data, lower costs, and complete control.

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TL;DR - Groundcover

  • Comprehensive observability for cloud and on-prem using eBPF.
  • BYOC architecture for lower costs, data privacy, and full control.
  • Flat, predictable pricing based on hosts, not data ingestion.
Pricing: Free plan available
Best for: Growing teams
4.7/5 across review platforms

Pros & Cons

Pros

  • Significantly lower total cost of ownership due to BYOC architecture and host-based pricing.
  • Full data fidelity with no sampling or rate limiting.
  • Enhanced data privacy, security, and residency by keeping data within user's VPC.
  • Zero instrumentation and easy deployment with eBPF.
  • Comprehensive visibility across infrastructure, applications, and LLMs.

Cons

  • Requires managing infrastructure within your own VPC for the observability solution.
  • May have a learning curve for users unfamiliar with BYOC or eBPF concepts.

Ratings Across the Web

4.7(57 reviews)

Ratings aggregated from independent review platforms. Learn more

Preview

Key Features

Infrastructure MonitoringLog ManagementApplication Performance Monitoring (APM)Real User MonitoringLLM ObservabilityeBPF-powered sensor for zero instrumentationKubernetes MonitoringCustom visualizations & alerts (Grafana/PromQL)

Pricing Plans

Free Trial

Free

$0

  • 12 hour data retention
  • Slack Community support
  • No credit card required, free forever

Pro

$30 Per host, per month

  • All available integrations and data sources
  • SSO support
  • Standard data retention
  • Standard support

Enterprise

$35 Per host, per month

  • Everything in Pro plan, plus:
  • RBAC support
  • Unlimited data retention
  • Premium support
  • Standard support

On Premise

$50 Per host, per month

  • Everything in Enterprise plan, plus:
  • Self-hosted data plane
  • Self-hosted UI
  • Isolated authentication

What is Groundcover?

Editorial review
Groundcover is an observability platform designed for cloud-native and on-premise environments, offering comprehensive monitoring capabilities for infrastructure, applications, and even LLM-powered applications. It aims to provide 10x more data at a fraction of the cost compared to traditional SaaS solutions by leveraging a Bring Your Own Cloud (BYOC) architecture. This means all observability data is processed and stored within the user's Virtual Private Cloud (VPC), ensuring data privacy, security, and residency. The platform utilizes eBPF-powered sensors for instant, zero-instrumentation deployment, collecting enriched telemetry across the entire stack without requiring code changes. It integrates logs, traces, and metrics automatically, providing complete visibility and context for engineers. Groundcover targets teams that require full data fidelity, predictable flat pricing based on hosts rather than data ingestion, and the flexibility to run their observability solution anywhere, from major cloud providers to regulated environments and on-prem data centers.

Reviews

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Groundcover FAQ

What is Groundcover?

Groundcover is an observability platform that provides comprehensive monitoring for cloud and on-premise environments, including infrastructure, applications, and LLMs. It uses an eBPF-powered sensor and a BYOC (Bring Your Own Cloud) architecture to offer full data visibility, lower costs, and enhanced data control within your own VPC.

How much does Groundcover cost?

Groundcover uses a flat, predictable pricing model based on the number of monitored hosts, not data ingestion volume or user count. The cost is calculated based on the average number of hosts monitored over the past month. Specific pricing details require contacting sales or using the free trial.

Is Groundcover free?

Groundcover offers a free trial and a playground environment to get started, but it is a paid product with no free tier for ongoing usage. Custom billing plans are available upon request.

Who is Groundcover for?

Groundcover is for engineering and DevOps teams that need comprehensive observability for their cloud-native or on-premise environments. It's particularly suited for organizations that prioritize data control, cost efficiency, full data fidelity without sampling, and easy deployment without code changes, especially those running Kubernetes or LLM-powered applications.