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Reusable child stacks instantiated from a parent template for modular resource grouping.
Distinct from Stack Templates: Distinct from Stack Templates: focuses on the hierarchical composition of stacks rather than general stack template definitions.
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ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself
Groups infrastructure components into logical stacks to define execution environments for pipelines.
This repository is a curated collection of reusable AWS CloudFormation templates that automate the provisioning of AWS resources using infrastructure as code. The templates serve as ready‑to‑deploy blueprints for common AWS components—such as VPCs, EC2 instances, databases, and security groups—and include serverless application templates that combine API Gateway with Lambda to create endpoints triggered by HTTP requests without manual configuration. The templates are written in declarative YAML or JSON and support nested stack composition, allowing related resources to be grouped into reusabl
Ships reusable child stack templates that are composed into parent stacks for modular infrastructure deployment.