We built xScaler for cost-effective observability across applications, infrastructure and AI, drawing on our experience running large-scale infrastructure.
Cost-effective observability across applications, infrastructure and AI. Collect, store, explore and notify, with central management of telemetry collector agents and fleets.
Collect metrics, logs and traces across your workloads through open standards.
Long-term data without storage sprawl. Teams get up to a year of history across metrics, logs, and traces.
Investigate telemetry in the platform and connect compatible Grafana dashboards.
Use telemetry alerts and notifications to support your team's incident response.
Connect compatible instrumentation and validate dashboards, alerts and queries as you migrate.
Manage telemetry collector agents and their fleets centrally across your environments.
Open standards support adoption alongside compatible instrumentation and dashboards.
xScaler Labs started from firsthand experience building and operating large systems where observability became expensive, noisy, and harder to scale than it should have been.
We've been there - watching metrics costs spiral, dropping dimensions engineers actually needed, and spending more time fighting infrastructure than using data.
We built xScaler Labs to make observability more cost effective for the same workload, from collection and managed storage to exploration and notification.
We'd love to discuss your observability challenges.