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.