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Argy
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Learning Journeys

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

Argy is designed to serve different roles within an engineering organization. Choose the path that matches your current goal.

🚀 For Developers

Focus: Speed, Autonomy, and reducing Cognitive Load.

  1. Modules, Patterns, Golden Paths: Understand how Argy standardizes without friction.
  2. Consuming Modules: Use the portal/CLI to provision and deploy through a governed self-service.
  3. Run & Operations: What “run automation” means in Argy (runbooks, baselines, ownership).

Further reading:

  • Argy AI: Use the copilot to speed up configuration, governance understanding, and operations.

🛠️ For Platform Engineers

Focus: Standardization, Governance, and Scalability.

  1. How Argy works (diagram): How Argy integrates with your existing toolchain.
  2. Building Modules: How to package schema + templates + guardrails + docs into a module.
  3. Policies & Guardrails: Governance by design (policy-as-code) without becoming a bottleneck.
  4. Versioning & Lifecycle: Evolving golden paths safely across products and environments.

Further reading:

  • Argy AI: A copilot to turn platform knowledge into contextual assistance.

📈 For CTOs & VPs of Engineering

Focus: ROI, Security, and Organizational Velocity.

  1. Why Platform Engineering: Why an IDP is critical for scaling engineering teams.
  2. Security Model: SSO/RBAC, audit logs, policy-as-code, and DevSecOps by default.
  3. Measuring Adoption: Outcomes-first measurement (adoption, friction, tickets, lead time).
  4. Is Argy right for us?: When to build vs. when to use an operating layer.

Further reading:

  • Argy AI: A practical copilot for DevSecOps automation and governance clarity.