Arize PhoenixArize AI
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Cortex XCORPalo Alto Networks
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Related Products
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About
Phoenix is an open-source observability library designed for experimentation, evaluation, and troubleshooting. It allows AI engineers and data scientists to quickly visualize their data, evaluate performance, track down issues, and export data to improve. Phoenix is built by Arize AI, the company behind the industry-leading AI observability platform, and a set of core contributors. Phoenix works with OpenTelemetry and OpenInference instrumentation. The main Phoenix package is arize-phoenix. We offer several helper packages for specific use cases. Our semantic layer is to add LLM telemetry to OpenTelemetry. Automatically instrumenting popular packages. Phoenix's open-source library supports tracing for AI applications, via manual instrumentation or through integrations with LlamaIndex, Langchain, OpenAI, and others. LLM tracing records the paths taken by requests as they propagate through multiple steps or components of an LLM application.
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About
Palo Alto Networks Cortex XCOR is an AI-driven observability platform designed to help organizations monitor application performance, infrastructure health, and digital user experiences. The platform combines real-time telemetry analysis, automated incident investigation, and conversational AI to identify performance issues and accelerate troubleshooting. Its XCOR Operator allows engineers to investigate incidents, query telemetry, and create dashboards using natural language instructions. AI Investigations correlates logs, metrics, traces, and system dependencies to identify probable root causes of operational problems. Cortex XCOR also provides real user monitoring, application performance monitoring, infrastructure observability, and automated telemetry optimization. The platform supports OpenTelemetry standards, scalable data processing, and configurable consumption budgets to help organizations maintain system reliability while controlling observability costs.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI engineers seeking a tool to enhance the observability and performance of their AI and LLM applications
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Audience
Site reliability engineers, DevOps teams, platform engineers, cloud infrastructure teams, application developers, IT operations professionals, and enterprises seeking AI-powered observability, application performance monitoring, automated root cause analysis, infrastructure monitoring, and telemetry cost optimization
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationArize AI
United States
docs.arize.com/phoenix
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Company InformationPalo Alto Networks
Founded: 2005
United States
www.paloaltonetworks.com/cortex/xcor
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Categories |
Categories |
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Integrations
OpenTelemetry
Supported
Slack
Supported
APIFuzzer
Supported
Amazon Bedrock
Supported
Codestral Mamba
Supported
Databricks
Supported
Guardrails AI
Supported
JavaScript
Supported
JupyterLab
Supported
Ministral 8B
Supported
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Integrations
OpenTelemetry
Supported
Slack
Supported
APIFuzzer
Not Supported
Amazon Bedrock
Not Supported
Codestral Mamba
Not Supported
Databricks
Not Supported
Guardrails AI
Not Supported
JavaScript
Not Supported
JupyterLab
Not Supported
Ministral 8B
Not Supported
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