groundcover provides a Kubernetes application monitoring solution that utilizes eBPF technology to collect logs, metrics, and traces without requiring code changes. This approach enables organizations to achieve full-stack observability while maintaining data privacy and reducing operational costs.
Funding
$26.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Existing cloud monitoring solutions often require code changes and can be expensive due to volume-based pricing, making it difficult for organizations to achieve full-stack observability without compromising cost, granularity, or scale. Legacy solutions also struggle to provide comprehensive visibility into complex Kubernetes environments with numerous microservices.
Solution
groundcover offers a Kubernetes application monitoring solution that leverages eBPF technology to collect logs, metrics, and traces directly from the Linux kernel, eliminating the need for code changes or system restarts. This approach provides instant, out-of-the-box insights into application behavior, performance, and security across the entire Kubernetes stack. groundcover's inCloud architecture ensures data privacy and security by storing data within the user's cloud environment, while its transparent per-node pricing model enables predictable cost management and avoids unexpected spikes. The platform's unified interface allows users to monitor everything from infrastructure to application, troubleshoot issues, and improve performance with Kubernetes context and granular data.
Target Audience
groundcover is designed for DevOps engineers, SREs, platform engineers, and CTOs/VPs of R&D who need comprehensive observability for their Kubernetes environments without the complexity and cost of traditional monitoring solutions.
Features
- eBPF-based sensor for zero-code instrumentation and full coverage of the Kubernetes stack
- In-cluster architecture for data privacy, security, and control
- Flat, predictable per-node pricing for cost-effective monitoring
- Automatic collection of logs, metrics, traces, and Kubernetes events
- Integration with OpenTelemetry and Prometheus for streaming data from various sources
- Grafana integration for enriching dashboards with out-of-the-box metrics
- CLI tool for smooth and easy installation
- Unified interface for monitoring infrastructure and applications