xScaler Docs

Learn how to send, store, and query metrics, logs, and traces on xScaler, a fully managed, OpenTelemetry-native observability backend.

Fully managedMulti-signalOpenTelemetry-nativeMulti-tenant

Start sending data

Point any OpenTelemetry-compatible source at xScaler. No proprietary agent to install.

Send Metrics

Prometheus-compatible metrics ingestion.

Prometheus→Grafana Alloy→OTel Collector→Python SDK→

View all options →

Send Logs

Structured and unstructured log collection.

Grafana Alloy→OTel Collector→Python SDK→Node.js SDK→

View all options →

Send Traces

Distributed tracing across your services.

OTel Collector→Grafana Alloy→Python SDK→Go SDK→

View all options →

Monitor your infrastructure

Connect ready-made integrations for your infrastructure, databases, and cloud services.

Infrastructure

Hosts, containers, and orchestrators.

Linux→Kubernetes→Docker→NGINX→

View all options →

Databases

Track query performance and health.

PostgreSQL→MySQL→Redis→MongoDB→

View all options →

Cloud

Pull metrics from your cloud providers.

AWS CloudWatch→Google Cloud→Azure Monitor→Cloudflare→

View all options →

Popular integrations

Redis PostgreSQL NGINX MongoDB ClickHouse Kubernetes

Browse all 100+ integrations →

What is xScaler?

xScaler is a drop-in backend for any OpenTelemetry-compatible stack. You push telemetry from your existing Prometheus, Grafana Alloy, OpenTelemetry Collector, or OTel SDKs. xScaler handles ingestion, storage, and querying at scale across all three signals. You query it back with PromQL (metrics), LogQL (logs), and TraceQL (traces) from Grafana or any compatible tool.

Click any box to open its docs. Agents (OpenTelemetry Collector, OTel SDK, or Grafana Alloy) — optionally OpAMP-managed by Fleet Management — ship metrics, logs, and traces into xScaler, queried back out with PromQL, LogQL, and TraceQL through Grafana, Jaeger, or xScaler Insight.