Managed Observability Backend for Metrics, Logs, and Traces
xScaler Labs gives engineering teams a managed backend for telemetry ingestion, storage, retention, and query access without taking away the Prometheus, OpenTelemetry, and Grafana workflows they already use.
The backend is where observability gets expensive
Instrumentation and dashboards are only part of the system. As telemetry grows, teams still need a backend that can ingest high-cardinality metrics, retain logs and traces, serve queries, and stay reliable during workload spikes.
What xScaler handles
xScaler focuses on the managed backend layer so teams can keep their current tools while reducing the operational burden of storage, scaling, compaction, retention, and query access.
- Prometheus-compatible metrics ingestion and query workflows
- OpenTelemetry-friendly telemetry ingestion
- Managed retention and backend operations
- Grafana-compatible query paths for existing dashboards
Backend options at a glance
| Option | Best fit | Tradeoff |
|---|---|---|
| xScaler Labs | Teams that want managed backend scale with existing telemetry tools | Focused backend platform rather than a broad all-in-one APM suite |
| Self-hosted backend | Teams with strong platform capacity and custom requirements | More operational ownership and on-call burden |
| General APM suite | Teams that want one vendor for broad monitoring workflows | Can be more expensive or less flexible for backend-heavy telemetry volume |
Common use cases
Keep Grafana dashboards while changing the backend economics.
Send Prometheus remote write data to a managed backend.
Store and query OpenTelemetry data without building another platform tier.
FAQ
What is an observability backend?
An observability backend receives telemetry, stores it, applies retention, and serves query access for tools such as Prometheus, OpenTelemetry, and Grafana.
Do I need to replace Grafana?
No. xScaler is positioned around the backend layer, so teams can keep Grafana-style workflows where they already fit.
Can I keep Prometheus and OpenTelemetry?
Yes. xScaler is built for teams already using Prometheus-compatible metrics and OpenTelemetry-based telemetry, so you can keep those workflows while moving backend operations to a managed service.
How is this different from running the backend myself?
The main difference is operational ownership. xScaler handles backend operations so internal teams spend less time on scaling, retention, and storage management.
Use your observability data without owning the backend
Start free or estimate your current telemetry cost to see where a managed backend can reduce operational overhead.