A Kubernetes-native observability platform that runs entirely in your cluster. eBPF traces, network flows, synthetic probes, load tests, ClickHouse storage, AI anomaly reports — one Helm command.
Real data. Real eBPF. Free to explore — no account needed.
Project-centric observability
Your product.
Not a list of pods.
Map namespaces to environments. Group services by team. See your whole product in one view — with health, latency, and error rates across every environment at a glance.
The bill that never stops growing.
Anomalies explained in plain English.
EWMA baseline analysis runs continuously. When something deviates, AI writes a human-readable incident summary with a direct drilldown link.
Zero config. Full signal.
01 — Zero code changes
eBPF discovers your services. You do nothing.
02 — Three signals. One platform.
Logs → Traces → Metrics.
Correlated at the data layer.
03 — Your cluster. Your data.
Zero bytes leave your cluster.
External calls from Sovix: 1 (license heartbeat only)
Telemetry sent to Sovix: 0 bytes
GDPR compliant. Air-gap supported.
04 — Get started
10 minutes to full observability.
helm upgrade --install observe-runtime oci://ghcr.io/shashank2577/charts/observe-runtime \
--namespace observability --create-namespace \
--set license.token=<YOUR_LICENSE_TOKEN> \
--wait --timeout 10m
← Scroll to explore →
Everything. Out of the box.
The full observability stack, deployed in a single Helm command — no assembly required.
eBPF Auto-Instrumentation
Beyla attaches to running processes via eBPF and generates real distributed traces — zero code changes, zero SDKs, zero restarts. Works on any kernel 5.8+ (standard since Ubuntu 22.04).
Zero code changesPre-built K8s Dashboards
Log in and you'll see cluster health, node utilization, pod restart counts, and service latency percentiles — all populated from real data. Not a blank canvas.
Ready in 0 secondsClickHouse Storage
Columnar database built for analytical workloads. A billion log lines fits in ~50 GB. Queries that take 10s in Loki run in under 200ms. No per-GB charges — log everything.
50× cheaper at scaleCorrelated Signals
Click a metric spike → jump to failing traces. Click a span → see the logs it emitted. Click a log line → find its parent trace. Three pillars wired together at the data layer.
Predictable Cost
Priced per node — not per GB ingested, per seat, or per data point stored. A 100-node cluster at $799/month is $9,600/year. Datadog's equivalent: $259,200/year.
No surprise billsAI Reports
EWMA baseline analysis runs continuously. AI writes a human-readable summary for every deviation — severity-rated, timestamped, with a direct drilldown link.
Anomalies in plain EnglishNetwork, Synthetics & Load
Retina eBPF surfaces every packet — flows, drops, TCP states, DNS — with no sidecar. Blackbox probes watch your endpoints from inside the cluster. k6 runs scheduled load tests and writes results back into the same dashboards.
eBPF + probes + k6, bundledData Sovereignty
Your telemetry never leaves your cluster. No SaaS dependency, no egress fees, no vendor access to your data. GDPR and SOC2 friendly from day one. Air-gap deployments fully supported.
Teams deploying Sovix right now
Join hundreds of engineering teams who've made the switch.
- 🇩🇪team got an AI report: checkout-service latency spike detected2 min ago
- 🇺🇸team mapped 3 namespaces to dev/staging/prod environments5 min ago
- 🇸🇬team saved $18,000/month switching from Datadog8 min ago
- 🇯🇵SRE team migrated from Datadog in under 1 hour15 min ago
Automatic. End-to-end. No config hell.
Beyla eBPF instruments your pods at the kernel level — no SDK, no restart, no coordination with dev teams.
The honest comparison.
Every alternative has a trade-off. Here's ours — and theirs.
| Feature | Sovix | Datadog | Grafana OSS | SigNoz |
|---|---|---|---|---|
| Self-hosted | ✓ | ✗ | ✓ | ✓ |
| eBPF auto-instrumentation | ✓ | ✓ | ✗ | ✗ |
| Single Helm install | ✓ | ✗ | ✗ | ✓ |
| Flat per-node pricing | ✓ | ✗ | ✓ | ✓ |
| Correlated logs + traces + metrics | ✓ | ✓ | Partial | ✓ |
| Data stays in your cluster | ✓ | ✗ | ✓ | ✓ |
| Project / environment view | ✓ | ✗ | ✗ | ✗ |
| Built-in AI reports | ✓ | $$$$ | ✗ | ✗ |
| Zero-config anomaly detection | ✓ | Partial | ✗ | ✗ |
One number. No surprises.
Priced per node — you already know how many nodes you have. No per-GB log fees. No per-seat charges. No overages.
Community
Up to 5 nodes · Free forever
- ✓ Metrics, logs, traces
- ✓ eBPF auto-instrumentation
- ✓ Pre-built K8s dashboards
- ✓ ClickHouse + VictoriaMetrics
- ✓ Service dependency map
- ✓ Community support
Startup
Up to 20 nodes
- ✓ Everything in Community
- ✓ 1-year log retention
- ✓ Alerting rules engine
- ✓ Slack / Teams / PagerDuty
- ✓ RBAC
- ✓ Email support
Growth
Up to 100 nodes
- ✓ Everything in Startup
- ✓ Multi-cluster UI
- ✓ SSO / Azure AD
- ✓ AI anomaly reports
- ✓ Project views & environment mapping
- ✓ SLO / Error Budget tracking
- ✓ Slack support, 4hr response
Enterprise
Unlimited nodes
- ✓ Everything in Growth
- ✓ Air-gap / offline deployment
- ✓ Dedicated support engineer
- ✓ SLA guarantee
- ✓ SOC2 documentation package
- ✓ White-label / reseller
A 100-node Datadog deployment costs $259,200/year.
Sovix Growth: $9,588/year. Same signals. Your data. Your cluster. No surprises.
THE ENTIRE INSTALL
That's it.
--namespace observability --create-namespace \
--set license.token=<YOUR_LICENSE_TOKEN> --wait --timeout 10m
10 minutes. 47 services discovered. 0 code changes. Click to copy.