Infrastructure as Code in CAPE

What is Infrastructure as Code (IaC)?

Infrastructure as Code (IaC) is an approach to managing and provisioning computing infrastructure through machine-readable definition files, rather than manual configuration or interactive tools. Instead of setting up servers, networks, and services by hand, IaC enables developers and operators to define the desired system state in code. This code is then executed by automation tools to create and manage the infrastructure consistently and repeatably.IaC transforms infrastructure into a version-controlled, testable, and reusable asset. It allows teams to track changes, collaborate efficiently, and reproduce environments across development, testing, and production without discrepancies.

IaC transforms infrastructure into a version-controlled, testable, and reusable asset. It allows teams to track changes, collaborate efficiently, and reproduce environments across development, testing, and production without discrepancies.

How IaC Works

At its core, IaC relies on declarative or imperative configuration models. In a declarative model, users define the desired end state of the infrastructure, and the system determines how to achieve it. In an imperative model, users specify the exact sequence of steps required to reach that state.IaC tools interpret these definitions and interact with cloud platforms, orchestration systems, and APIs to provision resources such as virtual machines, storage, networking, and higher-level services. Once deployed, the same definitions can be reused or modified to scale systems, recover from failures, or replicate environments.

This approach ensures consistency, reduces human error, and enables rapid iteration. Infrastructure becomes part of the software lifecycle, integrating seamlessly with continuous integration and deployment (CI/CD) pipelines.

Infrastructure as Code within CAPE

CAPE implements Infrastructure as Code through a model-driven approach based on the SECA OpenAPI specification. Instead of manually defining infrastructure in low-level templates, CAPE uses a standardized API description as the single source of truth.

From this specification, an SDK Generator produces multiple artifacts, including a Pulumi SDK, a Nitric SDK, and a mock server. These generated components allow developers to interact with infrastructure resources programmatically while remaining aligned with the underlying platform definitions.

The Pulumi SDK serves as the primary interface for Infrastructure as Code. Developers define infrastructure using general-purpose programming languages, leveraging the generated SDK to create, configure, and manage CAPE resources in a structured way.These IaC definitions are then executed through the RYAX orchestrator, which interprets the resource specifications and provisions them on the underlying hardware and cloud infrastructure. This creates a clear separation between definition (SECA/OpenAPI), implementation (SDKs), and execution (RYAX).

In this architecture, IaC is not an isolated tool but part of a larger pipeline. Manual setup via user interfaces and agent-based approaches can coexist, but IaC provides the most reproducible and automated path. It ensures that infrastructure definitions remain consistent, versionable, and directly tied to the CAPE ecosystem.

CAPE Use Case: Automated Deployment of AI Workloads

Within CAPE, this approach enables the automated deployment of complex workloads, particularly in AI and high-performance computing scenarios. Developers define required resources—such as compute, GPUs, and services—using the generated SDKs.

The definitions are processed through the IaC pipeline and executed by the orchestrator, resulting in fully provisioned environments without manual intervention. The use of a mock server further allows validation and testing of configurations before deployment to real infrastructure.

This workflow ensures that applications can be reliably deployed, reproduced, and scaled across different CAPE environments while maintaining alignment with the platform specifications.