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What is Langtrace?

Langtrace serves as a comprehensive open-source observability tool aimed at collecting and analyzing traces and metrics to improve the performance of your LLM applications. With a strong emphasis on security, it boasts a cloud platform that holds SOC 2 Type II certification, guaranteeing that your data is safeguarded effectively. This versatile tool is designed to work seamlessly with a range of widely used LLMs, frameworks, and vector databases. Moreover, Langtrace supports self-hosting options and follows the OpenTelemetry standard, enabling you to use traces across any observability platforms you choose, thus preventing vendor lock-in. Achieve thorough visibility and valuable insights into your entire ML pipeline, regardless of whether you are utilizing a RAG or a finely tuned model, as it adeptly captures traces and logs from various frameworks, vector databases, and LLM interactions. By generating annotated golden datasets through recorded LLM interactions, you can continuously test and refine your AI applications. Langtrace is also equipped with heuristic, statistical, and model-based evaluations to streamline this enhancement journey, ensuring that your systems keep pace with cutting-edge technological developments. Ultimately, the robust capabilities of Langtrace empower developers to sustain high levels of performance and dependability within their machine learning initiatives, fostering innovation and improvement in their projects.

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

OpenTelemetry
Cohere
Elastic Cloud
Gemini
Gemini 1.5 Flash
Gemini 2.0 Flash
Gemini Enterprise
Google AI Plus
Grafana Cloud
Groq
Honeycomb
Microsoft Azure
Pinecone
Qdrant
SigNoz
pgvector

Integrations Supported

OpenTelemetry
Opsgenie
PagerDuty
Sedai
Shoreline

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Online Training

Company Facts

Organization Name

Langtrace

Company Website

www.langtrace.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

AI Observability

Not specified

Observability

Not specified

Telemetry

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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