Docs

Learning Journeys

Tailored paths for Developers, Platform Engineers, and Decision Makers.

Getting Started

Start with Argy: pick a deployment model, set governance, publish a first golden path.

Concepts: Modules & Golden Paths

Understand the Argy model: encapsulating workflows into versioned and configurable modules.

Deployment Guide

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

Developer Guide

How to use Argy as a developer: Argy Code, the LLM Gateway, and governed modules (golden paths).

Integrations

Argy interfaces with your toolchain: Git, CI/CD, cloud, Kubernetes, observability, secrets.

Administrator Guide

Operate Argy securely: IAM, governance (approvals), quotas, audit logs, and deployments.

Security Model

Identity, access control, auditability, and platform security by design.

API & CLI

Automate Argy beyond the UI: REST API and command-line tool.

Platform Engineer Guide

Design and govern reusable modules (golden paths) with Argy Studio, approvals, and observability.

Consuming Modules

How developers use Argy modules (golden paths) via the portal/CLI to provision, deploy, and operate with guardrails.

Run & Operations

Make execution observable and actionable: runs, logs, outputs, DORA metrics, SLO tracking, drift detection, and incident visibility.

Building Modules

How platform teams build versioned modules (golden paths) with Module Studio: schemas, actions, bindings, simulation, publishing.

Policies & Guardrails

Governance by design: approvals, auditability, and controls without blocking teams.

Versioning & Lifecycle

How golden paths evolve: versioned modules, upgrades, deprecations, and safe migrations across environments.

Measuring Adoption

Outcomes-first measurement: adoption, friction, and impact (tickets, lead time, reliability) to steer Platform Engineering.

Argy AI

Argy AI (LLM Gateway): multi-provider governance with routing, quotas, security filters, and auditability.