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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

OpenLIT serves as an observability tool that is fully integrated with OpenTelemetry, specifically tailored for application monitoring. It simplifies the integration of observability into AI projects, requiring only a single line of code for setup. This tool is compatible with leading LLM libraries, such as those from OpenAI and HuggingFace, making its implementation feel both easy and intuitive. Users can monitor LLM and GPU performance, along with associated costs, to optimize efficiency and scalability effectively. The platform streams data for visualization, enabling rapid decision-making and adjustments without compromising application performance. OpenLIT's user interface is designed to provide a clear view of LLM expenses, token usage, performance metrics, and user interactions. Additionally, it facilitates seamless connections to widely-used observability platforms like Datadog and Grafana Cloud for automatic data export. This comprehensive approach ensures that your applications are consistently monitored, allowing for proactive management of resources and performance. With OpenLIT, developers can focus on enhancing their AI models while the tool manages observability seamlessly.

Description

Sift serves as a comprehensive observability platform specifically designed for contemporary, mission-critical hardware systems, equipping engineers with the necessary infrastructure and tools to efficiently ingest, store, normalize, and analyze high-frequency, high-cardinality telemetry and event data sourced from design, validation, manufacturing, and operations, all centralized into a single, coherent source of truth instead of relying on disjointed dashboards and scripts. By bringing various data types together, Sift aligns signals from different subsystems and organizes information to facilitate rapid searches, visual assessments, and traceability, thereby enabling teams to identify anomalies, conduct root-cause analysis, automate validation processes, and troubleshoot hardware with precision in real-time. Additionally, it enhances automated data reviews, allows for no-code visualization and querying of extensive datasets, supports ongoing anomaly detection, and integrates seamlessly with engineering workflows, including CI/CD pipelines and tools, thereby fostering telemetry governance, collaboration, and knowledge capture across previously isolated teams. This holistic approach not only improves operational efficiency but also empowers teams to make informed decisions based on rich, actionable insights derived from their telemetry data.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure OpenAI Service
ChatGPT
Codestral
Codestral Mamba
Cohere
Datadog
Docker
GPT4All
Go
Grafana Cloud
Groq
Haystack
Le Chat
Llama 3
Mistral Large
NVIDIA DRIVE
Ollama
Prometheus
Qdrant
Vertex AI

Integrations

Azure OpenAI Service
ChatGPT
Codestral
Codestral Mamba
Cohere
Datadog
Docker
GPT4All
Go
Grafana Cloud
Groq
Haystack
Le Chat
Llama 3
Mistral Large
NVIDIA DRIVE
Ollama
Prometheus
Qdrant
Vertex AI

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

OpenLIT

Country

India

Website

openlit.io

Vendor Details

Company Name

Sift

Country

United States

Website

www.siftstack.com

Product Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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