caretta
Caretta is an open-source Kubernetes observability tool that uses eBPF (extended Berkeley Packet Filter) to automatically map service dependencies and network interactions in a cluster, then visualizes them in Grafana. It installs via Helm chart and requires minimal system overhead without modifying the cluster.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | groundcover-com/caretta |
| Owner | groundcover-com |
| Primary language | Go |
| License | Apache-2.0 — OSI-approved |
| Stars | 2k |
| Forks | 81 |
| Open issues | 18 |
| Latest release | Unknown |
| Last updated | 2025-03-17 |
| Source | https://github.com/groundcover-com/caretta |
What caretta is
Caretta deploys an eBPF agent that captures kernel-level network socket data across Kubernetes nodes, resolves connections to K8s entities (Pods, Deployments, Services), and publishes metrics via Victoria Metrics in Prometheus format. The primary metric `caretta_links_observed` includes rich labeling (client/server name, namespace, kind, port, role, bytes) for flexible querying and visualization.
Get the caretta source
Clone the repository and explore it locally.
git clone https://github.com/groundcover-com/caretta.gitcd caretta# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Verify Linux kernel version >= 4.16 and CO-RE support on target distribution before deployment; test on representative cluster first.
- Configure node tolerations correctly to ensure eBPF agent runs on all nodes, especially control-plane, via Helm values.
- Enable persistent volume for Victoria Metrics if long-term metrics retention is required; default configuration does not persist.
- Adjust `pollIntervalSeconds` (default 5) and `traverseUpHierarchy` based on cluster size and label resolution needs.
- Plan Grafana access strategy (port-forwarding vs. ingress) and credential rotation (default admin:caretta should be changed).
When to avoid it — and what to weigh
- Legacy or Non-Linux Kernel Environments — Requires Linux kernel >= 4.16 with CO-RE support; Docker for Mac and unsupported distributions are explicitly not compatible.
- Real-time, Sub-second Latency Requirements — Default polling interval is 5 seconds; configurable but not designed for high-frequency, ultra-low-latency event correlation.
- Existing Observability Stack Integration Without Adaptation — Ships its own Grafana and Victoria Metrics instances; integrating with external Prometheus or observability stacks requires disabling defaults and custom configuration.
- Production-Critical Workloads Without Testing — eBPF kernel agent may interact unexpectedly with specialized or uncommon network drivers; pilot in non-critical environments first.
License & commercial use
Licensed under Apache License 2.0, an OSI-approved permissive license permitting commercial use, modification, and distribution under the same terms.
Apache-2.0 explicitly permits commercial use. No proprietary restrictions identified in the repository. However, the project is maintained by groundcover.com (a commercial entity); verify there are no undocumented commercial dependencies, support tiers, or future licensing changes before committing to production use.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Good |
| Assessment confidence | High |
Caretta deploys eBPF agents on all nodes with elevated privileges to capture kernel-level network data. Consider: (1) eBPF kernel code auditing and vendor reputation (groundcover.com); (2) default Grafana credentials (`admin:caretta`) must be changed; (3) no explicit RBAC or network policy templates provided; (4) data captured includes all network flows (including external and internal secrets in traffic); (5) exposed Victoria Metrics endpoint should be network-restricted. No security audit or CVE disclosure process referenced.
Alternatives to consider
Cilium Hubble
Similar eBPF-based network observability; tightly integrated with Cilium CNI; better for users already running Cilium or needing network policy enforcement.
Istio + Kiali
Service mesh with native observability; richer telemetry (traces, latency, errors) but higher overhead; requires sidecar injection and mesh adoption.
Prometheus + node-exporter + Grafana
Generic observability stack; no automatic service discovery; requires manual instrumentation or third-party service discovery tools; lower barrier to entry for simpler setups.
Build on caretta with DEV.co software developers
Caretta is production-ready for dependency discovery and network troubleshooting. Validate kernel/CO-RE compatibility and pilot in a non-critical cluster first. Reach out to the groundcover Slack community for deployment support.
Talk to DEV.coRelated on DEV.co
Explore the category and the services that help you build with it.
caretta FAQ
Does Caretta modify my cluster or require sidecar injection?
Can I use Caretta with my existing Prometheus/Grafana setup?
What Linux distributions are supported?
How much overhead does Caretta add to my cluster?
Software development & web development with DEV.co
From first prototype to production, DEV.co delivers software development services around tools like caretta. Our software development agency staffs experienced software developers and web developers for custom software development, web development, integrations, and ongoing support across open-source observability and beyond.
Ready to Visualize Your Kubernetes Dependencies?
Caretta is production-ready for dependency discovery and network troubleshooting. Validate kernel/CO-RE compatibility and pilot in a non-critical cluster first. Reach out to the groundcover Slack community for deployment support.