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What is Fabrix.ai?

Fabrix.ai functions as a comprehensive AI operations platform specifically designed for site reliability engineering, observability, network operations, and IT departments. It empowers teams with AI-driven agents and a shared context of operational data, allowing them to investigate incidents, connect insights from diverse IT systems, identify likely causes, and improve their response strategies. Through the integration of operational data and tools via the Model Context Protocol (MCP), this platform enables smooth workflows across monitoring, service management, and networking sectors. Companies can utilize Fabrix.ai to consolidate telemetry and operational insights, automate tedious investigative tasks, and assist engineers in making informed, contextually relevant operational decisions. This sophisticated solution is crafted for enterprise operations teams looking to enhance their current IT practices through AI-driven analysis and anticipatory actions, ultimately creating a more efficient and agile operational landscape. Moreover, its strong focus on collaboration and data integration highlights its ability to revolutionize conventional IT operations into a more adaptable and responsive system. As a result, teams can not only address issues more effectively but also anticipate future challenges, ensuring a proactive approach to IT management.

What is Cortex XCOR?

Palo Alto Networks Cortex XCOR is an enterprise observability platform designed to monitor, analyze, and optimize the performance and reliability of applications, infrastructure, and digital services. Built on technology from Chronosphere, the platform combines AI-powered incident investigation, conversational operations, and scalable telemetry management within a unified environment. Its observability capabilities collect and correlate metrics, logs, traces, and events across cloud-native applications, microservices, infrastructure components, and user-facing systems. XCOR Operator provides a natural language interface that allows engineers to investigate incidents, explore telemetry, construct queries, configure alerts, and generate dashboard panels. AI Investigations uses automated reasoning to analyze operational signals, identify relationships between system components, and isolate probable causes of performance degradation or service failures. Operational Fabric provides the contextual foundation for autonomous workflows by combining real-time system topology, historical operational knowledge, and previous user interactions. Application monitoring features include automatic service discovery, dependency mapping, distributed tracing, service-level objective tracking, and real-time error budget analysis. Real user monitoring captures frontend interactions, page load performance, and application errors, while synthetic monitoring helps teams evaluate the availability and responsiveness of digital services. Infrastructure observability connects application behavior with underlying cloud and computing resources to support troubleshooting across complex distributed environments. The Optimization Engine evaluates telemetry usage and applies centralized rules for dropping, sampling, or aggregating data, while configurable consumption budgets help control monitoring expenses.

Media

Media

Integrations Supported

Integrations Supported

LaunchDarkly
NudgeBee
OpenTelemetry
Opsgenie
PagerDuty
Sedai
Shoreline
Slack
TierZero

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Online Training

Company Facts

Organization Name

Fabrix.ai

Date Founded

2015

Company Location

United States

Company Website

fabrix.ai

Company Facts

Organization Name

Palo Alto Networks

Date Founded

2005

Company Location

United States

Company Website

www.paloaltonetworks.com/cortex/xcor

Categories and Features

AIOps

Not specified

Categories and Features

Agentic DevOps

Not specified

AI Observability

Not specified

AI SRE Agents

Not specified

Cloud Monitoring

Not specified

Incident Management

Not specified

Observability

Not specified

Telemetry

Not specified

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