Decades of combined experience running large-scale infrastructure at companies like Disney+ and Pearson. We built the product we wished existed.
Three engineers with a shared frustration — and a plan to fix it.

Distributed systems engineer with 13+ years of experience, specialising in Kubernetes infrastructure and large-scale observability systems.

Software engineer with 11+ years of experience building scalable systems and reliable data platforms.

DevOps and platform leader with 20+ years of combined engineering and management experience, specialising in cloud operations and infrastructure reliability.
A managed observability backend covering metrics, logs, and traces — so engineering teams get full-stack visibility without the operational burden. No re-instrumentation, no migration, no infrastructure to run.
We're building a backend that handles noisy production labels at scale — so teams never have to drop dimensions to control costs.
Long-term data without storage sprawl. Teams get up to a year of history across metrics, logs, and traces.
A query engine built to stay fast at scale. Sub-second PromQL, LogQL, and Jaeger responses regardless of workload size.
Tenant isolation, encryption in transit and at rest, and regional deployment options built for regulated teams.
Point your existing Prometheus, Fluentd, or OTLP exporters at xScaler Labs. Dashboards, alerts, and queries stay the same.
Usage analytics, retention controls, and team namespaces — giving platform teams full operational oversight.
Built to plug into what you already use. No lock-in, no forced migration — just point and go.
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 solve the backend problem, not just the dashboard problem. High-quality observability for every engineering team, without the operational overhead.
We'd love to discuss your observability challenges.