Introducing Cortex XCOR: Observability, reimagined. Discover now.
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Metrics Monitoring

Cloud-Native Metrics

Monitor, analyze and optimize metrics with Cortex XCOR. Automate root cause analysis to compress MTTR and lower costs without losing visibility.

Challenges

Microservices architectures create noisy, high-cardinality metric data that slows MTTR, increases toil, and inflates observability spend.
Slow and Inconsistent Root Cause Analysis
Slow and Inconsistent Root Cause Analysis

Slow and Inconsistent Root Cause Analysis

Sifting through dimensions manually during incidents wastes time, inflates MTTR, and leads to inconsistent troubleshooting across engineering teams.
Metrics Overload and Maintenance Complexity
Metrics Overload and Maintenance Complexity

Metrics Overload and Maintenance Complexity

Visualizing and alerting on too many time series creates bloated dashboards, alert sprawl, and brittle metrics that require constant upkeep.
Overpaying for Low-Utility Metric Waste
Overpaying for Low-Utility Metric Waste

Overpaying for Low-Utility Metric Waste

Legacy vendor pricing models force teams to pay for massive volumes of unqueried time-series data, driving up costs without adding value.
Solutions

AI Root-Cause Analysis & Cost Control

Cortex® XCOR™ pairs guided AI analysis with dynamic metric optimization to compress MTTR, streamline team workflows, and eliminate wasted spend.

Accelerate Resolution with Investigations

Leverage automated AI Investigations to quickly guide engineers, regardless of experience, to the likely root causes.

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Simplify Developer Workflows with Operator

Replace bloated dashboards and alert fatigue with Operator, a conversational AI assistant that handles upkeep and guides workflows.

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Cut Telemetry Costs with Optimization Engine

Apply Optimization Engine rules dynamically at ingestion to drop unqueried noise and reshape spikes before vendor storage fees accrue.

Product tour
Key capabilities

How Cortex XCOR Metrics Works

Cortex XCOR pairs AI-driven workflows with dynamic ingestion controls to analyze metrics in context, eliminate waste, and compress MTTR.
Automate Operations with Operator

Automate Operations with Operator

Replace static dashboards with a conversational AI experience. Operator enables any user to troubleshoot incidents and isolate root causes fast.
Normalize Custom Data to Power AI Context

Normalize Custom Data to Power AI Context

Cortex XCOR automatically normalizes custom, business-critical metrics so AI workflows reason over full telemetry for better context.
Query Metrics at Extreme Scale

Query Metrics at Extreme Scale

Execute fast queries across huge metric volumes. The XCOR Data Store delivers millisecond latency while handling 3 billion data points per second.
Control Metric Volumes Dynamically

Control Metric Volumes Dynamically

Reshape metrics using the Optimization Engine before storage fees accrue. Eliminate low-value noise at ingestion without reinstrumenting code.
Isolate Anomalies with DDx

Isolate Anomalies with DDx

Differential Diagnosis (DDx) compares pre- and post-incident states to isolate changes in high-cardinality metrics, accelerating root-cause isolation.
Enforce Capacity Guardrails & Budgets

Enforce Capacity Guardrails & Budgets

Allocate metric capacity via credit pools. Consumption Budgets trigger Optimization Engine rules automatically before capacity limits are breached.
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Benefits

Boost Metric ROI and Cut MTTR with AI

Combine AI troubleshooting with volume governance to cut MTTR and maximize metric cost efficiency.
Compress Incident MTTR at Scale
Compress Incident MTTR at Scale

Compress Incident MTTR at Scale

Troubleshoot via AI chat to guide workflows and pinpoint root causes without manual queries.
Maximize Metric Cost-to-Value ROI
Maximize Metric Cost-to-Value ROI

Maximize Metric Cost-to-Value ROI

Use Metrics Usage Analyzer to inspect query frequency and eliminate low-value metric waste.
Eliminate Manual Metric Cleanup Toil
Eliminate Manual Metric Cleanup Toil

Eliminate Manual Metric Cleanup Toil

Apply Optimization Engine rules at ingestion to drop low-value noise without redeploying code.
Protect Budgets with Flexible Pools
Protect Budgets with Flexible Pools

Protect Budgets with Flexible Pools

Allocate capacity using Consumption Budgets. Trigger guardrails to prevent billing overages.

Frequently Asked Questions

Cortex XCOR natively ingests Prometheus remote_write, OpenTelemetry Protocol (OTLP), StatsD, DogStatsD, Graphite, and proprietary formats. Deploy the vendor-neutral Cortex XDOT Collector alongside existing scrapers and legacy pipelines without re-instrumenting code or altering collection workflows.
Cortex XCOR automatically normalizes custom telemetry without requiring rigid vendor schemas. Because custom metrics contain vital business context, the platform treats them as first-class data—allowing AI workflows to reason over complete telemetry without flying blind during incidents.
Cortex XCOR tracks metric usage down to the tag level, including query frequency, alert rules, and dashboard references. Before applying Optimization Engine rules, the platform verifies data utility, preserving high-cardinality detail for triage while eliminating noise at ingestion.
Operator serves as Cortex XCOR's primary conversational interface. It evaluates natural language requests to execute complex queries directly or dispatch specialized agentic workflows—such as running AI Investigations, constructing dashboards, pruning redundant alerts, or updating SLOs.
Consumption Budgets allocate metric capacity across teams via flexible credit pools. Rather than sending passive alerts during spikes, Consumption Budgets trigger pre-configured Optimization Engine rules at ingestion to drop or aggregate low-priority telemetry before limits are breached.