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What is Tigera?

Security and observability specifically designed for Kubernetes ecosystems are crucial for the success of contemporary cloud-native applications. Adopting security and observability as code is vital for protecting various elements, such as hosts, virtual machines, containers, Kubernetes components, workloads, and services, ensuring the safeguarding of both north-south and east-west traffic while upholding enterprise security protocols and maintaining ongoing compliance. Additionally, Kubernetes-native observability as code enables the collection of real-time telemetry enriched with contextual information from Kubernetes, providing a comprehensive overview of interactions among all components, from hosts to services. This capability allows for rapid troubleshooting through the use of machine learning techniques to identify anomalies and performance challenges effectively. By leveraging a unified framework, organizations can seamlessly secure, monitor, and resolve issues across multi-cluster, multi-cloud, and hybrid-cloud environments that utilize both Linux and Windows containers. The capacity to swiftly update and implement security policies in just seconds empowers businesses to enforce compliance and tackle emerging vulnerabilities without delay. Ultimately, this efficient approach is essential for sustaining the integrity, security, and performance of cloud-native infrastructures, allowing organizations to thrive in increasingly complex environments.

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.

Media

Media

Integrations Supported

Claude
Cohere
Docker
ElevenLabs
Gemini Enterprise Agent Platform
Go
Grafana Cloud
Haystack
Mathstral
Milvus
Ministral 3B
Ministral 8B
Mixtral 8x22B
NVIDIA GPU-Optimized AMI
Ollama
OpenTelemetry
Openlayer
Prometheus
Qdrant
Terraform

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Tigera

Company Location

United States

Company Website

www.tigera.io

Company Facts

Organization Name

OpenLIT

Company Location

India

Company Website

openlit.io

Categories and Features

Cloud Security

Application Security

Container Security

Not specified

Observability

Not specified

Telemetry

Not specified

Categories and Features

AI Observability

Not specified

Observability

Not specified

Telemetry

Not specified

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