Bring Your Own Cloud Observability | groundcover BYOC
Bring Your Own Cloud (BYOC) Observability
groundcover runs inside your cloud, so every signal stays private and secure with no compromise on data, control, or cost. Fully managed, and yours to deploy in minutes.
Observability without the trade-offs
Traditional vendors force trade-offs: sampled data, egress fees, and unpredictable bills. groundcover flips the model: your full observability data plane runs in your cloud account, fully managed by us, fully controlled by you.
Observability with groundcover’s BYOC architecture
5-Minute Onboarding
Grant a scoped IAM role (AWS, GCP, or Azure). We automate the rest — no manual setup, no complex pipelines.
Isolation & Resilience
The data plane runs separately from your workloads, maintaining uptime and reliability even during production incidents. Your monitoring remains accurate and available under all circumstances.
Cloud-Optimized & Cost-Efficient
Transparent infrastructure costs, economical long-term retention, and efficient data transfer let you leverage reserved instances and storage offloads. Observability is secure, resilient, and cost-efficient.
Security, Transparency & Control
All actions are automated, scoped with least-privilege IAM roles, and fully visible. groundcover never has direct access to your environment, so you maintain full control over your observability deployment.
Local data, SaaS experience
Keep your logs, metrics, events, and traces in your cloud while accessing everything through the groundcover UI, without compromising control or security.
Production-Grade Deployment
A resilient observability data plane with automated backups, high availability, and performance tuning — separated from workloads to ensure monitoring stays up even during incidents.
Data Platform-grade architecture
Once deployed, your observability becomes:
Cardinality control & fault tolerance
Smart aggregation and replication keep queries fast and data safe.
High-performance ingestion
Handles gigabytes per second with sub-second query latency.
Top-tier compression & storage
Hot & cold tiers reduce storage costs without sacrificing speed or queryability.
Automated scaling
Scales up during spikes and down during quiet periods.
How BYOC works
Sensors at the source
eBPF sensors capture signals on Kubernetes and Linux hosts without code changes. They run out-of-band in a separate namespace, so there’s no impact on your workloads.
Smart ingestion
Real-time aggregation, compression, and cardinality management.
Data plane in your cloud
Fully queryable across logs, metrics, traces, and events.
Unified experience
Same modern UI and APIs while all your data stays under your control.
Key Benefits
Predictable costs
Pay per host, not per GB.
Compression + cold storage = lower TCO.
Full-fidelity telemetry
All logs, metrics, traces, and events with no sampling, no blind spots.
Performance at scale
Queries over millions of spans or billions of logs in seconds.
Enterprise compliance
Full control over data residency, retention, and policies.
All-in-One platform
Logs, metrics, traces, and events included with no hidden tiers or add-on costs.
How groundcover BYOC Compares to Traditional SaaS
| Feature | groundcover BYOC | Traditional SaaS |
|---|---|---|
| Data location | Stays inside your cloud | Leaves your cloud |
| Storage model | Columnar compression + hot/cold tiers | Vendor’s black box |
| Scalability | Elastic pipelines, priced on average hosts | Pay for peak, often over-provisioned |
| Compliance | Residency, sovereignty, air-gap options | Limited control |
| Fidelity | Full-fidelity data, no blind spots | Sampled to manage costs |
| Latest Features | New features and products roll out automatically as they ship | New features roll out for products you’ve purchased, but adding a new product costs extra |
| Auto-scaling for observability data | Yes | N/A since pricing is ingestion based |
| Infra auto-scaling & downscaling | Yes | N/A since pricing is ingestion based |
| Uptime SLA | Yes | Yes, tier-dependent |
| Backup and Restore | Daily backups and volume snapshots, with object-storage offload | Yes |
| RBAC | Granular RBAC at namespace, cluster, and workload levels. For example, a user could have access to logs and traces in prod only. | Yes. RBAC via tagging data. |
| SSO | Yes | Yes |
| Retention | Yes. Retention policies can be set based on cluster, log level, namespace, etc. | Yes, but limited. |
| High availability | Redundant, auto-scaling ingestion with no single point of failure | Varies by vendor and tier |
Proven in Production
groundcover BYOC powers enterprises handling petabytes of telemetry across thousands of nodes, delivering predictable costs, full fidelity, and SaaS-like simplicity.