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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Langtrace is an open-source observability solution designed to gather and evaluate traces and metrics, aiming to enhance your LLM applications. It prioritizes security with its cloud platform being SOC 2 Type II certified, ensuring your data remains highly protected. The tool is compatible with a variety of popular LLMs, frameworks, and vector databases. Additionally, Langtrace offers the option for self-hosting and adheres to the OpenTelemetry standard, allowing traces to be utilized by any observability tool of your preference and thus avoiding vendor lock-in. Gain comprehensive visibility and insights into your complete ML pipeline, whether working with a RAG or a fine-tuned model, as it effectively captures traces and logs across frameworks, vector databases, and LLM requests. Create annotated golden datasets through traced LLM interactions, which can then be leveraged for ongoing testing and improvement of your AI applications. Langtrace comes equipped with heuristic, statistical, and model-based evaluations to facilitate this enhancement process, thereby ensuring that your systems evolve alongside the latest advancements in technology. With its robust features, Langtrace empowers developers to maintain high performance and reliability in their machine learning projects.

Description

Security and observability tailored for Kubernetes environments. Implementing security and observability as code is essential for modern cloud-native applications. This approach encompasses cloud-native security as code for various elements, including hosts, virtual machines, containers, Kubernetes components, workloads, and services, ensuring protection for both north-south and east-west traffic while facilitating enterprise security measures and maintaining continuous compliance. Furthermore, Kubernetes-native observability as code allows for the gathering of real-time telemetry, enhanced with context from Kubernetes, offering a dynamic view of interactions among components from hosts to services. This enables swift troubleshooting through machine learning-driven detection of anomalies and performance issues. Utilizing a single framework, organizations can effectively secure, monitor, and address challenges in multi-cluster, multi-cloud, and hybrid-cloud environments operating on either Linux or Windows containers. With the ability to update and deploy security policies in mere seconds, businesses can promptly enforce compliance and address any emerging issues. This streamlined process is vital for maintaining the integrity and performance of cloud-native infrastructures.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Claude Yes 
Cohere Yes 
FortiADC No 
Gemini Yes 
Gemini 1.5 Pro Yes 
Gemini 2.0 Yes 
Gemini 2.0 Flash Yes 
Gemini Nano Yes 
Gemini Pro Yes 
Google AI Plus Yes 
Grafana Cloud Yes 
LangChain Yes 
LlamaIndex Yes 
Microsoft Azure Yes 
OpenAI Yes 
Pinecone Yes 
Pinecone Rerank v0 Yes 
Qdrant Yes 
SigNoz Yes 
pgvector Yes 

Integrations

Claude No 
Cohere No 
FortiADC Yes 
Gemini No 
Gemini 1.5 Pro No 
Gemini 2.0 No 
Gemini 2.0 Flash No 
Gemini Nano No 
Gemini Pro No 
Google AI Plus No 
Grafana Cloud No 
LangChain No 
LlamaIndex No 
Microsoft Azure No 
OpenAI No 
Pinecone No 
Pinecone Rerank v0 No 
Qdrant No 
SigNoz No 
pgvector No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Langtrace

Website

www.langtrace.ai/

Vendor Details

Company Name

Tigera

Country

United States

Website

www.tigera.io

Product Features

Cloud Security

Antivirus No 
Application Security Yes 
Behavioral Analytics No 
Encryption No 
Endpoint Management No 
Incident Management No 
Intrusion Detection System No 
Threat Intelligence No 
Two-Factor Authentication No 
Vulnerability Management No 

Cloud Workload Protection

Anomaly Detection No 
Asset Discovery No 
Cloud Gap Analysis No 
Cloud Registry No 
Data Loss Prevention (DLP) No 
Data Security No 
Governance No 
Logging & Reporting No 
Machine Learning No 
Security Audit No 
Workload Diversity No 

Container Security

Access Roles / Permissions No 
Application Performance Tracking No 
Centralized Policy Management No 
Container Stack Scanning No 
Image Vulnerability Detection No 
Reporting No 
Testing No 
View Container Metadata No 

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