Skyvern Multi-Cloud Agent Architecture

MULTIArchitectureadvanced
Skyvern Multi-Cloud Agent Architecture — MULTI architecture diagram

About This Architecture

Skyvern's multi-cloud agent architecture orchestrates AI-powered automation across Google Cloud and AWS, with Gemini Enterprise users triggering agent workflows through an Agent Gateway in a dedicated GCP Partner Project. The ADK Agent runtime integrates Vertex Gemini for intelligent decision-making, Model Armor for security, and Secret Manager for credential handling, while Pub/Sub enables event-driven procurement workflows and Cloud Logging/Trace provide observability. Browser Workers in the opaque AWS SaaS layer execute web automation tasks against target sites, with artifacts persisted to a dedicated store. This architecture demonstrates hybrid cloud resilience, separation of concerns between partner infrastructure and customer tenants, and enterprise-grade security patterns including OAuth/DCR authentication and secrets management.

People also ask

How do you architect a multi-cloud AI agent platform that integrates Google Cloud Gemini with AWS web automation workers?

Skyvern's architecture uses a dedicated Google Cloud Partner Project hosting the ADK Agent runtime with Vertex Gemini integration, OAuth/DCR authentication, and Model Armor security, while delegating browser automation to AWS Browser Workers that execute against target sites. This separation isolates customer tenants from opaque SaaS infrastructure and enables event-driven workflows via Pub/Sub wi

multi-cloudgoogle-cloudawsai-agentsvertex-geminiarchitecture-diagram
Domain:
Cloud Multi
Audience:
Cloud architects designing multi-cloud AI agent platforms

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Skyvern Multi-Cloud Agent Architecture — MULTI architecture diagram

About This Architecture

Skyvern's multi-cloud agent architecture orchestrates AI-powered automation across Google Cloud and AWS, with Gemini Enterprise users triggering agent workflows through an Agent Gateway in a dedicated GCP Partner Project. The ADK Agent runtime integrates Vertex Gemini for intelligent decision-making, Model Armor for security, and Secret Manager for credential handling, while Pub/Sub enables event-driven procurement workflows and Cloud Logging/Trace provide observability. Browser Workers in the opaque AWS SaaS layer execute web automation tasks against target sites, with artifacts persisted to a dedicated store. This architecture demonstrates hybrid cloud resilience, separation of concerns between partner infrastructure and customer tenants, and enterprise-grade security patterns including OAuth/DCR authentication and secrets management.

People also ask

How do you architect a multi-cloud AI agent platform that integrates Google Cloud Gemini with AWS web automation workers?

Skyvern's architecture uses a dedicated Google Cloud Partner Project hosting the ADK Agent runtime with Vertex Gemini integration, OAuth/DCR authentication, and Model Armor security, while delegating browser automation to AWS Browser Workers that execute against target sites. This separation isolates customer tenants from opaque SaaS infrastructure and enables event-driven workflows via Pub/Sub wi

Skyvern Multi-Cloud Agent Architecture

Multiadvancedmulti-cloudgoogle-cloudawsai-agentsvertex-geminiarchitecture-diagram
Domain: Cloud MultiAudience: Cloud architects designing multi-cloud AI agent platforms
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Created by

July 5, 2026

Updated

July 5, 2026 at 1:04 AM

Type

architecture

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