Openlit

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App Details

Who is it for?
Openlit can be useful for the following user groups:., Devops engineers., Ai infrastructure architects., Ai application developers., Ai infrastructure operators

Description

OpenLit is an open-source application observability tool designed specifically for LLM and GenAI infrastructures. It integrates seamlessly with OpenTelemetry, allowing users to initiate data collection effortlessly through simple command setups like `openlit. init()` and `docker-compose -d`. The tool provides granular insights on resource usage, enabling the analysis of LLM, vector database, and GPU performance for improved operational efficiency. With real-time data streaming capabilities, OpenLit allows for immediate data visualization, facilitating quick decision-making and modifications. The user-friendly interface aids in exploring costs, token consumption, and performance metrics in a straightforward manner. OpenLit connects with popular observability platforms such as Datadog and Grafana, streamlining the data export process for enhanced monitoring and analysis.

Technical Details

Use Cases
✔️ Monitor and analyze GPU performance in LLM applications using OpenLit to optimize resource allocation and enhance operational efficiency., ✔️ Utilize OpenLit to visualize cost and token consumption in real-time, enabling quick adjustments to improve budget management for GenAI projects., ✔️ Integrate OpenLit with Datadog and Grafana for seamless data export, allowing teams to leverage existing observability platforms for comprehensive monitoring and analysis of their AI infrastructure.
Key Features
✔️ Open-source application., ✔️ Integration with OpenTelemetry., ✔️ Granular insights on resource usage., ✔️ Real-time data streaming capabilities., ✔️ Connection with observability platforms like Datadog and Grafana.

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