Announcing Built On Envoy: Making Envoy Extensions Accessible to Everyone

Learn more

Product

Agent Router

Based on Envoy for high performance under load

Features

AI Gateway

Get an approved LLM catalog, unified model access, automatic fallback, & cost management

MCP Gateway

Connect agents to tools to build securely at scale

AI Guardrails

Enforce consistency, prevent data loss, supervise agent behavior

Pricing

Agent Router Service

Agent Router Enterprise

Solutions

AI Solutions

Cost & Token Visibility

One dashboard to attribute spend per person, team, or application across your full agent network.

Service Mesh

AI Enablement

Single control and management plane for load balancers, gateways, and service mesh

API Ingress

An API ingress designed for smooth Gateway API adoption

Learn

Documentation

Blog

Library

Learning Center

Cost Optimization

Comprehensive strategies for optimizing Al and ML costs.

Cost Monitoring

Track, analyze, and optimize Al and ML expenses in real time.

Cost Levers

Key mechanisms and strategies to control and optimize Al/ML costs.

Cost Tracking

Monitor, record, and analyze Al/ML expenses for better financial control.

Al Governance Framework

Systematic approaches and best practices for responsible Al management.

Al Risk Framework

Frameworks and tools for identifying and mitigating Al-related risks.

Al Compliance Framework

Guidelines and best practices for ensuring Al regulatory compliance.

Compliance Risk

Identify, assess, and manage compliance risks in Al system deployment.

Risk Mitigation Strategies

Comprehensive strategies for mitigating risks in Al and ML systems.

Model Selection for Cost

Choose Al models that balance performance requirements with cost constraints.

Company

About Tetrate

Why Tetrate

Our Customers

Leadership

Investors

Events

Newsroom

Careers

Trust & Security

Product

Agent Router

Based on Envoy for high performance under load

Features

AI Gateway

Get an approved LLM catalog, unified model access, automatic fallback, & cost management

MCP Gateway

Connect agents to tools to build securely at scale

AI Guardrails

Enforce consistency, prevent data loss, supervise agent behavior

Pricing

Agent Router Service

Agent Router Enterprise

Solutions

AI Solutions

Cost & Token Visibility

One dashboard to attribute spend per person, team, or application across your full agent network.

Service Mesh

AI Enablement

Single control and management plane for load balancers, gateways, and service mesh

API Ingress

An API ingress designed for smooth Gateway API adoption

Learn

Documentation

Blog

Library

Learning Center

Cost Optimization

Comprehensive strategies for optimizing Al and ML costs.

Cost Monitoring

Track, analyze, and optimize Al and ML expenses in real time.

Cost Levers

Key mechanisms and strategies to control and optimize Al/ML costs.

Cost Tracking

Monitor, record, and analyze Al/ML expenses for better financial control.

Al Governance Framework

Systematic approaches and best practices for responsible Al management.

Al Risk Framework

Frameworks and tools for identifying and mitigating Al-related risks.

Al Compliance Framework

Guidelines and best practices for ensuring Al regulatory compliance.

Compliance Risk

Identify, assess, and manage compliance risks in Al system deployment.

Risk Mitigation Strategies

Comprehensive strategies for mitigating risks in Al and ML systems.

Model Selection for Cost

Choose Al models that balance performance requirements with cost constraints.

Company

About Tetrate

Why Tetrate

Our Customers

Leadership

Investors

Events

Newsroom

Careers

Trust & Security

Learning
Center

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A Kubernetes Ingress Gateway is an implementation of the Kubernetes Gateway API. The Gateway API is a successor of the Kubernetes Ingress API.

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Kubernetes is now the leading orchestration platform for deploying and managing containerized applications.

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Kubernetes has become essential to modern application deployments by providing flexibility, scalability, and efficiency when managing containerized applications.

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Exposing services hosted within a Kubernetes cluster for use by external users and other IT systems requires deliberate actions.

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Kubernetes has become a core component of modern application deployment by delivering flexibility, scalability, and efficiency for managing containerized applications.