Managed Observability Without Running the Backend
xScaler Labs gives teams a managed path for metrics, logs, and traces so they can keep shipping telemetry without turning backend operations into another platform project.
Managed observability should remove toil
Teams adopt observability to move faster, but storage operations, scaling incidents, retention planning, and cost surprises can become another source of toil.
What a managed service should cover
xScaler is built for teams that want telemetry ingestion, retention, query access, and backend scaling handled without replacing their whole engineering workflow.
- Managed metrics, logs, and traces backend operations
- Compatibility with existing telemetry collection patterns
- Predictable pricing for growing telemetry volume
- Migration paths that preserve existing instrumentation
Managed observability choices
| Approach | What you get | What to watch |
|---|---|---|
| xScaler Labs | Managed backend for telemetry scale and cost control | Focused on backend infrastructure rather than every APM workflow |
| Run it yourself | Maximum control over every layer | Requires backend expertise and operational capacity |
| Full-suite vendor | Broad product surface in one account | May be more than teams need for backend-focused cost problems |
Common use cases
Reduce backend ownership for telemetry storage and retention.
Support teams standardizing on OpenTelemetry collection.
Keep existing dashboards while changing the operating model.
Related resources
FAQ
What does managed observability include?
For xScaler, managed observability means backend operations for telemetry ingestion, storage, retention, query access, and scaling across metrics, logs, and traces.
Is this a replacement for Datadog?
It can replace some backend-heavy telemetry workflows, but Datadog remains a broader monitoring suite. xScaler is a better fit when you want a managed backend with more predictable telemetry economics.
Can I use existing Grafana dashboards?
Yes. xScaler is designed to fit existing observability workflows, including Grafana-style query patterns and dashboards that already support your team.
How quickly can a team get started?
Most teams start with one workload, route telemetry to xScaler, validate queries and dashboards, and then expand once the migration and cost profile look right.
Move observability backend work out of your team’s queue
Start free or use the calculator to estimate how backend volume affects your monthly observability cost.