What Teams See After Switching to groundcover
groundcover's Migration feature automates every step of your transition — from dashboards and monitors to integrations — helping teams switch from any legacy observability stack in minutes.
Datadog's pricing and setup was designed for enterprise procurement cycles. Bills scale non-linearly with data volume, costs are unpredictable, and there's no startup-friendly entry point. Meanwhile your team is small, your backlog is full, and manual instrumentation never makes the sprint.
50%
Average cost reduction vs. Datadog
10X
More data captured (no sampling)
15 min
Typical migration time
0
Lines of code changed
HOW GROUNDCOVER IS DIFFERENT
Built for the stack you're actually running.
Your cloud. Your credits.
groundcover runs inside your AWS, GCP, or Azure environment. Observability data never leaves your infrastructure — and it runs on compute you're already paying for, often using credits already in your budget.
Your observability data never leaves your cloud.
Zero code changes. Full-stack visibility.
groundcover uses eBPF to automatically instrument every service, container, and network call at the kernel level. No SDKs. No agents to maintain. No instrumentation PRs. Works on your existing services from day one.
Full-stack visibility from day one. No instrumentation PR required.
Designed for Kubernetes, GPUs, and LLM pipelines.
Pre-built dashboards for GPU utilization, inference latency, token throughput, and container metrics — out of the box. See a latency spike in your inference API before your users open a support ticket.
See a latency spike in your inference API before your users open a support ticket.
Spend your runway on GPUs. Not observability.
Starting at $30/month with transparent, predictable pricing. No enterprise procurement cycles. No surprise bills at the end of the month.
Spend your runway on GPUs. Not observability.
PRICING COMPARISON
What does observability actually cost for a 5-node AI cluster?
| groundcover | Datadog | |
|---|---|---|
| Starting price | $30 host/month | Enterprise pricing |
| Pricing model | Transparent, predictable | Volume-based, non-linear |
| Data residency | Your cloud | Datadog's SaaS |
| Instrumentation | Zero — automatic via eBPF | Manual agents + SDKs |
| GPU metrics | Included out of the box | Add-on / limited |
| Kubernetes dashboards | Pre-built, AI-native | Available, legacy-oriented |
| Setup time | ~5 minutes | Hours to days |
| Cloud credits usable | Yes | No |
WHO IT'S FOR
Whether you own the model, the API, or the cluster — you have full visibility.
ML Engineer
Debug model failures in production, not in theory.
GPU utilization, inference latency, model version tracking
Backend / DevOps Engineer
Zero instrumentation. Full visibility. On your own cloud.
Distributed tracing, no overhead, no agent maintenance
Technical Founder / CTO
Train your models. Not your finance team.
Predictable costs, BYOC, no procurement cycle
GETTING STARTED
5 minutes to your first real metric.
Connect your cloud
Link your AWS, GCP, or Azure environment
Deploy groundcover
One-click deploy, no config required
See your data
GPU metrics, Kubernetes, inference latency — live