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What is Pyroscope?

Open source continuous profiling provides a robust method for pinpointing and addressing critical performance issues across your code, infrastructure, and CI/CD workflows. It enables organizations to label data according to relevant dimensions that matter most to them. This approach promotes the cost-effective and efficient storage of large quantities of high cardinality profiling data. With the use of FlameQL, users have the capability to run tailored queries that allow for quick selection and aggregation of profiles, simplifying the analysis process. You can conduct an in-depth assessment of application performance profiles utilizing our comprehensive set of profiling tools. By gaining insights into CPU and memory resource usage at any given time, you can proactively identify performance problems before they impact users. The platform also gathers profiles from various external profiling tools into a single, centralized repository, streamlining management efforts. Additionally, by integrating with your OpenTelemetry tracing data, you can access request-specific or span-specific profiles, which greatly enhance other observability metrics such as traces and logs, thus providing a deeper understanding of application performance. This all-encompassing strategy not only promotes proactive monitoring but also significantly improves overall system dependability. Furthermore, with consistent tracking and analysis, organizations can make informed decisions that lead to continuous performance optimization.

What is Arize Phoenix?

Phoenix is an open-source library designed to improve observability for experimentation, evaluation, and troubleshooting. It enables AI engineers and data scientists to quickly visualize information, evaluate performance, pinpoint problems, and export data for further development. Created by Arize AI, the team behind a prominent AI observability platform, along with a committed group of core contributors, Phoenix integrates effortlessly with OpenTelemetry and OpenInference instrumentation. The main package for Phoenix is called arize-phoenix, which includes a variety of helper packages customized for different requirements. Our semantic layer is crafted to incorporate LLM telemetry within OpenTelemetry, enabling the automatic instrumentation of commonly used packages. This versatile library facilitates tracing for AI applications, providing options for both manual instrumentation and seamless integration with platforms like LlamaIndex, Langchain, and OpenAI. LLM tracing offers a detailed overview of the pathways traversed by requests as they move through the various stages or components of an LLM application, ensuring thorough observability. This functionality is vital for refining AI workflows, boosting efficiency, and ultimately elevating overall system performance while empowering teams to make data-driven decisions.

Media

Media

Integrations Supported

Integrations Supported

APIFuzzer
Amazon Bedrock
Codestral
Codestral Mamba
CrewAI
GrowthBook
Guardrails AI
Haystack
JupyterLab
LangChain
Mathstral
Ministral 3B
Ministral 8B
Mistral 7B
Mistral Small
Mixtral 8x22B
Pixtral Large
Python
Slack
Vercel

API Availability

API Availability

Has API

Pricing Information

Free
Open source
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Pyroscope

Date Founded

2021

Company Location

United States

Company Website

pyroscope.io

Company Facts

Organization Name

Arize AI

Company Location

United States

Company Website

docs.arize.com/phoenix

Categories and Features

Observability

Not specified

Telemetry

Not specified

Categories and Features

AI Observability

Not specified

LLM Evaluation

Not specified

Semantic Layer

Not specified

Telemetry

Not specified

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