One query.
Every signal.Una consulta.
Cada señal.

The platform, end to end.La plataforma, de punta a punta.

One workspace for every signal: explore, map, trace, alert and automate. Click through the views.Un solo espacio para cada señal: explorar, mapear, trazar, alertar y automatizar. Recorré las vistas.

TopologyTopología ExploreExplorar QueryConsulta MetricsMétricas TracesTrazas SessionsSesiones AlertsAlertas Pipelines WorkflowsFlujos FleetFlota

Every signal. One place.Cada señal. Un solo lugar.

Logs, traces, metrics and RUM, searched with one language and correlated on one map. No four separate tools, no context-switching.Logs, trazas, métricas y RUM, con un solo lenguaje y correlacionados en un solo mapa. Sin cuatro herramientas separadas, sin cambiar de contexto.

One language. Ask once.Un lenguaje. Preguntá una vez.

A piped query language across every signal: logs, traces, metrics, topology and alerts. The visual builder writes it, autocomplete fills it in, and join / lookup / traverse correlate across services. A few real ones:Un lenguaje piped para cada señal: logs, trazas, métricas, topología y alertas. El builder visual lo escribe, el autocompletado lo completa, y join / lookup / traverse correlacionan entre servicios. Algunas reales:

# error rate per service
get spans, from: -1h
| filter status_code = "ERROR"
| summarize errs = count(), by: {service.name}
| join [
    get spans, from: -1h
    | summarize total = count(), by: {service.name}
  ], on: service.name, fields: {total}
| fieldsAdd rate = round(errs / total * 100)
| sort rate desc | limit 10

# who calls whom, and how hot
get tpl.deps, from: -24h
| summarize calls = sum(call_count),
            errors = sum(error_count),
            by: {caller, callee}
| filter calls > 100
| sort calls desc

# pull status out of raw log lines
get logs, from: -1h
| filter service.name = "nginx"
| parse body, "IPADDR:client LD WORD:method LD INT:status LD"
| filter status startsWith "5"
| summarize count(), by: {status}
| sort status asc

# which detectors fired most
get ai.events, from: -12h
| summarize anomalies = count(), by: {detector}
| sort anomalies desc

# error volume over time
get logs, from: -6h
| makeTimeseries count(), by: {loglevel}, interval: 10m

Ingest anything. Route it your way.Ingerí lo que sea. Enrutá a tu manera.

OpenTelemetry in, plus the other OpenTelemetry Collector receivers. Versioned config (preview, activate, rollback) with OTTL routing rules, self-service.OpenTelemetry de entrada, más los demás receivers del OpenTelemetry Collector. Configuración versionada (preview, activar, rollback) con reglas de ruteo OTTL, self-service.

Everything from ingest to incident.Todo, desde la ingesta hasta el incidente.

One platform, one bill. Every piece below is included, no add-ons.Una plataforma, una factura. Todo lo de abajo está incluido, sin add-ons.

Pipelines, or the whole platform.Pipelines, o toda la plataforma.

Start with just the pipeline, or run the full platform. Same OpenTelemetry, same fleet, your call.Empezá solo con el pipeline, o usá la plataforma completa. El mismo OpenTelemetry, la misma flota, vos decidís.

From zero to your stack, in minutes.De cero a tu stack, en minutos.

No SDK rewrite, no agent rollout. Point your OpenTelemetry Collector at one endpoint and your telemetry shows up — searchable, mapped and alertable.Sin reescribir SDKs, sin desplegar un agente. Apuntá tu OpenTelemetry Collector a un endpoint y tu telemetría aparece — buscable, mapeada y con alertas.

# send any signal to RCX over OTLP
exporters:
  otlp/rcx:
    endpoint: otlp.rocketcloud.io:4317
    headers:
      Api-Token: rcx0t01.•••.•••
      X-Tenant-ID: your-tenant
service:
  pipelines:
    logs:    { exporters: [otlp/rcx] }
    traces:  { exporters: [otlp/rcx] }
    metrics: { exporters: [otlp/rcx] }

Questions, answered.Preguntas, respondidas.