Cortex XCOR maps the environment from infra to apps in real time, correlating metrics, traces, logs, and events to connect backend to frontend.
Predictable Budgets, Complete Control
Cortex XCOR pairs the Optimization Engine with strict Consumption Budgets, setting precise limits that control data flow and prevent surprise overages.
Compress MTTR and eliminate operational toil. Keep telemetry budgets predictable and future-proof your stack with open standards.
Compress MTTR
Compress MTTR
Automate incident response with Investigations to isolate root causes and accelerate remediation.
Reduce Operational Toil
Reduce Operational Toil
Turn natural language into actionable intent with Operator to simplify operational tasks.
Keep Cost Predictable
Keep Cost Predictable
Apply active budget limits to ensure spend scales predictably alongside infrastructure growth.
Avoid Vendor Lock-in
Avoid Vendor Lock-in
Natively adheres to OpenTelemetry and Prometheus standards to eliminate proprietary lock-in.
Frequently Asked Questions
Cortex XCOR is powered by a high-performance data store proven to process over 3 billion data points per second with millisecond query latency. This enables engineering organizations to retain high-resolution infrastructure metrics without performance bottlenecks.
The Cortex XCOR Optimization Engine applies fine-grained Optimization Rules directly at ingestion before storage fees accrue. By filtering out low value telemetry data, organizations reduce telemetry volumes by 89% on average while preserving high-cardinality detail.
Cortex XCOR ingests telemetry natively via OpenTelemetry standards and OTLP protocols. You can send telemetry directly from applications instrumented with the OpenTelemetry SDK to the Cortex XDOT Collector, a fully supported distribution of the OpenTelemetry Collector.
When an alert triggers, Investigations launches automatically and reasons over XCOR’s Operational Fabric—combining system topology, custom and standard telemetry, and operational knowledge—to deliver evidence-based root cause analysis to compress MTTR.
Operator is an embedded AI operational engine that replaces static dashboards with conversational operational assistance. It interprets natural language requests and directs specialized agents to execute operational tasks and complex troubleshooting workflows, lowering operational toil for SRE and IT teams.
Cortex XCOR automatically maps custom attributes to service identities, normalizing non-standard telemetry without requiring rigid schemas or service redeployments. This unlocks complete diagnostic context across complex AI environments where custom data often represents over 50% of total volume.
Cortex XCOR in Action
See how Cortex XCOR optimizes observability at enterprise scale. Cut data noise and slash incident resolution times without slowing your engineers down.
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