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What is OpenLIT?

OpenLIT functions as an advanced observability tool that seamlessly integrates with OpenTelemetry, specifically designed for monitoring applications. It streamlines the process of embedding observability into AI initiatives, requiring merely a single line of code for its setup. This innovative tool is compatible with prominent LLM libraries, including those from OpenAI and HuggingFace, which makes its implementation simple and intuitive. Users can effectively track LLM and GPU performance, as well as related expenses, to enhance efficiency and scalability. The platform provides a continuous stream of data for visualization, which allows for swift decision-making and modifications without hindering application performance. OpenLIT's user-friendly interface presents a comprehensive overview of LLM costs, token usage, performance metrics, and user interactions. Furthermore, it enables effortless connections to popular observability platforms such as Datadog and Grafana Cloud for automated data export. This all-encompassing strategy guarantees that applications are under constant surveillance, facilitating proactive resource and performance management. With OpenLIT, developers can concentrate on refining their AI models while the tool adeptly handles observability, ensuring that nothing essential is overlooked. Ultimately, this empowers teams to maximize both productivity and innovation in their projects.

What is Azure Managed Grafana?

Azure Managed Grafana provides a powerful and fully managed environment tailored for analytics and monitoring requirements. Supported by Grafana Enterprise, it offers the ability to create personalized data visualizations that can be adjusted to fit individual needs. Setting up Grafana dashboards is efficient, featuring high availability and secure access management through Azure’s security protocols. The service accommodates a wide range of data sources, allowing for smooth integration with both Azure data repositories and external databases. Through the amalgamation of charts, logs, and alerts, you can establish a cohesive view of your application’s performance and the health of your infrastructure. This capability not only enhances the correlation of insights across different datasets but also boosts your analytical potential. Furthermore, team members and external stakeholders can access and share Grafana dashboards, which encourages collaboration in monitoring and troubleshooting efforts. By promoting a shared environment, this feature enhances the collective ability to improve and optimize system performance, ultimately leading to more informed decision-making.

Media

Media

Integrations Supported

Grafana
Azure Marketplace
Cohere
Docker
ElevenLabs
Go
Hugging Face
Le Chat
Milvus
Ministral 8B
Mistral 7B
Mistral AI
Mistral Large
Mistral Small
NVIDIA GPU-Optimized AMI
OpenAI
Pinecone
Prometheus
Terraform
groundcover

Integrations Supported

Grafana
Azure Marketplace
Cohere
Docker
ElevenLabs
Go
Hugging Face
Le Chat
Milvus
Ministral 8B
Mistral 7B
Mistral AI
Mistral Large
Mistral Small
NVIDIA GPU-Optimized AMI
OpenAI
Pinecone
Prometheus
Terraform
groundcover

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$0.085 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenLIT

Company Location

India

Company Website

openlit.io

Company Facts

Organization Name

Microsoft

Date Founded

1974

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/managed-grafana/

Categories and Features

Categories and Features

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