Tetrate

What makes Tetrate different

Tetrate distinguishes itself by decoupling service mesh and AI gateway functionality from proprietary cloud lock-in, leveraging the open-source Envoy proxy as its core engine. Unlike hyperscalers that bundle networking and security into their proprietary Kubernetes distributions, Tetrate provides a cloud-agnostic platform that runs on any Kubernetes cluster, whether hosted on AWS, GCP, Azure, or on-premises. This “Built on Envoy” philosophy allows engineering teams to standardize onboarding, debugging, and traffic management across hybrid and multi-cloud environments without vendor lock-in.

The platform is particularly notable for its recent expansion into enterprise AI infrastructure. Tetrate’s Agent Router addresses the fragmentation of AI agent deployments by providing a unified gateway for multi-model routing, auto-failover, and cost attribution. By treating AI agent traffic with the same rigor as traditional microservices traffic, Tetrate enables organizations to manage token spend, enforce guardrails, and debug multi-agent chains in minutes rather than days. This approach bridges the gap between traditional DevOps practices and the emerging needs of AI-driven applications.

Pricing model

Tetrate employs a mixed pricing model that includes open-source software, self-service tiers, and enterprise subscriptions.

• Tetrate Service Operator (TSO): Free and open-source. This tool allows users to deploy and manage service mesh components on Kubernetes without a license.
• Agent Router Service: A self-service tier for developers. While specific dollar amounts are not publicly listed on the main landing page, it is positioned as a low-friction entry point for routing agents through the gateway without procurement processes.
• Agent Router Enterprise & Tetrate Service Control (TSC): These enterprise-grade offerings require direct engagement with sales for pricing. They include advanced features like cross-team cost attribution, runtime AI guardrails, and distributed deployment capabilities.

The model stands out by offering immediate value through its open-source tools (like TSO and Envoy extensions) while reserving advanced governance and AI-specific features for paid enterprise tiers. This allows teams to adopt the technology incrementally.

When it fits

• Multi-Cloud Kubernetes Strategies: Organizations running workloads across AWS, GCP, and Azure that need a consistent networking and security layer.
• Enterprise AI Operations: Teams managing multiple AI agents across different providers (e.g., OpenAI, Anthropic) that require unified routing, cost attribution, and failover capabilities.
• Strict Compliance Environments: Enterprises requiring on-premises deployment or specific data residency controls that public cloud proxies cannot satisfy.
• Legacy Modernization: Companies migrating from monolithic architectures to microservices who need robust service mesh capabilities without rewriting their entire infrastructure.

When it doesn’t

• Simple, Single-Cloud Workloads: Small teams or startups with all-in-one needs on a single cloud provider may find the complexity of a dedicated service mesh and gateway overkill compared to native cloud services.
• Non-Kubernetes Environments: Tetrate’s core value is tightly coupled with Kubernetes; it is not a general-purpose serverless or bare-metal hosting provider.

Inclusion criteria

Tetrate meets all three inclusion criteria:

1. Transparent Pricing: While enterprise pricing is custom, the existence of a free open-source tier (TSO) and a clearly defined self-service “Agent Router Service” provides transparency for entry-level users.
2. Self-Service Signup: Developers can access open-source tools and sign up for the Agent Router Service without immediate procurement conversations.
3. Public SLA/Status Page: Tetrate maintains a public status page (status.tetrate.io) and offers SLAs for its enterprise services.