Introducing Cortex XCOR: Observability, reimagined. Discover now.

Realize Speed and Reliability at Scale

Cortex XCOR supports massive workloads without performance loss or noisy neighbor risks, delivering >99.99% uptime and millisecond query latency.

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Challenges

Hyperscale Data Surges Overwhelm Legacy Observability Tools

Open-source stacks struggle to handle surges, leaving teams flying blind. Legacy SaaS tools create “noisy neighbor” problems.

Flying Blind During Critical Outages

Incidents can trigger sudden telemetry surges. Standard open source setups fail under this load, crashing the ingestion layer, leaving teams blind.

Noisy Neighbors in Multi-Tenant SaaS

Multi-tenant SaaS platforms share infrastructure. Data spikes from hyperscale users saturate shared resources, creating bottlenecks or downtime.

Linear Cost Scaling and Backend Failures

Open source tools fail under massive data footprints. Scaling these tools manually drives up infrastructure costs and overhead.

Solutions

Enterprise-Grade, Single-Tenant Architecture for Hyperscale

Cortex^® XCOR™ delivers unmatched stability and scale, with a data store purpose-built for hyperscale workloads and over 99.99% availability.

Proven Hyperscale Database Pedigree

Built by the engineers who created M3DB, Cortex XCOR sustains 3 billion data points per second (DDPS) while delivering millisecond query latency.

Complete Single-Tenant Isolation

Cortex XCOR utilizes single-tenant architecture, eliminating the noisy neighbor problem. Dashboards and queries remain snappy during peak traffic.

Industry-Leading Historical Uptime

Built to withstand data surges, Cortex XCOR backs availability with a contractually committed 99.9% uptime SLA and >99.99% historical reliability.

Benefits

Realize Uptime and Platform Predictability

A single-tenant architecture backed by a 99.9% uptime SLA keeps mission-critical dashboards lightning-fast and insulated from telemetry spikes.

Unparalleled Platform Uptime

Absorb telemetry spikes without platform failures. Maintain complete visibility during incidents.

Highly Responsive, Even at Scale

Isolate data storage and query pipelines. Dashboard responsiveness is unimpacted by data surges.

Scale Sustainably Beyond Open Source

Gain a platform built to support over 3 billion DDPS and maintain millisecond query speed.

Frequently Asked Questions

How does single-tenancy solve the noisy neighbor problem found in commercial SaaS?

Commercial SaaS platforms route customers through shared infrastructure. Hyperscale telemetry surges can exhaust shared resources, causing delays or downtime. Cortex XCOR solves this by deploying an isolated single-tenant architecture for each customer, keeping dashboards fast and unimpacted by spikes.

What real-world production workloads is the XCOR core architecture validated to handle?

Born from observability systems at Uber, the core proprietary backend is validated to sustain workloads that emit over 3 billion data points per second (DDPS). Even at this scale, the platform maintains millisecond query latency to ensure rapid troubleshooting.

How does XCOR protect engineering teams from flying blind during a severe live incident?

Standard open-source observability platforms can fail during incidents because telemetry surges overwhelm ingestion layers, leaving companies blind. Cortex XCOR is engineered to ingest massive data surges without performance loss, backing our platform with a contractually committed 99.9% uptime SLA.

Is Cortex XCOR just a managed version of open-source M3DB?

No. While our co-founders created open-source M3DB at Uber, the platform does not run on open-source software. Cortex XCOR transitioned its backend from M3DB to a proprietary data store engineered for enterprise scale, delivering enhanced query performance open-source tools cannot match.