groundcover
Full-stack observability platform for cloud-native applications and Kubernetes environments
Recommended for
- Solo / Indie
- Idea-Stage
- Pre-Seed
- Seed
- Series A
- Scaleup
SSIE
Stage Fit Recommendations
Following data shows why groundcover is recommended for listed teams. The Fit Score represents the percentage fit of groundcover to each company stages, as calculated by the SSIE.
Stage
Fit Score
Fit Reasons
Solo / Indie
$0–$2,000 MRR
82- Free plan available (Microsoft Azure), no purchase required to start
- Delivers dashboards and monitors for logs, metrics, traces
Idea-Stage
$0
84- Self-serve signup from $30/mo, no sales call required
- Monitors Kubernetes nodes without code changes
Pre-Seed
$0–$10k MRR
91- Collects full-fidelity telemetry via eBPF sensor
- Supports OpenTelemetry and open standards natively
Seed
$10k–$100k MRR
91- Deploys inside your VPC through BYOC architecture
- Provides agent mode for goal-driven investigations
Series A
$100k–$500k MRR
87- Single sign-on with SAML and directory provisioning
- Role-based access control with admin audit logging
- Published uptime SLA and incident response commitments
- Data residency and regional hosting controls
- Automates migration from legacy observability stacks
- Observes LLM calls and agent pipelines in production
Scaleup
$500k–$2M+ MRR
77- Offers gcQL query language across all data types
- Open-source codebase, independently reviewable
groundcover is a full-stack observability platform designed for engineers and agents. It provides infrastructure monitoring, application performance monitoring, and log management capabilities. The platform includes real user monitoring, synthetic performance monitoring, and AI observability features. groundcover deploys in your cloud with a BYOC architecture using an eBPF sensor. It offers dashboards, monitors, and GCQL for querying data. The platform supports AWS, Google Cloud, Azure, and Kubernetes monitoring with connectors for integrations. groundcover breaks customary ingestion-based pricing by charging per host rather than per data volume.
Pricing
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