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Deployment Guide

Understand Argy deployment models: SaaS, hybrid execution agents, and on-prem Kubernetes.

Argy supports multiple deployment models to match your security, compliance, and sovereignty constraints.

Deployment models

SaaS (Cloud-Managed)

  • Infrastructure: Azure Kubernetes Service (AKS), EU region: West Europe.
  • Agents: managed by Argy (no customer infrastructure required).
  • Best for: fast start, teams without on-prem constraints.

Hybrid

  • Control plane: Argy SaaS.
  • Execution agents: deployed on your infrastructure to run actions close to your internal resources.
  • Best for: enterprises with network/data constraints where execution must stay inside the perimeter.

On‑premises

  • Full Kubernetes deployment in your environment.
  • LLM Gateway can be installed locally (Enterprise + add-on) for strict sovereignty and air‑gapped environments.
  • Best for: regulated industries and environments where everything must stay on-prem.

What runs where (high level)

Argy provides user interfaces (Portal, Argy Chat, Argy Code) and a platform layer (API gateway + microservices). Workflow execution happens via an execution agent (Go binary), which can be SaaS-managed or self-hosted depending on your model.

Helm charts

Argy supports Kubernetes deployments via Helm with centralized configuration in values.yaml, including:

  • Replicas per service (default: 2)
  • CPU/memory resources
  • Ingress (NGINX) with SSL
  • Optional Network Policies
  • Optional OpenTelemetry Collector
  • Feature flags per environment

Next step: review the Security Model and the LLM Gateway for governance and audit details.