Logs, traces, metrics and RUM in one platform, so you find what's breaking, and what it's taking down, fast.Logs, trazas, métricas y RUM en una sola plataforma, para encontrar qué se rompe, y qué se lleva puesto, rápido.
Point your OpenTelemetry Collector at OneGlass and watch your whole stack light up: the service map, the errors, the blast radius. No per-host fee. No proprietary agent.Apuntá tu OpenTelemetry Collector a OneGlass y mirá cómo se enciende todo tu stack: el mapa de servicios, los errores, el radio de impacto. Sin costo por host. Sin agente propietario.
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.
Logs, traces, metrics and RUM, searched with one language and correlated on one map. No separate tools, no context-switching.Logs, trazas, métricas y RUM, con un solo lenguaje y correlacionados en un solo mapa. Sin herramientas separadas, sin cambiar de contexto.
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
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.
One platform, one bill. Every piece below is included.Una plataforma, una factura. Todo lo de abajo está incluido.
One piped query language across every signal — logs, traces, metrics, topology and alerts. A visual builder writes it, autocomplete fills it in, and join / lookup / traverse correlate across services. No SQL to learn.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. Sin SQL que aprender.
Logs, traces and metrics over OTLP. An OTel Collector agent for Windows, macOS, Linux and containers.Logs, trazas y métricas vía OTLP. Un agente OTel Collector para Windows, macOS, Linux y contenedores.
Auto-discovery of hosts, Kubernetes, containers, processes and service-to-service calls, refreshed every 60s.Auto-descubrimiento de hosts, Kubernetes, contenedores, procesos y llamadas servicio-a-servicio, actualizado cada 60s.
20+ packaged detectors with adaptive hourly baselines, plus an incident lifecycle that merges and reopens.Más de 20 detectores empaquetados con baselines adaptativas por hora, más un ciclo de vida de incidentes que agrupa y reabre.
Versioned collector config (preview, activate, rollback) with OTTL routing rules, self-service per bucket.Configuración de collectors versionada (preview, activar, rollback) con reglas de ruteo OTTL, self-service por bucket.
Your collectors at a glance: status, host/OS, version and throughput, with a one-line installer.Tus collectors de un vistazo: estado, host/OS, versión y throughput, con instalador de una línea.
A visual flow with dependencies and branches, webhook ingress, and event-sourced runs you can query.Un flujo visual con dependencias y ramas, ingreso por webhook, y ejecuciones event-sourced que podés consultar.
rrweb-based replay with a timeline player, plus captured web events and errors.Repetición basada en rrweb con reproductor de línea de tiempo, más eventos y errores del navegador.
A flame-graph viewer and span table, queryable with RCXQL like every other signal.Visor flame-graph y tabla de spans, consultable con RCXQL como cualquier otra señal.
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.
Want Pipelines to a custom sink? No problem.¿Querés Pipelines hacia tu propio sink? Sin problema.
Want the full platform? Awesome.¿Querés la plataforma completa? Genial.
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 OneGlass 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] }
Point it at your real telemetry. One OTLP endpoint, and your stack shows up in RCXQL, topology and alerts.Apuntalo a tu telemetría real. Un endpoint OTLP, y tu stack aparece en RCXQL, topología y alertas.